NDLI: Application of CLIPS Expert System to Malware Detection System

Content Provider	IEEE Xplore Digital Library
Author	Zhou Ruili Pan Jianfeng Tan Xiaobin Xi Hongsheng
Copyright Year	2008
Description	Author affiliation: Dept. of Autom., Univ. of Sci. & Technol. of China, China (Zhou Ruili; Pan Jianfeng; Tan Xiaobin; Xi Hongsheng)
Abstract	Malware detection is a crucial aspect of software security. Traditional signature-based detection method cannot detect zero-day attacks and some malware adopting some circumvention techniques such as polymorphic, metamorphic, obfuscation and packer. So some anomaly-based detection techniques are introduced to overcome this drawback, but these techniques have high false alarm rate and the complexity involved in determining what features should be learned in the training phase. In order to overcome these shortcomings, we propose a malware detection system based on expert systems in this paper. This system integrates signature-based analysis and anomaly-detection technique together. The signature is anomaly behavioral signatures. Accord to expertise about malware¿s major suspicious behaviors, we build the knowledge base of the expert system. And we design a behavior gathering component to intercept anomaly behaviors happened in the operating system and get significant traces leaved by malware, then present these behaviors and traces as facts. The expert system uses the knowledge base and behaviors facts to infer and give the results. This system can detect not only known malware, but some zero-day attacks using known techniques and also malware adopting low-level techniques, such as polymorphic and packer.
Starting Page	309
Ending Page	314
File Size	225906
Page Count	6
File Format	PDF
ISBN	9780769535081
DOI	10.1109/CIS.2008.100
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automation Operating systems Intrusion detection Inspection Security Application software Data mining Expert systems Computational intelligence Phase detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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