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Detecting Network Intrusion Using Computational Intelligence

Language EnglishEnglish
Book Paperback
Book Detecting Network Intrusion Using Computational Intelligence Ahmed Elngar
Libristo code: 18180747
Publishers LAP Lambert Academic Publishing, November 2016
According to rapid development and popularity of Internet and online procedures, the potential of ne... Full description
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According to rapid development and popularity of Internet and online procedures, the potential of network attacks has increased substantially in recent years. Therefore, network security needs to be concerned to provide secure information channels. Intrusion Detection System (IDS) becomes an essential component of computer security. This work is devoted to focus on how to construct a fast accurate NIDS. The book propose two different hybrid NIDS, the proposed hybrid NIDS models involves data pre-processing, data reduction and intrusion classificationtion. Experiments and Analysis of the proposed hybrid NIDSs with other previous NIDSs demonstrated that; the two proposed hybrid NIDSs enhance the intrusion detection rate and decreasing the testing speed.

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About the book

Full name Detecting Network Intrusion Using Computational Intelligence
Author Ahmed Elngar
Language English
Binding Book - Paperback
Date of issue 2017
Number of pages 172
EAN 9786202019095
Libristo code 18180747
Weight 274
Dimensions 150 x 220 x 10
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