Pattern Recognition Techniques for the Classification of Malware Packers-Reference-Cited by-同舟云学术

Pattern Recognition Techniques for the Classification of Malware Packers

Published:2010 Issue: Volume: Page:370-390
ISSN:0302-9743
Container-title:Information Security and Privacy
language:
Short-container-title:

Author:

Sun Li,Versteeg Steven,Boztaş Serdar,Yann Trevor

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-14081-5_23.pdf

Reference42 articles.

1. The WildList Organization International: WildList, http://www.wildlist.org/

2. Brosch, T., Morgenstern, M.: Runtime Packers: The hidden problem? Black Hat USA (2006), http://www.blackhat.com/presentations/bh-usa-06/BH-US-06-Morgenstern.pdf

3. Bustamante, P.: Mal(ware)formation Statistics (2007), http://research.pandasecurity.com/malwareformation-statistics/

4. Morgenstern, M., Marx, A.: Runtime Packer Testing Experiences. In: 2nd International CARO Workshop (2008), www.datasecurity-event.com/uploads/runtimepacker.ppt

5. Ebringer, T., Sun, L., Boztaş, S.: A Fast Randomness Test that Preserves Local Detail. In: Proceedings of 18th Virus Bulletin International Conference, pp. 34–42 (2008)

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey of strategy-driven evasion methods for PE malware: Transformation, concealment, and attack;Computers & Security;2024-02

2. Experimental Toolkit for Manipulating Executable Packing;Lecture Notes in Computer Science;2024

3. Analysis of machine learning approaches to packing detection;Computers & Security;2024-01

4. A survey on run-time packers and mitigation techniques;International Journal of Information Security;2023-11-01

5. Leveraging Hardware Performance Counters for Efficient Classification of Binary Packers;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01