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| Wei Ren, Lizhe Wang, Kim-Kwang Raymond Choo, Fatos Xhafa | ||||
| The Institution of Engineering and Technology | ||||
| 2019 | ||||
| English | ||||
| 312 pages | ||||
| 7.13 MB | ||||
[tab] [content title="Summary"] As big data continues to expand and cloud computing becomes the standard, the security and privacy of systems and data are more critical than ever, especially in light of emerging threats and challenges. This book provides a comprehensive exploration of how to enhance security and privacy in the context of big data, cloud computing, and their various applications. Key topics covered include: - Cryptographic tools for securing data and communications - Security in Software-Defined Networking (SDN) - Big data security in the Internet of Things (IoT) - Privacy-preserving techniques for handling big data - Security architectures based on the cyber kill chain model - Privacy-aware digital forensics methodologies - Trustworthy computing systems - Privacy verification using machine learning techniques - Chaos-based communication systems for secure data transmission This book is an essential resource for networking, computing, and communications professionals, as well as researchers, students, and engineers working with big data and cloud computing. It offers valuable insights and solutions for tackling the critical issues of security and privacy in modern digital infrastructures. [/content] [content title="Content"] [/content] [content title="Author(s)"] [/content] [/tab]
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Key-Words: Télécharger Security and Privacy for Big Data, Cloud Computing and Applications EBOOK PDF EPUB DJVU . Download Security and Privacy for Big Data, Cloud Computing and Applications EBOOK PDF EPUB DJVU .
