NDLI: Memory efficacious pattern matching intrusion detection system

Content Provider	IEEE Xplore Digital Library
Author	Dhivya, S. Dhakchianandan, D. Gowtham, A. Sujatha, P.K. Kannan, A.
Copyright Year	2013
Description	Author affiliation: Madras Inst. of Technol., Anna Univ., Chennai, India (Dhivya, S.; Dhakchianandan, D.; Gowtham, A.; Sujatha, P.K.; Kannan, A.)
Abstract	In today's web-enabled world, the communications happening over the network is intensifying at a capacious rate. Not all communications are credible and malpractice can arise anywhere, anytime. If the normal traffic is slightly modified to delude the intrusion detection system, then the traditional systems might not be able to discern the same effectively. Thus, a system that could detect and ferret out the novel attacks has been proposed. Since any number of users can use a web page, maintaining the availability of the resources and allocating them to the active users as per their need is very essential. The multi-thread concept is used to share the resources that each client can use. Attribute Selection Algorithm is used as the feature extraction algorithm in weka, to yield those relevant features pertaining to the user's request and helps in achieving a more accurate result. Memory efficiency is brought in with the cascading binary search tree. The patterns are efficiently stored and hence the search for the presence of an attack is accomplished effectively. An Intrusion Detection System which is memory efficient and effective enough in detecting attacks and reducing the false positives is thus proposed.
Sponsorship	IEEE Madras Sect.
Starting Page	652
Ending Page	656
File Size	347157
Page Count	5
File Format	PDF
ISBN	9781479910243
DOI	10.1109/ICRTIT.2013.6844277
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-25
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Instruction sets Memory management Intrusion detection Memory Efficiency Binary search trees Multi-Threading Feature extraction Anomaly Classifier Intrusion Detection System Computer crime
Content Type	Text
Resource Type	Article

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