Malware classification based on API calls and behaviour analysis

Author:

Pektaş Abdurrahman1,Acarman Tankut1

Affiliation:

1. Computer Engineering DepartmentGalatasaray UniversityÇırağan Cad. No:3634349OrtakoyIstanbulTurkey

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Networks and Communications,Information Systems,Software

Reference36 articles.

1. Evolution and detection of polymorphic and metamorphic malwares: a survey;Sharma A.;Int. J. Comput. Appl.,2014

2. Symantec.: ‘Internet Security Threat Report’2016

3. Pektas A. Eris M. Acarman T.: ‘Proposal of n‐gram based algorithm for malware classification’.The Fifth Int. Conf. on Emerging Security Information Systems and Technologies 2011 pp.1–6

4. Zhong Y. Yamaki H. Takakura H.: ‘A malware classification method based on similarity of function structure’.IEEE/IPSJ 12th Int. Symp. on Applications and the Internet 2012 pp.256–261

5. Forrest S. Longstaff T.A.: ‘A sense of self for Unix processes’.IEEE Symp. on Security and Privacy 1996 pp.120–128

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