Name: Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics) (en Inglés)
Price: 140.43 USD
Availability: InStock
Author: Nandita Sengupta; Jaya Sil
ISBN: 9789811527159

portada Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics) (en Inglés)

Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Nandita Sengupta; Jaya Sil

Año

2020

Idioma

Inglés

N° páginas

136

Encuadernación

Tapa Dura

ISBN13

9789811527159

N° edición

Categorías

Seguridad informática

Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics) (en Inglés)

Nandita Sengupta; Jaya Sil (Autor) · Springer · Tapa Dura

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Reseña del libro "Intrusion Detection: A Data Mining Approach (Cognitive Intelligence and Robotics) (en Inglés)"

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.