Deep Learning Applications for Cyber Security (1st ed. 2019) (Advanced Sciences and Technologies for Security Applications)

By: Mamoun Alazab and MingJian Tang

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Synopsis: Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.

Book Quality:: Publisher Quality
ISBN-13:: 9783030130572
Related ISBNs:: 9783030130565
Publisher:: Springer International Publishing
Date of Addition:: 09/05/19
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Social Studies, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Mamoun Alazab
Edited by:: MingJian Tang