Bookcover of Self Configuring Intrusion Detection System (SCIDS)
Booktitle:

Self Configuring Intrusion Detection System (SCIDS)

LAP LAMBERT Academic Publishing (2016-07-19 )

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ISBN-13:

978-3-659-92289-3

ISBN-10:
3659922897
EAN:
9783659922893
Book language:
English
Blurb/Shorttext:
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to identify malicious use is through monitoring unusual user activity. To identify these malicious activities various data-mining and machine learning techniques have been deployed for intrusion detection. This book proposes Self Configuring Intrusion Detection System (SCIDS) to make tuning automatically. The key idea is to use the binary SLIPPER as a basic module, which is a rule learner based on confidence-rated boosting. This system is evaluated using the NSL KDD intrusion detection dataset. An experimental result shows the SCIDS system with SLIPPER algorithm gives better performance in terms of detection rate, false alarm rate, total misclassification cost and cost per example on NSL-KDD dataset than that of on KDD.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Sandip Sonawane
Number of pages:
80
Published on:
2016-07-19
Stock:
Available
Category:
Education, Occupation, Career
Price:
35.90 €
Keywords:
attack, Intrusion, Tuning, Misuse Detection, False Prediction, Confidence Value

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