NDLI: Class-wise information gain

Content Provider	IEEE Xplore Digital Library
Author	Pengtao Zhang Ying Tan
Copyright Year	2013
Description	Author affiliation: Dept. of Machine Intell., Peking Univ., Beijing, China (Pengtao Zhang; Ying Tan)
Abstract	This paper proposes a new feature-goodness criterion named class-wise information gain (CIG). The CIG is able to measure the goodness of a feature for recognizing a specific class, and further helps to select the features with the highest information content for a specific class. In order to confirm the effectiveness of the CIG, a CIG-based malware detection method is proposed. Eight groups of experiments on three public malware datasets are carried out to evaluate the performance of the proposed CIG-based malware detection method through cross-validation. Comprehensive experimental results suggest that the CIG is an effective feature-goodness criterion, and the proposed CIG-based malware detection method is effective to detect malware loaders and infected executables. This method outperforms the information gain (IG)-based malware detection method for about 26% in detecting infected executables, without decrease in detecting malware loaders, while its memory requirement is about 60% less than that of the IG-based malware detection method empirically.
Starting Page	972
Ending Page	978
File Size	736286
Page Count	7
File Format	PDF
ISBN	9781467351379
e-ISBN	9781467327640
DOI	10.1109/ICIST.2013.6747700
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Computers Feature extraction Educational institutions Trojan horses Grippers
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	Mr. Siddhartha Mukherjee siddhartha@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	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray 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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