Handbook of Research on Machine and Deep Learning Applications for Cyber Security Hardback
Edited by Padmavathi Ganapathi, D. Shanmugapriya
Part of the Advances in Information Security, Privacy, and Ethics series
As the advancement of technology continues, cyber security continues to play a significant role in today's world.
With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information.
Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research.
While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research.
It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.
- Format: Hardback
- Pages: 500 pages
- Publisher: IGI Global
- Publication Date: 30/07/2019
- Category: Computer security
- ISBN: 9781522596110