Kniha Enhancing Host/Network Security using Machine Learning Singh Nikita

Enhancing Host/Network Security using Machine Learning

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Scholars' Press
Dostupnost: Skladem u dodavatele
Odesíláme za 8-11 dnů
906
Research has taken a big leap since 1969 in security and is evolving tremendously in every aspect. H...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2015
Stránek
84
EAN
9783639769548
ISBN
3639769546
Enbook ID
09922825
Vydavatel
Hmotnost
136
Rozměry
152 x 229 x 5

Kompletní popis

Research has taken a big leap since 1969 in security and is evolving tremendously in every aspect. Here by every aspect it means security being enhanced by applying various theories from networks, intrusion detection systems, artificial intelligence, mining etc. To strengthen the security more for both hosts as well as network one may apply the machine learning techniques and this book works on the same domain to intensify the host/network security. Researchers have given huge emphasis on security with artificial intelligence and have successfully applied the algorithms to increase the intensity of security. The approach discussed here is inspired by human learning style i.e. both supervised as well as unsupervised. By using supervised learning algorithms system/network security performance can be enhanced. The book will focus on developing a detection and prevention system and to escalate the efficiency of the system it will incorporate the benefits of machine learning algorithms.

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