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Author: Zahir Tari
Publisher: John Wiley & Sons
ISBN: 1119898897
Category : Computers
Languages : en
Pages : 292
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Book Description
DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.
Author: Zahir Tari
Publisher: John Wiley & Sons
ISBN: 1119898897
Category : Computers
Languages : en
Pages : 292
Get Book Here
Book Description
DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.
Author: Zahir Tari
Publisher: John Wiley & Sons
ISBN: 1119898870
Category : Computers
Languages : en
Pages : 292
Get Book Here
Book Description
DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.
Author: Neha Singh
Publisher: John Wiley & Sons
ISBN: 1394227973
Category : Computers
Languages : en
Pages : 276
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Book Description
Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.
Author: Nam H Nguyen
Publisher: Nam H Nguyen
ISBN:
Category :
Languages : en
Pages : 311
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Book Description
The Essential Cyber Security Handbook is a great resource anywhere you go; it presents the most current and leading edge research on system safety and security. You do not need to be a cyber-security expert to protect your information. There are people out there whose main job it is trying to steal personal and financial information. Are you worried about your online safety but you do not know where to start? So this handbook will give you, students, scholars, schools, corporates, businesses, governments and technical decision-makers the necessary knowledge to make informed decisions on cyber security at home or at work. 5 Questions CEOs Should Ask About Cyber Risks, 8 Most Common Internet Security Issues You May Face, Avoiding Copyright Infringement, Avoiding Social Engineering and Phishing Attacks, Avoiding the Pitfalls of Online Trading, Banking Securely Online, Basic Security Concepts, Basics of Cloud Computing, Before You Connect a New Computer to the Internet, Benefits and Risks of Free Email Services, Benefits of BCC, Browsing Safely - Understanding Active Content and Cookies, Choosing and Protecting Passwords, Common Risks of Using Business Apps in the Cloud, Coordinating Virus and Spyware Defense, Cybersecurity for Electronic Devices, Data Backup Options, Dealing with Cyberbullies, Debunking Some Common Myths, Defending Cell Phones and PDAs Against Attack, Disposing of Devices Safely, Effectively Erasing Files, Evaluating Your Web Browser's Security Settings, Good Security Habits, Guidelines for Publishing Information Online, Handling Destructive Malware, Holiday Traveling with Personal Internet-Enabled Devices, Home Computer and Internet security, How Anonymous Are You, How to stop most of the adware tracking cookies Mac, Windows and Android, Identifying Hoaxes and Urban Legends, Keeping Children Safe Online, Playing it Safe - Avoiding Online Gaming Risks, Prepare for Heightened Phishing Risk Tax Season, Preventing and Responding to Identity Theft, Privacy and Data Security, Protect Your Workplace, Protecting Aggregated Data, Protecting Portable Devices - Data Security, Protecting Portable Devices - Physical Security, Protecting Your Privacy, Questions Bank Leaders, Real-World Warnings Keep You Safe Online, Recognizing and Avoiding Email Scams, Recognizing and Avoiding Spyware, Recognizing Fake Antiviruses, Recovering from a Trojan Horse or Virus, Recovering from Viruses, Worms, and Trojan Horses, Reducing Spam, Reviewing End-User License Agreements, Risks of File-Sharing Technology, Safeguarding Your Data, Securing Voter Registration Data, Securing Wireless Networks, Securing Your Home Network, Shopping Safely Online, Small Office or Home Office Router Security, Socializing Securely - Using Social Networking Services, Software License Agreements - Ignore at Your Own Risk, Spyware Home, Staying Safe on Social Networking Sites, Supplementing Passwords, The Risks of Using Portable Devices, Threats to mobile phones, Understanding and Protecting Yourself Against Money Mule Schemes, Understanding Anti-Virus Software, Understanding Bluetooth Technology, Understanding Denial-of-Service Attacks, Understanding Digital Signatures, Understanding Encryption, Understanding Firewalls, Understanding Hidden Threats - Rootkits and Botnets, Understanding Hidden Threats Corrupted Software Files, Understanding Internationalized Domain Names, Understanding ISPs, Understanding Patches, Understanding Voice over Internet Protocol (VoIP), Understanding Web Site Certificates, Understanding Your Computer - Email Clients, Understanding Your Computer - Operating Systems, Understanding Your Computer - Web Browsers, Using Caution with Email Attachments, Using Caution with USB Drives, Using Instant Messaging and Chat Rooms Safely, Using Wireless Technology Securely, Why is Cyber Security a Problem, Why Secure Your Browser, and Glossary of Cybersecurity Terms. A thank you to my wonderful wife Beth (Griffo) Nguyen and my amazing sons Taylor Nguyen and Ashton Nguyen for all their love and support, without their emotional support and help, none of these educational language eBooks and audios would be possible.
