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Author: Venkatesh Ramanathan
Publisher:
ISBN:
Category : Biometric identification
Languages : en
Pages : 227
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Book Description
This thesis addresses digital identity for biometric / face recognition screening and cyberspace security subject to denial and deception characteristic of adversarial behavior. The adversarial aspect concerns defense and offense operations that involve impostors and identity theft. Denial and deception correspond to occlusion and disguise for biometrics, while for cyberspace security they correspond to spoofing and obfuscation. To prevent or mitigate the impacts of adversarial behavior from offensive attacks this thesis proposes the use of multi-layer data fusion. Multi-layer aspect of fusion refers to features, representations, algorithms, decision-making, adversarial aspects and their purposeful combinations. This novelty, feasibility, and utility of our research is illustrated in the physical and cyber worlds: (i) robust face recognition in the presence of occlusion and disguise, and (ii) phishing detection to prevent identity theft through spoofing and obfuscation.
Author: Venkatesh Ramanathan
Publisher:
ISBN:
Category : Biometric identification
Languages : en
Pages : 227
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Book Description
This thesis addresses digital identity for biometric / face recognition screening and cyberspace security subject to denial and deception characteristic of adversarial behavior. The adversarial aspect concerns defense and offense operations that involve impostors and identity theft. Denial and deception correspond to occlusion and disguise for biometrics, while for cyberspace security they correspond to spoofing and obfuscation. To prevent or mitigate the impacts of adversarial behavior from offensive attacks this thesis proposes the use of multi-layer data fusion. Multi-layer aspect of fusion refers to features, representations, algorithms, decision-making, adversarial aspects and their purposeful combinations. This novelty, feasibility, and utility of our research is illustrated in the physical and cyber worlds: (i) robust face recognition in the presence of occlusion and disguise, and (ii) phishing detection to prevent identity theft through spoofing and obfuscation.
Author: Venkatesh Ramanathan
Publisher:
ISBN:
Category : Biometric identification
Languages : en
Pages : 454
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Book Description
This thesis addresses digital identity for biometric / face recognition screening and cyberspace security subject to denial and deception characteristic of adversarial behavior. The adversarial aspect concerns defense and offense operations that involve impostors and identity theft. Denial and deception correspond to occlusion and disguise for biometrics, while for cyberspace security they correspond to spoofing and obfuscation. To prevent or mitigate the impacts of adversarial behavior from offensive attacks this thesis proposes the use of multi-layer data fusion. Multi-layer aspect of fusion refers to features, representations, algorithms, decision-making, adversarial aspects and their purposeful combinations. This novelty, feasibility, and utility of our research is illustrated in the physical and cyber worlds: (i) robust face recognition in the presence of occlusion and disguise, and (ii) phishing detection to prevent identity theft through spoofing and obfuscation.
Author: Shekhar Khandelwal
Publisher: CRC Press
ISBN: 1000597695
Category : Computers
Languages : en
Pages : 94
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Book Description
Phishing Detection Using Content-Based Image Classification is an invaluable resource for any deep learning and cybersecurity professional and scholar trying to solve various cybersecurity tasks using new age technologies like Deep Learning and Computer Vision. With various rule-based phishing detection techniques at play which can be bypassed by phishers, this book provides a step-by-step approach to solve this problem using Computer Vision and Deep Learning techniques with significant accuracy. The book offers comprehensive coverage of the most essential topics, including: Programmatically reading and manipulating image data Extracting relevant features from images Building statistical models using image features Using state-of-the-art Deep Learning models for feature extraction Build a robust phishing detection tool even with less data Dimensionality reduction techniques Class imbalance treatment Feature Fusion techniques Building performance metrics for multi-class classification task Another unique aspect of this book is it comes with a completely reproducible code base developed by the author and shared via python notebooks for quick launch and running capabilities. They can be leveraged for further enhancing the provided models using new advancement in the field of computer vision and more advanced algorithms.
