NDLI: Pairgram: Modeling frequency information of lookahead pairs for system call based anomaly detection

Content Provider	IEEE Xplore Digital Library
Author	Hubballi, N.
Copyright Year	2012
Description	Author affiliation: Infosys Labs, Bengaluru, India (Hubballi, N.)
Abstract	System call sequence based anomaly detection is one of the widely studied model of anomaly detection. There are two ways to model the system call sequences, one as full sequences and the other as lookahead pairs. Recently it has been shown that lookahead pairs perform better than full sequences. In this paper we propose an impurity tolerant model of anomaly detection using system calls called as Pairgram. Pairgram exploits the frequency information of lookahed pairs and build a model of normal behavior. As it is generally assumed that there is a skewed distribution of normal and abnormal sequences, more frequently occurring system call sequences are considered as normal and other way for less frequent sequences. A series of experiments on the University of New Mexico system call dataset demonstrated the effectiveness of Pairgram on impure dataset. Further the model is highly space efficient i.e., it has a constant space complexity of square of alphabet size of the program sequence.
Starting Page	1
Ending Page	10
File Size	151462
Page Count	10
File Format	PDF
ISBN	9781467302968
e-ISBN	9781467302982
e-ISBN	9781467302975
DOI	10.1109/COMSNETS.2012.6151337
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Lookahead pairs Intrusion detection system Program based anomaly detection Intrusion detection Approximation algorithms Impurity tolerant models Complexity theory Indexes Testing
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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