Machine Learning In Cyber Trust
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Machine Learning In Cyber Trust
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Author : Jeffrey J. P. Tsai
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-05
Machine Learning In Cyber Trust written by Jeffrey J. P. Tsai and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-05 with Computers categories.
Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms. This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work. Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.
Zero Trust Ai The Convergence Of Machine Learning And Cybersecurity
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Author : Hariprasad Sivaraman
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2025-03-13
Zero Trust Ai The Convergence Of Machine Learning And Cybersecurity written by Hariprasad Sivaraman and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Computers categories.
In an era where cyber threats evolve with unprecedented sophistication, Zero Trust AI: The Convergence of Machine Learning and Cybersecurity provides an essential guide to fortifying digital infrastructures through AI-powered Zero Trust frameworks. This comprehensive book explores the transformative integration of Zero Trust Architecture (ZTA) and Artificial Intelligence (AI), offering a roadmap for organizations seeking to secure their digital assets beyond traditional perimeter-based defenses. Dive deep into cutting-edge AI applications in threat detection, continuous authentication, and anomaly-based risk management. Learn how machine learning enhances Zero Trust models by enabling real-time policy enforcement, behavioral analytics, and automated security response. Explore practical implementations, case studies, and future trends, including adversarial AI challenges and federated learning approaches that shape the future of cybersecurity. Whether you are a cybersecurity professional, AI researcher, or policymaker, Zero Trust AI equips you with the knowledge to harness AI for building resilient, adaptive, and intelligent security ecosystems. Stay ahead in the evolving digital landscape with expert insights and actionable strategies that redefine cybersecurity paradigms.
Machine Learning For Cyber Agents
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Author : Stanislav Abaimov
language : en
Publisher: Springer Nature
Release Date : 2022-01-27
Machine Learning For Cyber Agents written by Stanislav Abaimov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-27 with Computers categories.
The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter. With the abundance of often-confusing information and lack of trust in the diverse applications of AI-based technologies, it is essential to have a book that can explain, from a cyber security standpoint, why and at what stage the emerging, powerful technology of machine learning can and should be mistrusted, and how to benefit from it while avoiding potentially disastrous consequences. In addition, this book sheds light on another highly sensitive area – the application of machine learning for offensive purposes, an aspect that is widely misunderstood, under-represented in the academic literature and requires immediate expert attention.
Transparent Ai Defenses A Random Forest Approach Augmented By Shap For Malware Threat Evaluation
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Author : Manas Yogi
language : en
Publisher: GRIN Verlag
Release Date : 2025-10-01
Transparent Ai Defenses A Random Forest Approach Augmented By Shap For Malware Threat Evaluation written by Manas Yogi and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-01 with Computers categories.
Master's Thesis from the year 2025 in the subject Computer Science - Internet, New Technologies, grade: A, , course: M.Tech, language: English, abstract: The rapid evolution of malware poses an ever-growing challenge to cybersecurity professionals and organizations worldwide. As malicious software becomes more sophisticated, traditional detection methods often fall short, necessitating advanced solutions that not only identify threats but also provide clear explanations for their predictions. This book, Transparent AI Defenses: A Random Forest Approach Augmented by SHAP for Malware Threat Evaluation, emerges from this critical need, offering a comprehensive exploration of an explainable artificial intelligence (XAI) framework tailored for malware analysis. Our journey began with a desire to bridge the gap between the predictive power of machine learning and the interpretability demanded by security experts. The Random Forest algorithm, known for its robustness, serves as the backbone of our approach, while SHAP (SHapley Additive exPlanations) enhances it by delivering actionable insights into feature importance.
Toward Game Theoretic Models To Network Security Problem Sic
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Author : Ning Bao
language : en
Publisher:
Release Date : 2011
Toward Game Theoretic Models To Network Security Problem Sic written by Ning Bao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Enhancing Computer Security With Smart Technology
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Author : V. Rao Vemuri
language : en
Publisher: Auerbach Publications
Release Date : 2005-11-21
Enhancing Computer Security With Smart Technology written by V. Rao Vemuri and has been published by Auerbach Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-21 with Computers categories.
Divided into two major parts, Enhancing Computer Security with Smart Technology introduces the problems of computer security to researchers with a machine learning background, then introduces machine learning concepts to computer security professionals. Realizing the massive scope of these subjects, the author concentrates on problems related to the detection of intrusions through the application of machine learning methods and on the practical algorithmic aspects of machine learning and its role in security. A collection of tutorials that draw from a broad spectrum of viewpoints and experience, this volume is made up of chapters written by specialists in each subject field. It is accessible to any professional with a basic background in computer science. Following an introduction to the issue of cyber-security and cyber-trust, the book offers a broad survey of the state-of-the-art in firewall technology and of the importance of Web application security. The remainder of the book focuses on the use of machine learning methods and tools and their performance.
The British National Bibliography
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Author : Arthur James Wells
language : en
Publisher:
Release Date : 2009
The British National Bibliography written by Arthur James Wells and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Bibliography, National categories.
Hands On Machine Learning For Cybersecurity
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Author : Soma Halder
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-31
Hands On Machine Learning For Cybersecurity written by Soma Halder and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-31 with Computers categories.
Get into the world of smart data security using machine learning algorithms and Python libraries Key FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workflow by applying use cases to many facets of securityImplement smart machine learning solutions to detect various cybersecurity problemsBook Description Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems What you will learnUse machine learning algorithms with complex datasets to implement cybersecurity conceptsImplement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problemsLearn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDAUnderstand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimesUse TensorFlow in the cybersecurity domain and implement real-world examplesLearn how machine learning and Python can be used in complex cyber issuesWho this book is for This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book
Machine Learning For Computer And Cyber Security
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Author : Brij B. Gupta
language : en
Publisher: CRC Press
Release Date : 2019-02-05
Machine Learning For Computer And Cyber Security written by Brij B. Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-05 with Computers categories.
While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.
Artificial Intelligence For Cyber Security Methods Issues And Possible Horizons Or Opportunities
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Author : Sanjay Misra
language : en
Publisher: Springer Nature
Release Date : 2021-05-31
Artificial Intelligence For Cyber Security Methods Issues And Possible Horizons Or Opportunities written by Sanjay Misra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-31 with Technology & Engineering categories.
This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.