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Books > Computing & IT > Computer communications & networking > Network security
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Advances in Malware and Data-Driven Network Security (Hardcover)
Loot Price: R5,784
Discovery Miles 57 840
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Advances in Malware and Data-Driven Network Security (Hardcover)
Expected to ship within 10 - 15 working days
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Every day approximately three-hundred thousand to four-hundred
thousand new malware are registered, many of them being adware and
variants of previously known malware. Anti-virus companies and
researchers cannot deal with such a deluge of malware - to analyze
and build patches. The only way to scale the efforts is to build
algorithms to enable machines to analyze malware and classify and
cluster them to such a level of granularity that it will enable
humans (or machines) to gain critical insights about them and build
solutions that are specific enough to detect and thwart existing
malware and generic-enough to thwart future variants. Advances in
Malware and Data-Driven Network Security comprehensively covers
data-driven malware security with an emphasis on using statistical,
machine learning, and AI as well as the current trends in
ML/statistical approaches to detecting, clustering, and
classification of cyber-threats. Providing information on advances
in malware and data-driven network security as well as future
research directions, it is ideal for graduate students,
academicians, faculty members, scientists, software developers,
security analysts, computer engineers, programmers, IT specialists,
and researchers who are seeking to learn and carry out research in
the area of malware and data-driven network security.
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