Big Data Analytics with Applications in Insider Threat Detection /

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to...

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Bibliographic Details
Main Authors: Thuraisingham, Bhavani (Author), Parveen, Pallabi (Author), Masud, Mohammad (Author), Khan, Latifur (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Auerbach Publications, 2017.
Edition:1st edition.
Subjects:
Online Access:Connect to this electronic resource
Description
Summary:Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.
Item Description:Electronic resource.
Physical Description:1 online resource (544 pages)
Format:Mode of access: World Wide Web.