Automatic malware mutant detection and group classification based on the n-gram and clustering coefficient

Author:

Lee Taejin,Choi Bomin,Shin Youngsang,Kwak Jin

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference23 articles.

1. Symantec. http://www.symantec.com

2. Mohaisen A, Alrawi O (2013) Unveiling zeus: automated classification of malware samples. In: $$22{{\rm nd}}$$ 22 nd international conference on world wide web companion, pp 829–832

3. Xin H, Tzi-cker C, Shin Kang G (2009) Large-scale malware indexing using function-call graphs. CCS’09, November 9–13

4. Elhadi AAE, Maarof BB (2013) Improving the detection of malware behavior using simplified data dependent api call graph. Int J Secur Appl

5. Dullien T, Rolles R (2004) Graph-based comparison of executable objects. In: IEEE conference on detection of intrusions and malware & vulnerability assessment (DIMVA-2004), pp 161–173

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