NDLI: An intrusion detection system using principal component analysis and time delay neural network

Content Provider	IEEE Xplore Digital Library
Author	Byoung-Doo Kang Jae-Won Lee Jong-Ho Kim O-Hwa Kwon Chi-Young Seong Sang-Kyoon Kim
Copyright Year	2005
Description	Author affiliation: Dept of Comput. Eng., lnje Univ., Gyeongnam, South Korea (Byoung-Doo Kang; Jae-Won Lee; Jong-Ho Kim; O-Hwa Kwon; Chi-Young Seong; Sang-Kyoon Kim)
Abstract	The intrusion detection system (IDS) generally uses the misuse detection model based on rules because this model has low false alarm rates. However, the rule based IDSs are not efficient for mutated attacks, because they need additional rules for the variations of the attacks. In this paper, we propose an intrusion detection system using the principal component analysis (PCA) and the time delay neural network (TDNN). Packets on the network can be considered as gray images of which pixels represent bytes of the packets. From these continuous packet images, we extract principal components. And these components are used as an input of a TDNN classifier that discriminates between normal and abnormal packet flows. The system deals well with various mutated attacks, as well as well known attacks.
Sponsorship	IEEE Inje Univ. Busan Convention Bureau
Starting Page	442
Ending Page	445
File Size	533560
Page Count	4
File Format	PDF
ISBN	0780389409
DOI	10.1109/HEALTH.2005.1500500
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-23
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intrusion detection Principal component analysis Delay effects Neural networks Libraries Computer networks Pixel Statistical analysis Information analysis Helium
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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