ELGAMAL CRYPTOSYSTEM KEY GENERATION, ENCRYPTION, DECRYPTION, AND DIGITAL SIGNATURES: LEARN BY EXAMPLES WITH PYTHON AND TKINTER PDF Download
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Author: Vivian Siahaan
Publisher: BALIGE PUBLISHING
ISBN:
Category : Computers
Languages : en
Pages : 212
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Book Description
This book presents an interactive Python application designed to showcase the ElGamal encryption algorithm through a user-friendly Tkinter graphical user interface (GUI). At its heart, the application focuses on the three core aspects of ElGamal cryptography: key generation, encryption, and decryption. Users can generate ElGamal keys of varying sizes by specifying the number of bits, and view these keys in multiple formats, including raw integers, hexadecimal, and Base64 encoding. This flexibility facilitates seamless integration of the keys into different systems and applications, making the tool invaluable for both educational purposes and practical implementations. Additionally, the application allows users to encrypt and decrypt data using the generated ElGamal keys, providing a comprehensive demonstration of how this cryptographic scheme secures information. The GUI simplifies the process of managing and visualizing encrypted and decrypted data, helping users understand the effectiveness of ElGamal encryption in maintaining data confidentiality. By combining these functionalities within an intuitive interface, the project not only illustrates key cryptographic concepts but also offers a hands-on approach to learning and applying ElGamal encryption in real-world scenarios. In chapter one, we developed a project which aims to create an intuitive graphical user interface (GUI) for generating and displaying ElGamal encryption keys using the Tkinter library. Users can specify the number of bits for key generation and view the keys in multiple formats, including raw integers, hexadecimal, and Base64 encoding. This flexibility ensures compatibility with various systems and applications, making it easier for users to integrate and verify cryptographic keys. The application features a tabbed interface that organizes the key generation process. Users can enter the desired key size in one tab and generate the keys with a button click. The keys are then displayed in separate tabs according to their format. This structured approach simplifies the comparison and verification of keys in different representations, enhancing the usability and effectiveness of the key management process. In chapter two, the fifth project integrates ElGamal encryption and decryption techniques into a user-friendly application for securing sensitive data, such as credit card numbers and transaction details. The application generates synthetic datasets to demonstrate these cryptographic methods in action, allowing users to create keys, encrypt data, and decrypt it to verify integrity and confidentiality.Built with Tkinter, the application provides an interactive experience with an intuitive graphical interface. Users can specify key generation parameters, generate synthetic transaction data, and view the original, encrypted, and decrypted data through a series of tabs. This design facilitates easy visualization of encryption and decryption effects, making the application a practical tool for understanding and experimenting with cryptographic operations. In chapter two, the ninth project involves developing a Tkinter-based GUI to demonstrate the ElGamal encryption algorithm using synthetic employee data. The application provides an intuitive platform for generating, encrypting, and decrypting data, while also visualizing results through interactive graphs. Users can manage data with multiple tabs for setup, original, encrypted, and decrypted views, and utilize matplotlib for visualizing data distributions and trends. By integrating data management, encryption, and visualization, the project offers a comprehensive tool for understanding and applying the ElGamal algorithm in a secure and user-friendly manner. In chapter three, the fourth project is designed to process Bitcoin transactions using the ElGamal encryption scheme. It features a comprehensive approach that includes generating, encrypting, decrypting, and analyzing Bitcoin transaction data. The core of the project is the integration of ElGamal encryption to ensure the confidentiality and integrity of transaction data, demonstrated through a user-friendly graphical interface. The application utilizes Tkinter for the interface and Matplotlib for data visualization, allowing users to interact with and analyze synthetic Bitcoin datasets. It supports functionalities like encryption, decryption, and digital signature verification, all while presenting data through intuitive visual graphs. This combination of encryption and visualization provides a robust tool for secure transaction processing and analysis. In chapter three, the sixth project is designed to demonstrate the integration of cryptographic techniques with data visualization and management through a graphical user interface (GUI) built using Tkinter. At its core, the project utilizes the ElGamal cryptosystem, a public-key cryptographic algorithm known for its security in encryption and digital signatures. The GUI enables users to interact with various functionalities of the ElGamal system, including encryption, decryption, and signature verification, all while managing and visualizing a synthetic dataset. The ElGamal class encapsulates the core cryptographic functionalities, providing methods for encrypting and decrypting messages, as well as signing and verifying signatures. It uses secure random number generation and hashing to ensure robust cryptographic operations. To facilitate testing and demonstration, the project includes a synthetic dataset generation function, generate_gov_dataset(), which creates a mock dataset simulating government documents with attributes like document IDs, classification levels, departments, and content. This dataset allows users to apply cryptographic techniques to structured data, providing a realistic scenario for data security operations. The process_dataset() function applies encryption and digital signatures to this synthetic dataset, transforming it into an encrypted format with corresponding signatures for content verification. The GUI, implemented in the ElGamalGUI class, serves as the primary interface, featuring tabs for viewing original and encrypted data, decrypted data, signatures, and distribution graphs. These visualizations help users understand the impact of encryption on data characteristics and evaluate the effectiveness of the cryptographic methods. Overall, this project provides a comprehensive tool for exploring cryptographic techniques in a user-friendly environment, offering valuable insights into practical applications of encryption and digital signatures in data security.
