A Bot Detection Method Based on Analysis of API Invocation

Author:

Dong Xiaomei,Zhao Yan,Yu Xiaocong

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Gu, G., Porras, P.: BotHunter: Detecting malware infection through IDS-driven dialog correlation. In: Proceedings of the 16th USENIX Security Symp. (Security), Boston, pp. 167–182 (2007)

2. Binkley, J.: An Algorithm for Anomaly-based Botnet Detection. In: Proceedings of USENIX Steps to Reducing Unwanted Traffic on the Internet Workshop (Srutisruti), California, pp. 43–48 (2006)

3. Clemens, K., Paolo, M.C., Christopher, K.: Effective and efficient malware detection at the end host. In: Proceedings of USENIX Security Symposium, Montreal, Canada, pp. 351–366 (2009)

4. Al-Hammadi, Y., Aickelin, U.: Detecting Botnets through Log Correlation. In: IEEE/IST Workshop on Monitoring, Attack Detection and Mitigation, Toulouse, France, pp. 97–100 (2006)

5. Dong, X., Liu, F., Li, X., Yu, X.: A Novel Bot Detection Algorithm based on API Call Correlation. In: Proceeding of the 7th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2010), Yantai, pp. 1157–1162 (2010)

Cited by 1 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. CBM: Free, Automatic Malware Analysis Framework Using API Call Sequences;Advances in Intelligent Systems and Computing;2013-07-24

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