Author: Trivedi, Shrawan Kumar
Publisher: IGI Global
ISBN: 1522520325
Category : Computers
Languages : en
Pages : 465
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Book Description
The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
Author: Samir Nanavati
Publisher: John Wiley & Sons
ISBN: 0471264784
Category : Computers
Languages : en
Pages : 320
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Book Description
An insight into the biometric industry and the steps for successful deployment Biometrics technologies verify identity through characteristics such as fingerprints, voices, and faces. By providing increased security and convenience, biometrics have begun to see widespread deployment in network, e-commerce, and retail applications. This book provides in-depth analysis of biometrics as a solution for authenticating employees and customers. Leading authority, Samir Nanavati explores privacy, security, accuracy, system design, user perceptions, and lessons learned in biometric deployments. He also assesses the real-world strengths and weaknesses of leading biometric technologies: finger-scan, iris-scan, facial-scan, voice-scan, and signature-scan. This accessible book is a necessary step in understanding and implementing biometrics. Demystifies the complex world of optical networks for IT and business managers Over the past few years, the cost of fiber optic networking has decreased, making it the best solution for providing virtually unlimited bandwidth for corporate LANs and WANs, metropolitan networks, Internet access, and broadband to the home. The only strategic book on optical networking technologies written from a real-world business perspective, Optical Networking demystifies complex fiber technologies for managers, and details the practical business benefits an optical network can offer. Debra Cameron explores established and emerging markets for optical networks as well as the enabling technologies, applications, network architectures, key deployment issues, and cost considerations. She also provides in-depth case studies of optical networks now in use in the United States and abroad.
Author: G. De Giacomo
Publisher: IOS Press
ISBN: 164368101X
Category : Computers
Languages : en
Pages : 3122
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Book Description
This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.
Author: R. Sujatha
Publisher: CRC Press
ISBN: 1000454533
Category : Computers
Languages : en
Pages : 217
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Book Description
Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of Big Data as well as Deep Learning systems. This book discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and decision-making. It also covers numerous applications in healthcare, education, communication, media, and entertainment. Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics offers innovative platforms for integrating Big Data and Deep Learning and presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval. FEATURES Provides insight into the skill set that leverages one’s strength to act as a good data analyst Discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and help in decision-making Covers numerous potential applications in healthcare, education, communication, media, and entertainment Offers innovative platforms for integrating Big Data and Deep Learning Presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval from Big Data This book is aimed at industry professionals, academics, research scholars, system modelers, and simulation experts.
Author: O.A. Akanbi
Publisher: Syngress
ISBN: 0128029463
Category : Computers
Languages : en
Pages : 101
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Book Description
Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats. This methodology can prove useful to a wide variety of businesses and organizations who are seeking solutions to this long-standing threat. A Machine-Learning Approach to Phishing Detetion and Defense also provides information security researchers with a starting point for leveraging the machine algorithm approach as a solution to other information security threats. - Discover novel research into the uses of machine-learning principles and algorithms to detect and prevent phishing attacks - Help your business or organization avoid costly damage from phishing sources - Gain insight into machine-learning strategies for facing a variety of information security threats
Author: S Poonkuntran
Publisher: CRC Press
ISBN: 1000686744
Category : Computers
Languages : en
Pages : 276
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Book Description
Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection
Author: Christian Rathgeb
Publisher: Springer Science & Business Media
ISBN: 1461455715
Category : Computers
Languages : en
Pages : 371
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Book Description
Iris Biometrics: From Segmentation to Template Security provides critical analysis, challenges and solutions on recent iris biometric research topics, including image segmentation, image compression, watermarking, advanced comparators, template protection and more. Open source software is also provided on a dedicated website which includes feature extraction, segmentation and matching schemes applied in this book to foster scientific exchange. Current state-of-the-art approaches accompanied by comprehensive experimental evaluations are presented as well. This book has been designed as a secondary text book or reference for researchers and advanced-level students in computer science and electrical engineering. Professionals working in this related field will also find this book useful as a reference.