Author: Vivian Siahaan
Publisher: BALIGE PUBLISHING
ISBN:
Category : Computers
Languages : en
Pages : 212
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Book Description
This book presents an interactive Python application designed to showcase the ElGamal encryption algorithm through a user-friendly Tkinter graphical user interface (GUI). At its heart, the application focuses on the three core aspects of ElGamal cryptography: key generation, encryption, and decryption. Users can generate ElGamal keys of varying sizes by specifying the number of bits, and view these keys in multiple formats, including raw integers, hexadecimal, and Base64 encoding. This flexibility facilitates seamless integration of the keys into different systems and applications, making the tool invaluable for both educational purposes and practical implementations. Additionally, the application allows users to encrypt and decrypt data using the generated ElGamal keys, providing a comprehensive demonstration of how this cryptographic scheme secures information. The GUI simplifies the process of managing and visualizing encrypted and decrypted data, helping users understand the effectiveness of ElGamal encryption in maintaining data confidentiality. By combining these functionalities within an intuitive interface, the project not only illustrates key cryptographic concepts but also offers a hands-on approach to learning and applying ElGamal encryption in real-world scenarios. In chapter one, we developed a project which aims to create an intuitive graphical user interface (GUI) for generating and displaying ElGamal encryption keys using the Tkinter library. Users can specify the number of bits for key generation and view the keys in multiple formats, including raw integers, hexadecimal, and Base64 encoding. This flexibility ensures compatibility with various systems and applications, making it easier for users to integrate and verify cryptographic keys. The application features a tabbed interface that organizes the key generation process. Users can enter the desired key size in one tab and generate the keys with a button click. The keys are then displayed in separate tabs according to their format. This structured approach simplifies the comparison and verification of keys in different representations, enhancing the usability and effectiveness of the key management process. In chapter two, the fifth project integrates ElGamal encryption and decryption techniques into a user-friendly application for securing sensitive data, such as credit card numbers and transaction details. The application generates synthetic datasets to demonstrate these cryptographic methods in action, allowing users to create keys, encrypt data, and decrypt it to verify integrity and confidentiality.Built with Tkinter, the application provides an interactive experience with an intuitive graphical interface. Users can specify key generation parameters, generate synthetic transaction data, and view the original, encrypted, and decrypted data through a series of tabs. This design facilitates easy visualization of encryption and decryption effects, making the application a practical tool for understanding and experimenting with cryptographic operations. In chapter two, the ninth project involves developing a Tkinter-based GUI to demonstrate the ElGamal encryption algorithm using synthetic employee data. The application provides an intuitive platform for generating, encrypting, and decrypting data, while also visualizing results through interactive graphs. Users can manage data with multiple tabs for setup, original, encrypted, and decrypted views, and utilize matplotlib for visualizing data distributions and trends. By integrating data management, encryption, and visualization, the project offers a comprehensive tool for understanding and applying the ElGamal algorithm in a secure and user-friendly manner. In chapter three, the fourth project is designed to process Bitcoin transactions using the ElGamal encryption scheme. It features a comprehensive approach that includes generating, encrypting, decrypting, and analyzing Bitcoin transaction data. The core of the project is the integration of ElGamal encryption to ensure the confidentiality and integrity of transaction data, demonstrated through a user-friendly graphical interface. The application utilizes Tkinter for the interface and Matplotlib for data visualization, allowing users to interact with and analyze synthetic Bitcoin datasets. It supports functionalities like encryption, decryption, and digital signature verification, all while presenting data through intuitive visual graphs. This combination of encryption and visualization provides a robust tool for secure transaction processing and analysis. In chapter three, the sixth project is designed to demonstrate the integration of cryptographic techniques with data visualization and management through a graphical user interface (GUI) built using Tkinter. At its core, the project utilizes the ElGamal cryptosystem, a public-key cryptographic algorithm known for its security in encryption and digital signatures. The GUI enables