Handbook of Research on Machine and Deep Learning Applications for Cyber Security (Hardcover)

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.

General

Imprint:	IGI Global
Country of origin:	United States
Release date:	July 2019
First published:	2020
Editors:	Padmavathi Ganapathi • D. Shanmugapriya
Dimensions:	279 x 216mm (L x W)
Format:	Hardcover
Pages:	500
ISBN-13:	978-1-5225-9611-0
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	1-5225-9611-9
Barcode:	9781522596110

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