Author: Diego Rodrigues
Publisher: Diego Rodrigues
ISBN:
Category : Computers
Languages : en
Pages : 217
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Book Description
In today’s world, where cyber threats evolve at an alarming pace, mastering cyber intelligence techniques is not just an advantage—it’s a necessity. Welcome to "CYBER THREAT INTELLIGENCE: Essential Frameworks and Tools for Identifying and Mitigating Contemporary Threats - 2024 Edition," the definitive guide for those seeking to understand and apply advanced defense strategies against the most sophisticated threats in the digital environment. Written by Diego Rodrigues, a seasoned author with over 180 titles published in six languages, this book is designed to be the most comprehensive and up-to-date resource on Cyber Threat Intelligence (CTI). Its goal is to empower students, cybersecurity professionals, and managers in identifying, mitigating, and preventing threats. The content is meticulously structured, covering everything from theoretical foundations to the application of widely adopted frameworks such as MITRE ATT&CK, Cyber Kill Chain, and Diamond Model, while also exploring essential tools like Kali Linux, OSINT, and intelligence-sharing platforms such as STIX/TAXII. For managers, the book provides a strategic view of how threat intelligence can be integrated into an organization’s daily security operations, improving resilience against targeted attacks and strengthening defenses against emerging threats. The content will assist managers in making informed decisions about security investments and risk mitigation strategies, ensuring that their teams remain one step ahead of cybercriminals. For security professionals, this book offers a deep dive into the tools, frameworks, and methodologies used by experts in the field of CTI. You will learn how to interpret threat data, automate collection and analysis processes, and apply practical intelligence to defend critical infrastructures. The detailed coverage of emerging professions in the field—including Red Team, Blue Team, and Purple Team—will provide a clear understanding of how these roles collaborate to protect organizations from increasingly complex attacks. For students, this is the ultimate guide to gaining a solid and practical understanding of the key disciplines within cybersecurity, with exercises and case studies designed to challenge your critical thinking and problem-solving skills. Over the course of 42 chapters, you will be guided through every aspect of Cyber Threat Intelligence, from data collection and threat analysis to the creation of automated responses and artificial intelligence applied to cybersecurity. "CYBER THREAT INTELLIGENCE: Essential Frameworks and Tools for Identifying and Mitigating Contemporary Threats" is more than just a technical manual—it is an essential tool for anyone looking to lead in the field of cybersecurity. By providing a complete understanding of contemporary threats and the most advanced techniques to combat them, this book ensures that you will be prepared to face the challenges of the digital age with confidence and expertise. If you are looking to stand out in a competitive and ever-evolving job market, where security is the foundation of digital trust, this is the book that will prepare you to stay ahead of the most complex threats in the modern world. TAGS: Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable VIRUS MALWARE docker kubernetes
Author: Rob Botwright
Publisher: Rob Botwright
ISBN: 1839386010
Category : Computers
Languages : en
Pages : 247
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Book Description
Unlock the Secrets of Malware with "Malware Reverse Engineering: Cracking the Code" - Your Comprehensive Guide to Cybersecurity Are you ready to embark on a transformative journey into the world of cybersecurity and malware reverse engineering? Look no further than our book bundle, "Malware Reverse Engineering: Cracking the Code." This carefully curated collection spans four volumes, each designed to cater to your expertise level, from beginners to seasoned experts. 📘 Book 1 - Malware Reverse Engineering Essentials: A Beginner's Guide Are you new to the world of malware? This volume is your stepping stone into the exciting realm of reverse engineering. Discover the fundamental concepts and essential tools needed to dissect and understand malware. Lay a solid foundation for your cybersecurity journey. 📙 Book 2 - Mastering Malware Reverse Engineering: From Novice to Expert Ready to dive deeper into malware analysis? This book bridges the gap between foundational knowledge and advanced skills. Explore progressively complex challenges, and acquire the skills necessary to analyze a wide range of malware specimens. Transform from a novice into a proficient analyst. 📗 Book 3 - Malware Analysis and Reverse Engineering: A Comprehensive Journey Take your expertise to the next level with this comprehensive guide. Delve into both static and dynamic analysis techniques, gaining a holistic approach to dissecting malware. This volume is your ticket to becoming a proficient malware analyst with a rich tapestry of knowledge. 📕 Book 4 - Advanced Techniques in Malware Reverse Engineering: Expert-Level Insights Ready for the pinnacle of expertise? Unveil the most intricate aspects of malware analysis, including code obfuscation, anti-analysis measures, and complex communication protocols. Benefit from expert-level guidance and real-world case studies, ensuring you're prepared for the most challenging tasks in the field. Why Choose "Malware Reverse Engineering: Cracking the Code"? 🌐 Comprehensive Learning: From novice to expert, our bundle covers every step of your malware reverse engineering journey. 🔍 Real-World Insights: Benefit from real-world case studies and expert-level guidance to tackle the most complex challenges. 💡 Holistic Approach: Explore both static and dynamic analysis techniques, ensuring you have a well-rounded skill set. 🛡️ Stay Ahead of Threats: Equip yourself with the knowledge to combat evolving cyber threats and safeguard digital environments. 📚 Four Essential Volumes: Our bundle offers a complete and structured approach to mastering malware reverse engineering. Don't wait to enhance your cybersecurity skills and become a proficient malware analyst. "Malware Reverse Engineering: Cracking the Code" is your comprehensive guide to combating the ever-evolving threat landscape. Secure your copy today and join the ranks of cybersecurity experts defending our digital world.