users to interact with various functionalities of the ElGamal system, including encryption, decryption, and signature verification, all while managing and visualizing a synthetic dataset. The ElGamal class encapsulates the core cryptographic functionalities, providing methods for encrypting and decrypting messages, as well as signing and verifying signatures. It uses secure random number generation and hashing to ensure robust cryptographic operations. To facilitate testing and demonstration, the project includes a synthetic dataset generation function, generate_gov_dataset(), which creates a mock dataset simulating government documents with attributes like document IDs, classification levels, departments, and content. This dataset allows users to apply cryptographic techniques to structured data, providing a realistic scenario for data security operations. The process_dataset() function applies encryption and digital signatures to this synthetic dataset, transforming it into an encrypted format with corresponding signatures for content verification. The GUI, implemented in the ElGamalGUI class, serves as the primary interface, featuring tabs for viewing original and encrypted data, decrypted data, signatures, and distribution graphs. These visualizations help users understand the impact of encryption on data characteristics and evaluate the effectiveness of the cryptographic methods. Overall, this project provides a comprehensive tool for exploring cryptographic techniques in a user-friendly environment, offering valuable insights into practical applications of encryption and digital signatures in data security.
Author: Vivian Siahaan
Publisher: BALIGE PUBLISHING
ISBN:
Category : Computers
Languages : en
Pages : 176
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Book Description
In the rapidly evolving field of digital security, image steganography has emerged as a vital technique for embedding secret information within digital images, ensuring both privacy and data integrity. "IMAGE STEGANOGRAPHY: Least Significant Bit (LSB) with AES, DES, RSA, ECC, and ELGAMAL Cryptosystem: LEARN BY EXAMPLES WITH PYTHON AND TKINTER" delves into the intricate world of steganography, exploring how the Least Significant Bit (LSB) method can be employed in conjunction with robust cryptographic algorithms to enhance data concealment. This book provides a comprehensive guide to integrating classic and modern encryption techniques, including AES, DES, RSA, ECC, and ElGamal, within the realm of image steganography. Through practical examples and hands-on projects using Python and Tkinter, readers will gain a deep understanding of how to implement these cryptographic systems to securely encode and decode hidden messages within images. The book is designed to cater to both novices and experienced developers, offering clear explanations, detailed code examples, and user-friendly Tkinter interfaces for building and testing steganographic applications. By the end of this journey, readers will not only master the art of image-based data hiding but also develop a strong foundation in integrating advanced cryptographic methods with real-world applications. Project 1 and 2 successfully combines user-friendly design with effective data concealment techniques. By leveraging the Least Significant Bit (LSB) method, the application allows users to encode and decode text messages within images with ease. The integration of the Python Imaging Library (PIL) for image manipulation and Tkinter for the graphical interface ensures that users can interact with the program effortlessly, focusing on the functionality rather than the underlying technical complexities. The application’s dual-tab interface for encoding and decoding provides a seamless user experience, allowing users to visually compare original and encoded images, and retrieve hidden messages with immediate feedback. As an educational tool, it offers practical insight into the principles of steganography and image processing, making it accessible to individuals with varying levels of technical expertise. Overall, this project demonstrates a successful implementation of steganographic techniques in a user-friendly and interactive format, enhancing both learning and practical application of data concealment methods. Project 3 and 4 successfully merges DES encryption with steganography through a graphical user interface (GUI) to create a practical and secure method for encoding and decoding messages within images. By utilizing the Least Significant Bit (LSB) technique, the application ensures that encrypted messages are subtly embedded in image pixels, preserving the visual integrity of the images while keeping the hidden information discreet and secure. The use of DES encryption enhances the security of the messages, ensuring that only individuals with the correct password can decrypt and access the hidden content. The GUI facilitates an intuitive user experience, allowing users to seamlessly encode and decode messages while providing visual comparisons of the original and encoded images. The application’s error handling and feedback mechanisms ensure a