Intrusion Detection

A Data Mining Approach

Jaya Sil author Nandita Sengupta author

Format:Hardback

Publisher:Springer Verlag, Singapore

Published:25th Jan '20

Currently unavailable, and unfortunately no date known when it will be back

This hardback is available in another edition too:

Intrusion Detection cover

This book presents state-of-the-art research on intrusion detection using reinforcement learning, fuzzy and rough set theories, and genetic algorithm. Reinforcement learning is employed to incrementally learn the computer network behavior, while rough and fuzzy sets are utilized to handle the uncertainty involved in the detection of traffic anomaly to secure data resources from possible attack. Genetic algorithms make it possible to optimally select the network traffic parameters to reduce the risk of network intrusion.

The book is unique in terms of its content, organization, and writing style. Primarily intended for graduate electrical and computer engineering students, it is also useful for doctoral students pursuing research in intrusion detection and practitioners interested in network security and administration. The book covers a wide range of applications, from general computer security to server, network, and cloud security.


ISBN: 9789811527159

Dimensions: unknown

Weight: unknown

136 pages

1st ed. 2020