Artificial Intelligence and Data Mining Approaches in Security Frameworks. Группа авторов
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Название: Artificial Intelligence and Data Mining Approaches in Security Frameworks
Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Жанр: Отраслевые издания
isbn: 9781119760436
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Scrivener Publishing 100 Cummings Center, Suite 541J Beverly, MA 01915-6106
Advances in Cyber Security
Series Editor: Rashmi Agrawal and D. Ganesh Gopal
Scope: The purpose of this book series is to present books that are specifically designed to address the critical security challenges in today’s computing world including cloud and mobile environments and to discuss mechanisms for defending against those attacks by using classical and modern approaches of cryptography, blockchain and other defense mechanisms. The book series presents some of the state-of-the-art research work in the field of blockchain, cryptography and security in computing and communications. It is a valuable source of knowledge for researchers, engineers, practitioners, graduates, and doctoral students who are working in the field of blockchain, cryptography, network security, and security and privacy issues in the Internet of Things (IoT). It will also be useful for faculty members of graduate schools and universities. The book series provides a comprehensive look at the various facets of cloud security: infrastructure, network, services, compliance and users. It will provide real-world case studies to articulate the real and perceived risks and challenges in deploying and managing services in a cloud infrastructure from a security perspective. The book series will serve as a platform for books dealing with security concerns of decentralized applications (DApps) and smart contracts that operate on an open blockchain. The book series will be a comprehensive and up-to-date reference on information security and assurance. Bringing together the knowledge, skills, techniques, and tools required of IT security professionals, it facilitates the up-to-date understanding required to stay one step ahead of evolving threats, standards, and regulations.
Publishers at Scrivener Martin Scrivener ([email protected]) Phillip Carmical ([email protected])
rtificial Intelligence and Data Mining Approaches in Security Frameworks
Edited by
Neeraj Bhargava Ritu BhargavaPramod Singh Rathore Rashmi Agrawal
This edition first published 2021 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA
© 2021 Scrivener Publishing LLC
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Library of Congress Cataloging-in-Publication Data
ISBN 978-1-119-76040-5
Cover image: (Antenna Tower): Carmen Hauser | Dreamstime.com Cover design by Kris Hackerott
Set in size of 11pt and Minion Pro by Manila Typesetting Company, Makati, Philippines
Printed in the USA
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Preface
Artificial Intelligence (AI) and data mining not only provide a better understanding of how real-world systems function, but they also enable us to predict system behavior before a system is actually built. They can also accurately analyze systems under varying operating conditions. This book provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. We also explained how to effectively use AI and Data Mining techniques to successfully apply the modeling and simulation techniques presented.
After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling with practical examples and coding different types of systems using modeling techniques, such as the Pattern Recognition, Automatic Threat detection, Automatic problem solving, etc.
Preparing СКАЧАТЬ