smooth and user-friendly process. Overall, this project not only highlights the effective integration of cryptographic and steganographic techniques but also demonstrates how such technology can be made accessible and practical for secure digital communication. The combination of Tkinter's ease of use and DES encryption's robust security offers a valuable tool for confidential information management. Project 5 and 6 delivers a comprehensive and user-friendly solution for embedding and extracting encrypted messages within images using AES encryption. The application effectively combines advanced cryptographic techniques with steganography to ensure that sensitive information is both securely hidden and easily retrievable. With its intuitive Tkinter-based interface, users can seamlessly encode messages into images and decrypt them with confidence, knowing that their data is protected by robust encryption and concealed through the Least Significant Bit (LSB) technique. By supporting various image formats and providing features for image browsing and saving, the application enhances the user experience while addressing potential errors with informative guidance. As both an educational tool and a practical solution, the ImageSteganographyApp underscores the critical role of integrating data security and privacy measures in digital communications, demonstrating the practical applications of combining cryptography and steganography in a single, accessible platform. Project 7 and 8 delivers a powerful solution for secure communication by combining RSA encryption with image steganography using the Least Significant Bit (LSB) technique. By first encrypting messages with RSA's robust asymmetric algorithm and then embedding the encrypted data within an image, the application ensures that sensitive information is both confidential and covert. The use of RSA provides strong encryption that protects the message from unauthorized access, while LSB steganography discreetly hides the encrypted data, making it nearly invisible to casual observers. The Tkinter-based graphical user interface enhances user accessibility by simplifying complex cryptographic and steganographic processes. Users can generate RSA key pairs, select images for embedding or extracting messages, and manage encryption and decryption tasks through an intuitive interface. This combination of advanced encryption and stealthy data embedding is particularly valuable in fields where secure and unobtrusive communication is critical, such as in government, military, and corporate settings. Overall, the project offers a robust and practical approach to safeguarding sensitive information, blending security and secrecy effectively. Project 9 and 10 showcases an innovative approach to secure communication by integrating Elliptic Curve Cryptography (ECC) with image-based steganography within a Tkinter-based graphical user interface (GUI). The application provides a seamless and secure method for encoding confidential messages into images, leveraging ECC's strong encryption capabilities to ensure message confidentiality while using steganography to discreetly conceal the encrypted data. This dual-layer approach enhances security by not only encrypting the message but also hiding its presence, making unauthorized access significantly more challenging. The user-friendly GUI enhances the overall experience by allowing users to easily generate ECC key pairs, encrypt and embed messages, and decode hidden information without requiring extensive technical knowledge. Supporting various image formats and incorporating additional features like password protection and potential future enhancements, the application is both versatile and robust. Ultimately, this project represents a significant advancement in secure message transmission, offering a practical and accessible tool for safeguarding sensitive information through a combination of advanced cryptographic and steganographic techniques. Project 11 and 12 represents a significant advancement in secure message transmission by seamlessly integrating ElGamal encryption with image-based steganography. The graphical user interface (GUI) developed with Tkinter facilitates a straightforward and intuitive approach to managing cryptographic operations, enabling users to encode and decode messages within images effortlessly. By leveraging the ElGamal algorithm's robust encryption capabilities alongside the subtlety of steganographic techniques, the application offers a comprehensive solution for confidential communication. The practical implementation of this tool demonstrates the powerful synergy between encryption and steganography, making it accessible to users without requiring deep technical expertise. With dedicated tabs for key generation, message encoding, and decoding, the application ensures that users can securely hide and retrieve information while maintaining a user-friendly experience. This project not only highlights the potential of combining these technologies but also serves as a practical example of how advanced cryptographic methods can be effectively applied in real-world scenarios.
