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Enhanced Intrusion Detection System Using Machine Learning Techniques

Enhanced Intrusion Detection System Using Machine Learning Techniques

von Akbar Shaik
Softcover - 9786202096089
64,90 €
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Beschreibung

This book provides a machine learning technique was proposed to identify the network attacks. IDS is an important technology that monitors the network traffic and identifies the network intrusions. The primary objective of this rule based intrusion detection system detects the errors with high detection rate and low false alarm rate. This book contains five chapters with including programs. Chapter 1: Covers Fundamental, motivation and Problems in IDS. Chapter 2: Discusses IDS Classification and methods. Chapter 3: Explains Development of Intrusion Detection System using Rule based Decision Tree (C4.5) Algorithm. Chapter 4: Explains Modeling of Intrusion Detection System using Rule based Genetic Algorithm. Chapter 5: Conclusions and Future work.

Details

Verlag LAP LAMBERT Academic Publishing
Ersterscheinung Dezember 2017
Maße 22 cm x 15 cm x 1 cm
Gewicht 262 Gramm
Format Softcover
ISBN-13 9786202096089
Seiten 164