Handbook of Research on Machine and Deep Learning Applications for Cyber Security
by 作者: Padmavathi Ganapathi
Release Date: July,2019
Copyright: © 2020
Pages: 482
ISBN13: 9781522596110
ISBN10: 1522596119
ISBN13: 9781522596134
Language 语言: English
Book Description
Handbook of Research on Machine and Deep Learning Applications for Cyber Security (Advances in Information Security,Privacy,and Ethics)
As the advancement of technology continues,cyber security continues to play a significant role in todays 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.
Book Description
Handbook of Research on Machine and Deep Learning Applications for Cyber Security (Advances in Information Security,Privacy,and Ethics)
As the advancement of technology continues,cyber security continues to play a significant role in todays 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.
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