Author: John M. Borky
Publisher: Springer
ISBN: 3319956698
Category : Technology & Engineering
Languages : en
Pages : 788
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Book Description
This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel. The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques.
Author: Sanjay Goel
Publisher: Springer Nature
ISBN: 3031565800
Category :
Languages : en
Pages : 334
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Book Description
Author: Rob Botwright
Publisher: Rob Botwright
ISBN: 183938784X
Category : Computers
Languages : en
Pages : 232
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Book Description
🔒 Get Ready to Ace Your Security+ Exam with the Ultimate Study Bundle! 🔒 Are you ready to take your cybersecurity career to the next level? Look no further! Introducing the "Security+ Exam Pass: (SY0-701)" book bundle – your all-in-one solution for mastering security architecture, threat identification, risk management, and operations. 📘 BOOK 1: Foundations of Security Architecture 📘 Embark on your cybersecurity journey with confidence! This beginner's guide will lay the groundwork for understanding security architecture fundamentals, ensuring you have a rock-solid foundation to build upon. From network security to cryptography, this book covers it all! 📘 BOOK 2: Mastering Threat Identification 📘 Become a threat identification ninja with this comprehensive guide! Learn the strategies and techniques necessary to detect and mitigate various cyber threats, from malware and phishing attacks to insider threats and beyond. Arm yourself with the knowledge needed to stay one step ahead of cybercriminals. 📘 BOOK 3: Risk Management Essentials 📘 Navigate security challenges like a pro! This book will teach you everything you need to know about risk management, from assessing and prioritizing risks to implementing effective mitigation strategies. Protect your organization from potential threats and ensure business continuity with the skills learned in this essential guide. 📘 BOOK 4: Advanced Security Operations 📘 Ready to take your security operations to the next level? Dive into advanced techniques and best practices for implementing security operations. From incident response planning to security automation, this book covers it all, equipping you with the tools needed to excel in the dynamic field of cybersecurity. 🚀 Why Choose Our Bundle? 🚀 ✅ Comprehensive Coverage: All four books cover the essential topics tested on the SY0-701 exam, ensuring you're fully prepared on exam day. ✅ Beginner-Friendly: Whether you're new to cybersecurity or a seasoned pro, our bundle is designed to meet you where you're at and help you succeed. ✅ Practical Strategies: Learn practical, real-world strategies and techniques that you can apply directly to your cybersecurity practice. ✅ Exam-Focused: Each book is specifically tailored to help you pass the SY0-701 exam, with exam tips, practice questions, and more. Don't leave your cybersecurity career to chance – invest in your future success with the "Security+ Exam Pass: (SY0-701)" book bundle today! 🎓🔒
Author: Nicolae Sfetcu
Publisher: MultiMedia Publishing
ISBN: 6060338518
Category : True Crime
Languages : en
Pages : 65
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Book Description
This book aims to provide a comprehensive analysis of Advanced Persistent Threats (APTs), including their characteristics, origins, methods, consequences, and defense strategies, with a focus on detecting these threats. It explores the concept of advanced persistent threats in the context of cyber security and cyber warfare. APTs represent one of the most insidious and challenging forms of cyber threats, characterized by their sophistication, persistence, and targeted nature. The paper examines the origins, characteristics and methods used by APT actors. It also explores the complexities associated with APT detection, analyzing the evolving tactics used by threat actors and the corresponding advances in detection methodologies. It highlights the importance of a multi-faceted approach that integrates technological innovations with proactive defense strategies to effectively identify and mitigate APT. CONTENTS: Abstract Introduction - Cybersecurity - - Challenges in cyber security - - Solutions in cyber security - Cyber warfare - - Challenges in maintaining cybersecurity - - Implications of cyber warfare Advanced Persistent Threats - Definition of APT - History of APT - Features of APT - APT methods, techniques, and models - - APT life cycle - - Consequences of APT attacks - Defense strategies - Related works - Case studies - - Titan Rain - - Sykipot - - GhostNet - - Stuxnet - - Operation Aurora - - Duque - - RSA SecureID attack - - Flame - - Carbanak - - Red October - - Other APT attacks - - Common characteristics - Opportunities and challenges - Observations on APT attacks APT detection - Features of advanced persistent threats - Evolution of APT tactics - Ways to detect APT - - Traffic analytics - - Technological approaches to APT detection - - Integrating data science and artificial intelligence - Proactive defense strategies - Related works - Notes on APT detection Conclusions Bibliography DOI: 10.58679/MM28378