Author: Vivian Siahaan
Publisher: BALIGE PUBLISHING
ISBN:
Category : Computers
Languages : en
Pages : 238
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Book Description
Unlock the secrets of modern cryptography explored in this book, a comprehensive guide that takes you from the fundamentals to advanced applications in encryption, decryption, and digital signatures. Whether you're a beginner or an experienced developer, this book offers hands-on examples, real-world scenarios, and detailed explanations that make complex concepts accessible and engaging. Dive into the world of RSA, as you learn to build secure systems and protect sensitive information with confidence. Perfect for anyone looking to master the art of cryptography, this book is your key to the future of digital security. In chapter one, we implemented RSA key generation within a Tkinter-based GUI application. This example was designed to be user-friendly, allowing users to generate RSA keys with a simple button click. The process involved generating a private key and a corresponding public key, which were then displayed within a text widget for easy copying and saving. This example demonstrated the ease with which RSA keys can be generated programmatically, making cryptography more accessible to users who may not be familiar with command-line interfaces. In chapter two, we embarked on a journey to create a sophisticated RSA encryption and decryption project. We began by constructing a comprehensive Tkinter-based GUI application that allows users to generate RSA key pairs, create and sign transactions, verify signatures, and securely store transactions. The initial focus was on setting up the graphical user interface, with multiple tabs dedicated to different functionalities, ensuring that the application was both user-friendly and feature-rich. The core functionality of the application revolves around RSA key generation, transaction creation, and digital signing. The RSA keys are generated using the cryptography library, and users can generate private and public keys, which are then displayed in the application. This setup forms the foundation for securely signing transactions. The transaction creation process involves entering details like the sender, receiver, amount, and currency, after which the transaction data is signed using the private key, producing a digital signature. This digital signature ensures the authenticity and integrity of the transaction, preventing any tampering or forgery. Once transactions are signed, they can be stored in a secure manner. The application allows users to save these transactions, along with their digital signatures, in a JSON file, providing a permanent and verifiable record. This storage mechanism is crucial for maintaining the integrity of financial transactions or any sensitive data, as it ensures that each transaction is accompanied by a corresponding signature and public key, enabling later verification. The verification process is another key component of the project. The application retrieves stored transactions and verifies the digital signature against the stored public key. This process ensures that the transaction has not been altered since it was signed, confirming its authenticity. The verification feature is critical in real-world applications, where data integrity and authenticity are paramount, such as in financial systems, legal documents, or secure communications. Throughout the chapter, the project was designed with a strong emphasis on real-world applicability, robustness, and security. The example provided not only serves as a practical guide for implementing RSA encryption and decryption with digital signatures but also highlights the importance of secure key management, transaction integrity, and data authenticity in modern cryptographic applications. This project demonstrates the power of RSA in securing sensitive data and transactions in a user-friendly and accessible way, making it an essential tool for developers working with encryption in real-world scenarios. In chapter three, we some projects focused on RSA digital signatures, delving into the creation of synthetic datasets, key generation, data signing, and verification processes. The project’s primary objective is to demonstrate how RSA digital signatures can be applied in a real-world scenario by securely signing and verifying user data. This example uses a synthetic dataset of user information, including user IDs, names, emails, and registration dates, to illustrate the practical implementation of RSA cryptography. The project begins with generating RSA keys using the generate_rsa_keys function. This function creates a pair of keys: a private key used for signing data and a public key for verifying the signature. These keys are essential for the RSA cryptographic process, where the private key ensures that the data remains authentic and unaltered, while the public key is used to verify the authenticity of the signed data. The keys are serialized into PEM format, a widely-used encoding standard that facilitates the secure storage and transmission of cryptographic keys. Next, a synthetic user dataset is generated using the create_synthetic_user_dataset function. This dataset comprises a specified number of user records, each containing a unique user ID, name, email address, and registration date. The purpose of this synthetic data is to simulate a realistic environment where user information needs to be securely signed and verified. By using a synthetic dataset, we ensure that the example remains versatile and adaptable to various scenarios without relying on actual sensitive information. Once the dataset is generated, the sign_data function is employed to sign each user's data using the RSA private key. This process involves creating a digital signature for each record, ensuring that any alteration to the data after signing would invalidate the signature. The digital signature serves as a cryptographic proof of the data’s integrity and authenticity, providing a robust mechanism to detect tampering or unauthorized modifications. The signatures are then stored alongside the user data for subsequent verification. Finally, the project includes a mechanism for storing the signed data and public key in a JSON file, and a function for retrieving and verifying the data. The store_user_data function saves the user data, corresponding signatures, and the public key to a file, allowing for secure storage and later retrieval. The retrieve_and_verify_user_data function reads the stored data, verifies each signature using the public key, and confirms whether the data remains unaltered. This final step completes the demonstration of how RSA digital signatures can be effectively used to secure user data, making it a comprehensive example for those learning about cryptographic techniques in real-world applications.
