NDLI: Maximum entropy and payload based intrusion detection system the Me-PAYL

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Maximum entropy and payload based intrusion detection system the Me-PAYL

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Maximum entropy and payload based intrusion detection system the Me-PAYL

Content Provider	IEEE Xplore Digital Library
Author	Erhan, D. Harmanci, F.K. Anarim, E.
Copyright Year	2008
Description	Author affiliation: Elektrik ve Elektron. Muhendisligi Bolumu, Bogazici Univ., Istanbul (Erhan, D.; Harmanci, F.K.; Anarim, E.)
Abstract	In this work a payload based intrusion detection system by using the maximum entropy principle, the Me-PAYL is proposed. A network anomaly detection technique that uses sniffed data of network and based on maximum entropy and relative entropy methods is developed. Advantages of the maximum entropy approach are combined with PAYL [1] model to obtain more efficiency. The proposed method, Me-PAYL is tested with DARPA 1999 intrusion detection evaluation (IDEVAL) dataset, which is the largest dataset available with whole payloads [2].
Starting Page	1
Ending Page	4
File Size	717259
Page Count	4
File Format	PDF
ISBN	9781424419982
DOI	10.1109/SIU.2008.4632730
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-20
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Conferences Intrusion detection Entropy Computer networks Expert systems Payloads
Content Type	Text
Resource Type	Article

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