DLLMiner: structural mining for malware detection-Reference-Cited by-同舟云学术

DLLMiner: structural mining for malware detection

Published:2015-04-22 Issue:18 Volume:8 Page:3311-3322
ISSN:1939-0114
Container-title:Security and Communication Networks
language:en
Short-container-title:Security Comm. Networks

Author:

Narouei Masoud¹,Ahmadi Mansour²,Giacinto Giorgio²,Takabi Hassan¹,Sami Ashkan³

Affiliation:

1. Department of Computer Science and Engineering University of North Texas Denton TX U.S.A.

2. Department of Electrical and Electronic Engineering University of Cagliari Italy

3. CSE and IT Department, School of Electrical and Computer Engineering Shiraz University Shiraz Iran

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sec.1255

Reference48 articles.

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3. Symantec.Internet security threat report.2011. Available from: https://www4.symantec.com/mktginfo/downloads/21182883_GA_REPORT_ISTR_Main‐Report_04‐11_HI‐RES.pdf [Accessed on 2012].

4. IdikaN MathurAP.A survey of malware detection techniques. Department of Computer Science Purdue University 2007. Available from: http://cyberunited.com/wp‐content/uploads/2013/03/A‐Survey‐of‐Malware‐Detection‐Techniques.pdf [Accessed on 2013].

5. A survey on automated dynamic malware‐analysis techniques and tools;Egele M;ACM Computing Surveys,2008

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