Author: Rismon Hasiholan Sianipar
Publisher: Independently Published
ISBN:
Category : Computers
Languages : en
Pages : 0
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Book Description
Project 1 demonstrates generating a DSA (Digital Signature Algorithm) key pair using the cryptography library, where a 2048-bit private key is created and a corresponding public key is derived. The private key is essential for securely signing digital messages, and the public key allows others to verify these signatures. Both keys are serialized into PEM format, making them suitable for storage or transmission. The private key is serialized without encryption (though encryption is optional), while the public key is also serialized for easy sharing and use in cryptographic operations. Project 2 is a DSA (Digital Signature Algorithm) Key Generator application built with Python's tkinter for the GUI and the cryptography library for key generation. It provides an intuitive interface to generate, view, and save 2048-bit DSA key pairs, essential for secure digital signatures. The GUI features two tabs: "Generate Keys" for creating and serializing keys into PEM format, and "View Keys" for displaying them. Users can save the keys as .pem files with ease, supported by robust error handling and success notifications, making the application accessible and practical for secure communication needs. Project 3 demonstrates the process of signing and verifying a message using the Digital Signature Algorithm (DSA) in Python, while ensuring the signature is UTF-8 safe by encoding it in Base64. It begins by generating a DSA private and public key pair with a key size of 2048 bits. A message (in bytes) is then created, which is the data to be signed. The private key is used to generate a digital signature for the message using the SHA-256 hashing algorithm, ensuring the integrity and authenticity of the message. The generated signature, which is binary data, is encoded into Base64 format to make it text-safe and suitable for UTF-8 encoding. To verify the signature, the Base64-encoded signature is first decoded back into its original binary form. The public key is then used to verify the authenticity of the signature by comparing it to the message. If the verification is successful, the message "Signature is valid." is printed; otherwise, an InvalidSignature exception is raised, and the message "Signature is invalid." is displayed. This approach ensures that the digital signature can be safely transmitted or stored as text without data corruption, while still preserving its security properties. Project 4 is a Tkinter-based GUI application for Digital Signature Algorithm (DSA) operations, offering an intuitive interface for generating DSA keys, signing messages, and verifying signatures. It has two main tabs: one for generating and displaying DSA key pairs in PEM format, and another for signing and verifying messages. Users can input a message, sign it with the private key, and view the Base64-encoded signature, or verify a signature against the original message using the public key. The application handles errors gracefully, providing feedback on operations, making it a practical tool for cryptographic tasks. Project 5 and 6 provides a complete implementation for generating, signing, and verifying files using the Digital Signature Algorithm (DSA). It includes functions for creating DSA key pairs, signing file contents, and verifying signatures. The generate_and_save_keys() function generates a private and public key, serializes them to PEM format, and saves them to files. The sign_file() function uses the private key to sign the SHA-256 hash of a file's content, saving the signature in Base64 format. The verify_file_signature() function then verifies this signature using the public key, ensuring the file's authenticity and integrity.
Author: Peter Harrington
Publisher: Simon and Schuster
ISBN: 1638352453
Category : Computers
Languages : en
Pages : 558
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Book Description
Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About the Book A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interestingor useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many. Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you'll use in your day-to-day work. Many (Python) examples present the core algorithms of statistical data processing, data analysis, and data visualization in code you can reuse. You'll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos Table of Contents PART 1 CLASSIFICATION Machine learning basics Classifying with k-Nearest Neighbors Splitting datasets one feature at a time: decision trees Classifying with probability theory: naïve Bayes Logistic regression Support vector machines Improving classification with the AdaBoost meta algorithm PART 2 FORECASTING NUMERIC VALUES WITH REGRESSION Predicting numeric values: regression Tree-based regression PART 3 UNSUPERVISED LEARNING Grouping unlabeled items using k-means clustering Association analysis with the Apriori algorithm Efficiently finding frequent itemsets with FP-growth PART 4 ADDITIONAL TOOLS Using principal component analysis to simplify data Simplifying data with the singular value decomposition Big data and MapReduce
Author: V. Sivakumar Reddy
Publisher: Springer Nature
ISBN: 9811612498
Category : Technology & Engineering
Languages : en
Pages : 663
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Book Description
This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.
