{"title":"Mark Stamp","description":"\u003cp\u003eDelve into the gritty world of Mark Stamp, where crime and suspense intertwine. Perfect for fans of hard-boiled detectives and thrilling mysteries, explore his gripping novels today.\u003c\/p\u003e","products":[{"product_id":"information-security-book-mark-stamp-9780470626399","title":"Information Security","description":"Now updated   your expert guide to twenty-first century information security    Information security is a rapidly evolving field. As businesses and consumers become increasingly dependent on complex multinational information systems, it is more imperative than ever to protect the confidentiality and integrity of data.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49556033437969,"sku":"GOR011240077","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50354260934929,"sku":"CIN0470626399VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":50762209526033,"sku":"CIN0470626399G","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0470626399.jpg?v=1750910799"},{"product_id":"information-security-book-mark-stamp-9781119505907","title":"Information Security","description":"Provides systematic guidance on meeting the information security challenges of the 21st century, featuring newly revised material throughout    Information Security: Principles and Practice is the must-have book for students, instructors, and early-stage professionals alike. Author Mark Stamp provides clear, accessible, and accurate information on the four critical components of information security: cryptography, access control, security protocols, and software. Readers are provided with a wealth of real-world examples that clarify complex topics, highlight important security issues, and demonstrate effective methods and strategies for protecting the confidentiality and integrity of data.   Fully revised and updated, the third edition of Information Security features a brand-new chapter on network security basics and expanded coverage of cross-site scripting (XSS) attacks, Stuxnet and other malware, the SSH protocol, secure software development, and security protocols. Fresh examples illustrate the Rivest-Shamir-Adleman (RSA) cryptosystem, Elliptic-curve cryptography (ECC), and hash functions based on bitcoin and blockchains. Updated problem sets, figures, tables, and graphs help readers develop a working knowledge of classic cryptosystems, symmetric and public key cryptography, cryptanalysis, simple authentication protocols, intrusion and malware detection systems, and more. Presenting a highly practical approach to information security, this popular textbook:     Provides up-to-date coverage of the rapidly evolving field of information security Explains session keys, perfect forward secrecy, timestamps, SSH, SSL, IPSec, Kerberos, WEP, GSM, and other authentication protocols Addresses access control techniques including authentication and authorization, ACLs and capabilities, and multilevel security and compartments Discusses software tools used for malware detection, digital rights management, and operating systems security Includes an instructor’s solution manual, PowerPoint slides, lecture videos, and additional teaching resources   Information Security: Principles and Practice, Third Edition is the perfect textbook for advanced undergraduate and graduate students in all Computer Science programs, and remains essential reading for professionals working in industrial or government security.  To request supplementary materials, please contact mailto:mark.stamp@sjsu.edu and visit the author-maintained website for more https:\/\/www.cs.sjsu.edu\/~stamp\/infosec\/.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49737807298833,"sku":"NGR9781119505907","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":50940502868241,"sku":"CIN1119505909G","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1119505909.jpg?v=1769689172"},{"product_id":"introduction-to-machine-learning-with-applications-in-information-security-book-mark-stamp-9781138626782","title":"Introduction to Machine Learning with Applications in Information Security","description":"Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is accessible and doesn’t prove theorems, or otherwise dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts.  The book covers core machine learning topics in-depth, including Hidden Markov Models, Principal Component Analysis, Support Vector Machines, and Clustering. It also includes coverage of Nearest Neighbors, Neural Networks, Boosting and AdaBoost, Random Forests, Linear Discriminant Analysis, Vector Quantization, Naive Bayes, Regression Analysis, Conditional Random Fields, and Data Analysis.  Most of the examples in the book are drawn from the field of information security, with many of the machine learning applications specifically focused on malware. The applications presented are designed to demystify machine learning techniques by providing straightforward scenarios. Many of the exercises in this book require some programming, and basic computing concepts are assumed in a few of the application sections. However, anyone with a modest amount of programming experience should have no trouble with this aspect of the book.  Instructor resources, including PowerPoint slides, lecture videos, and other relevant material are provided on an accompanying website: http:\/\/www.cs.sjsu.edu\/~stamp\/ML\/. For the reader’s benefit, the figures in the book are also available in electronic form, and in color.  About the Author  Mark Stamp has been a Professor of Computer Science at San Jose State University since 2002. Prior to that, he worked at the National Security Agency (NSA) for seven years, and a Silicon Valley startup company for two years. He received his Ph.D. from Texas Tech University in 1992. His love affair with machine learning began in the early 1990s, when he was working at the NSA, and continues today at SJSU, where he has supervised vast numbers of master’s student projects, most of which involve a combination of information security and machine learning.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":50697405661457,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":50697407430929,"sku":"NGR9781138626782","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1138626783.jpg?v=1751367483"},{"product_id":"introduction-to-machine-learning-with-applications-in-information-security-book-mark-stamp-9781032204925","title":"Introduction to Machine Learning with Applications in Information Security","description":"Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn’t prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts.  The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and Linear Discriminant Analysis (LDA). The fundamental deep learning topics of backpropagation, Convolutional Neural Networks (CNN), Multilayer Perceptrons (MLP), and Recurrent Neural Networks (RNN) are covered in depth. A broad range of advanced deep learning architectures are also presented, including Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Extreme Learning Machines (ELM), Residual Networks (ResNet), Deep Belief Networks (DBN), Bidirectional Encoder Representations from Transformers (BERT), and Word2Vec. Finally, several cutting-edge deep learning topics are discussed, including dropout regularization, attention, explainability, and adversarial attacks.  