4.7 Article

A Survey on Automated Dynamic Malware-Analysis Techniques and Tools

期刊

ACM COMPUTING SURVEYS
卷 44, 期 2, 页码 -

出版社

ASSOC COMPUTING MACHINERY
DOI: 10.1145/2089125.2089126

关键词

Security; Dynamic analysis; malware

资金

  1. European Commission [FP7-ICT-216026-WOMBAT]
  2. FIT-IT
  3. Secure Business Austria
  4. Direct For Computer & Info Scie & Enginr
  5. Division Of Computer and Network Systems [1116777] Funding Source: National Science Foundation

向作者/读者索取更多资源

Anti-virus vendors are confronted with a multitude of potentially malicious samples today. Receiving thousands of new samples every day is not uncommon. The signatures that detect confirmed malicious threats are mainly still created manually, so it is important to discriminate between samples that pose a new unknown threat and those that are mere variants of known malware. This survey article provides an overview of techniques based on dynamic analysis that are used to analyze potentially malicious samples. It also covers analysis programs that employ these techniques to assist human analysts in assessing, in a timely and appropriate manner, whether a given sample deserves closer manual inspection due to its unknown malicious behavior.

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