You might also like

More about Machine Learning Techniques and Analytics for Cloud Security

• Book details
• Synopsis
• Trending among others

You get 556 loyalty points

Book synopsis

MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITYThis book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutionsThe aim of Machine Learning Techniques and Analytics for Cloud Security 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, the 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, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively.AudienceResearch scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Machine Learning Techniques and Analytics for Cloud Security
• Author: Rajdeep Chakraborty, Anupam Ghosh, Jyotsna Kumar Mandal
• Language: English
• Binding: Hardback
• Number of pages: 480
• EAN: 9781119762256
• ISBN: 1119762251
• ID: 35697559
• Publisher: John Wiley & Sons Inc
• Weight: 988 g
• Dimensions: 264 × 178 × 31 mm
• Date of publishing: 04. January 2022

Trending among others

---

---

---