Mal-Netminer: Malware Classification Approach Based on Social Network Analysis of System Call Graph
Joint Authors
Jang, Jae-wook
Woo, Jiyoung
Mohaisen, Aziz
Yun, Jaesung
Kim, Huy Kang
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-01
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
As the security landscape evolves over time, where thousands of species of malicious codes are seen every day, antivirus vendors strive to detect and classify malware families for efficient and effective responses against malware campaigns.
To enrich this effort and by capitalizing on ideas from the social network analysis domain, we build a tool that can help classify malware families using features driven from the graph structure of their system calls.
To achieve that, we first construct a system call graph that consists of system calls found in the execution of the individual malware families.
To explore distinguishing features of various malware species, we study social network properties as applied to the call graph, including the degree distribution, degree centrality, average distance, clustering coefficient, network density, and component ratio.
We utilize features driven from those properties to build a classifier for malware families.
Our experimental results show that “influence-based” graph metrics such as the degree centrality are effective for classifying malware, whereas the general structural metrics of malware are less effective for classifying malware.
Our experiments demonstrate that the proposed system performs well in detecting and classifying malware families within each malware class with accuracy greater than 96%.
American Psychological Association (APA)
Jang, Jae-wook& Woo, Jiyoung& Mohaisen, Aziz& Yun, Jaesung& Kim, Huy Kang. 2015. Mal-Netminer: Malware Classification Approach Based on Social Network Analysis of System Call Graph. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-20.
https://search.emarefa.net/detail/BIM-1074681
Modern Language Association (MLA)
Jang, Jae-wook…[et al.]. Mal-Netminer: Malware Classification Approach Based on Social Network Analysis of System Call Graph. Mathematical Problems in Engineering No. 2015 (2015), pp.1-20.
https://search.emarefa.net/detail/BIM-1074681
American Medical Association (AMA)
Jang, Jae-wook& Woo, Jiyoung& Mohaisen, Aziz& Yun, Jaesung& Kim, Huy Kang. Mal-Netminer: Malware Classification Approach Based on Social Network Analysis of System Call Graph. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-20.
https://search.emarefa.net/detail/BIM-1074681
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074681