Most of the examples in the book are drawn from the field of information security, with many of the machine learning and deep learning applications focused on malware. The applications presented serve to demystify the topics by illustrating the use of various learning techniques in straightforward scenarios. Some of the exercises in this book require programming, and elementary computing concepts are assumed in a few of the application sections. However, anyone with a modest amount of computing experience should have no trouble with this aspect of the book.  Instructor resources, including PowerPoint slides, lecture videos, and other relevant material are provided on an accompanying website: http:\/\/www.cs.sjsu.edu\/~stamp\/ML\/.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51017981002001,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51017983688977,"sku":"NIN9781032204925","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52459184947473,"sku":"NLS9781032204925","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1032204923.jpg?v=1751080485"},{"product_id":"artificial-intelligence-for-cybersecurity-book-mark-stamp-9783030970864","title":"Artificial Intelligence for Cybersecurity","description":"Part I: Malware-Related Topics1. Generation of Adversarial Malware and Benign Examples using Reinforcement Learning2. Auxiliary-Classifier GAN for Malware Analysis3. Assessing the Robustness of an Image-based Malware Classifier with Smali Level Perturbations Techniques4. Detecting Botnets Through Deep Learning and Network Flow Analysis5. Interpretability of Machine Learning-Based Results of Malware Detection Using a Set of Rules6. Mobile Malware Detection using Consortium Blockchain7. BERT for Malware Classification8. Machine Learning for Malware Evolution DetectionPart II: Other Security Topics9. Gambling for Success: The Lottery Ticket Hypothesis in Deep Learning-based Side-channel Analysis10. Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication11. Clickbait Detection for YouTube Videos12. Survivability Using Artificial Intelligence Assisted Cyber Risk Warning13. Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics14. Machine Learning-Based Analysis of Free-Text Keystroke Dynamic15. Free-Text Keystroke Dynamics for User Authentication","brand":"WoB","offers":[{"title":"US \/ NEW \/ INGRAM","offer_id":51063364223249,"sku":"NIN9783030970864","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52403067584785,"sku":"NLS9783030970864","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/3030970868.jpg?v=1751095116"},{"product_id":"introduction-to-machine-learning-with-applications-in-information-security-book-mark-stamp-9781032207179","title":"Introduction to Machine Learning with Applications in Information Security","description":"Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn’t prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts.  The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and Linear Discriminant Analysis (LDA). The fundamental deep learning topics of backpropagation, Convolutional Neural Networks (CNN), Multilayer Perceptrons (MLP), and Recurrent Neural Networks (RNN) are covered in depth. A broad range of advanced deep learning architectures are also presented, including Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Extreme Learning Machines (ELM), Residual Networks (ResNet), Deep Belief Networks (DBN), Bidirectional Encoder Representations from Transformers (BERT), and Word2Vec. Finally, several cutting-edge deep learning topics are discussed, including dropout regularization, attention, explainability, and adversarial attacks.  Most of the examples in the book are drawn from the field of information security, with many of the machine learning and deep learning applications focused on malware. The applications presented serve to demystify the topics by illustrating the use of various learning techniques in straightforward scenarios. Some of the exercises in this book require programming, and elementary computing concepts are assumed in a few of the application sections. However, anyone with a modest amount of computing experience should have no trouble with this aspect of the book.  Instructor resources, including PowerPoint slides, lecture videos, and other relevant material are provided on an accompanying website: http:\/\/www.cs.sjsu.edu\/~stamp\/ML\/.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51627524555025,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51627525210385,"sku":"NGR9781032207179","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52587250024721,"sku":"NLS9781032207179","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53340284682513,"sku":"NIN9781032207179","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1032207175.jpg?v=1751142894"},{"product_id":"machine-learning-deep-learning-and-ai-for-cybersecurity-book-mark-stamp-9783031831560","title":"Machine Learning, Deep Learning and AI for Cybersecurity","description":"This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required.    This book bridges some of the gaps that exist between deep learning\/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51728243228945,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51728243753233,"sku":"NGR9783031831560","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/303183156X.jpg?v=1770374284"},{"product_id":"malware-analysis-using-artificial-intelligence-and-deep-learning-book-mark-stamp-9783030625849","title":"Malware Analysis Using Artificial Intelligence and Deep Learning","description":"​This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed.   This book fills a gap between the emerging fields of DL\/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52406687596817,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52406688481553,"sku":"NLS9783030625849","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783030625849.jpg?v=1758770177"},{"product_id":"malware-analysis-using-artificial-intelligence-and-deep-learning-book-mark-stamp-9783030625818","title":"Malware Analysis Using Artificial Intelligence and Deep Learning","description":"This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52480936149265,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52480937263377,"sku":"NLS9783030625818","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783030625818.jpg?v=1759850977"},{"product_id":"artificial-intelligence-for-cybersecurity-book-mark-stamp-9783030970895","title":"Artificial Intelligence for Cybersecurity","description":"This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity.This book also provides insight into the difficult how and why questions that arise in AI within the security domain. For example, this book includes chapters covering explainable AI, adversarial learning, resilient AI, and a wide variety of related topics. It's not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more.Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52689741938961,"sku":"NLS9783030970895","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":52760474517777,"sku":"NIN9783030970895","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783030970895.jpg?v=1762336128"}],"url":"https:\/\/www.worldofbooks.com\/en-ie\/collections\/author-books-by-mark-stamp.oembed","provider":"World of Books ","version":"1.0","type":"link"}