Machine Learning Techniques and Analytics for Cloud Security (Hardcover)
Chakraborty, Rajdeep, Ghosh, Anupam, Mandal, Jyotsna Kumar
- 出版商: Wiley
- 出版日期: 2021-12-21
- 售價: $2,080
- 貴賓價: 9.8 折 $2,038
- 語言: 英文
- 頁數: 480
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119762251
- ISBN-13: 9781119762256
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相關分類:
Machine Learning、資訊安全
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相關主題
商品描述
The aim of this book is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud-security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource constrained devices. To solve these issues, machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, like effective intrusion detection system, zero knowledge authentication system, measures for passive attacks, protocols design, privacy system design and application and many more. This book also contains case study / projects to implement various security features using machine learning algorithms and analytics. This book will provide a learning paradigm in field of Artificial Intelligence and deep learning community with related datasets to help dive deeper into Machine Learning applications in cloud security.
作者簡介
Rajdeep Chakraborty obtained his PhD in CSE from the University of Kalyani. He is currently an assistant professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Garia, Kolkata, India. He has several publications in reputed international journals and conferences and has authored a book on hardware cryptography. His field of interest is mainly in cryptography and computer security.
Anupam Ghosh obtained his PhD in Engineering from Jadavpur University. He is currently a professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata. He has published more than 80 papers in reputed international journals and conferences. His field of interest is mainly in AI, machine learning, deep learning, image processing, soft computing, bioinformatics, IoT, data mining.
Jyotsna Kumar Mandal obtained his PhD in CSE from Jadavpur University He has more than 450 publications in reputed international journals and conferences. His field of interest is mainly in coding theory, data and network security, remote sensing & GIS-based applications, data compression error corrections, information security, watermarking, steganography and document authentication, image processing, visual cryptography, MANET, wireless and mobile computing/security, unify computing, chaos theory, and applications.