Author: Vivian Siahaan
Publisher: BALIGE PUBLISHING
ISBN:
Category : Computers
Languages : en
Pages : 216
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Book Description
This book is dedicated to the development of a sophisticated and feature-rich Tkinter GUI that leverages Elliptic Curve Cryptography (ECC) for various cryptographic operations, including key generation, encryption, decryption, signing, and verifying data. The primary goal is to create an interactive application that allows users to perform these operations on synthetic financial data, demonstrating the practical use of ECC in securing sensitive information. The GUI is meticulously designed with multiple tabs, each corresponding to a different cryptographic function, enabling users to navigate through key generation, data encryption/decryption, and digital signature processes seamlessly. The GUI starts with the key generation tab, where users can generate ECC key pairs. These key pairs are essential for the subsequent encryption and signing operations. The GUI provides feedback on the generated keys, displaying the public and private keys in hexadecimal format. This feature is crucial for understanding the foundational role of ECC in modern cryptography, where small key sizes provide strong security. The key generation process also highlights the advantages of ECC over traditional RSA, particularly in terms of efficiency and security per bit length. In the encryption and decryption tab, the GUI enables users to encrypt synthetic financial data using the previously generated ECC keys. The encryption process is performed using AES in Cipher Feedback (CFB) mode, with the AES key derived from the ECC private key through key derivation functions. This setup showcases the hybrid approach where ECC is used for key exchange or key derivation, and AES is employed for the actual encryption of data. The GUI displays the generated ciphertext in a hexadecimal format, along with the Initialization Vector (IV) used in the encryption process, providing a clear view of how the encrypted data is structured. The signing and verifying tab demonstrates the use of ECC for digital signatures. Here, users can sign the synthetic financial data using the ECDSA (Elliptic Curve Digital Signature Algorithm), a widely recognized algorithm for ensuring data integrity and authenticity. The GUI displays the generated digital signature in hexadecimal format, offering insights into how ECC is applied in real-world scenarios like secure messaging and digital certificates. The verification process, where the signature is checked against the original data using the ECC public key, is also integrated into the GUI, emphasizing the importance of digital signatures in verifying data authenticity. The synthetic financial data used in these operations is generated within the GUI, simulating transaction records that include fields such as transaction ID, account number, amount, currency, timestamp, and transaction type. This dataset is crucial for demonstrating the encryption and signing processes in a context that mirrors real-world financial systems. By encrypting and signing this data, users can understand how ECC can be applied to protect sensitive information in financial transactions, ensuring both confidentiality and integrity. Finally, the GUI’s design incorporates user-friendly elements such as scrolled text widgets for displaying long hexadecimal outputs, entry fields for user inputs, and clear labels for guiding the user through each cryptographic operation. The application provides a comprehensive and interactive learning experience, allowing users to explore the intricacies of ECC in a controlled environment. By integrating ECC with AES for encryption and ECDSA for signing, the GUI offers a practical demonstration of how modern cryptographic techniques can be combined to secure data, making it an invaluable tool for anyone looking to understand or teach the principles of ECC-based cryptography.
Author: Leonard S. Bobrow
Publisher: Oxford Series in Electrical and Computer Engineering
ISBN: 9780195105094
Category : Technology & Engineering
Languages : en
Pages : 1163
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Book Description
Divided into four parts: circuits, electronics, digital systems, and electromagnetics, this text provides an understanding of the fundamental principles on which modern electrical engineering is based. It is suitable for a variety of electrical engineering courses, and can also be used as a text for an introduction to electrical engineering.
Author: Eric Foster-Johnson
Publisher: *Red Hat
ISBN: 9780764549656
Category : Computers
Languages : en
Pages : 556
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Book Description
RPM is the Linux industry standard for making application installation easy and its use is gaining mindshare amongst users and administrators of other Unix platforms Offers insight and examples to creating applications that rely upon or enhance RPM, enabling users to package and deploy software in RPM format Discusses the use of RPM to manage software and examines the tools provided for user control Book will be technically reviewed by the key RPM programmer at Red Hat RED HAT PRESS(TM) Linux Solutions from the Experts at Red Hat Red Hat-the world's leading Linux company-presents a series of unrivaled guides that are reviewed and approved by the experts at Red Hat. Each book is packed with invaluable tips and techniques that are ideal for everyone from beginning to advanced network and systems professionals, as well as home and small businesses.
Author: K K Sharma
Publisher:
ISBN: 9780706987461
Category :
Languages : en
Pages : 304
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Book Description
