Könyv Enhanced Intrusion Detection System Using Machine Learning Techniques Akbar Shaik

Enhanced Intrusion Detection System Using Machine Learning Techniques

Szerző: Akbar Shaik
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
21 766 Ft
This book provides a machine learning technique was proposed to identify the network attacks. IDS is...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2017
oldal
164
EAN
9786202096089
Enbook ID
18767082
Súly
235
Méretek
150 x 220 x 10

Teljes leírás

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.

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