Information security handbook /

"This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such as cybersecurity, IoT, Blockchain, Machine Learning, Data Science, and AI. This book brings together in one resource Information security across multiple domains. Information Secur...

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Bibliographic Details
Group Author: Zaman, Noor, 1972- (Editor); Hussain, Khalid (Editor); Humayun, Mamoona (Editor); Abdullah, Azween Bin, 1961- (Editor); Tavares, João Manuel R. S. (Editor)
Published: CRC Press, Taylor & Francis Group,
Publisher Address: Boca Raton :
Publication Dates: 2022.
Literature type: Book
Language: English
Edition: First edition.
Series: Internet of everything (IoE): security and privacy paradigm
Subjects:
Summary: "This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such as cybersecurity, IoT, Blockchain, Machine Learning, Data Science, and AI. This book brings together in one resource Information security across multiple domains. Information Security Handbook addresses the knowledge for emerging multidisciplinary research. It explores basic and high-level concepts, serves as a manual for industry, while also helping beginners to understand both basic and advanced aspects in security-related issues. The handbook explores security and privacy issues through IoT ecosystem and implications to the real world and at the same time explains the concepts of IoT-related technologies, trends, and future directions. University graduates and postgraduates, as well as research scholars, developers, and end-users, will find this handbook very useful"--
Carrier Form: xxii, 248 pages : illustrations, forms ; 24 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9780367365721
0367365723
Index Number: TK5105
CLC: TP393.08-62
Call Number: TP393.08-62/I437
Contents: SC-MCHMP : score based cluster level hybrid multi-channel MAC protocol for wireless sensor network -- Software defined networking (SDN) security concerns -- Clustering in wireless sensor netowrks using adaptive neuro fuzzy inference logic.