Big data analytics with applications in insider threat detection /

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Bibliographic Details
Author / Creator:	Thuraisingham, Bhavani M., author.
Imprint:	Boca Raton, FL : CRC Press, [2018] ©2018
Description:	1 online resource (1 volume) : illustrations
Language:	English
Subject:	Computer security -- Data processing. Malware (Computer software) Big data. Computer crimes -- Investigation. Computer networks -- Access control. Big data Computer crimes -- Investigation Computer networks -- Access control Malware (Computer software)
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13656308

Hidden Bibliographic Details
Other authors / contributors:	Masud, Mehedy, author. Parveen, Pallabi, author. Khan, Latifur, author.
ISBN:	9781351645768 1351645765 1498705472 9781498705479 1498705480 9781498705486 1315119455 9781315119458 9781498705479 9781498705486 9781315119458
Digital file characteristics:	data file
Notes:	Includes bibliographical references and index. Online resource; title from title page (viewed February 1, 2018).
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.

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Big data analytics with applications in insider threat detection /

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