Deep learning to detect botnet via network flow summaries
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-018-3595-x.pdf
Reference55 articles.
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3. Alejandre FV, Cortés NC, Anaya EA (2017) Feature selection to detect botnets using machine learning algorithms. In: International conference on electronics, communications and computers (CONIELECOMP). IEEE, pp 1–7
4. Andriesse D, Rossow C, Stone-Gross B, Plohmann D, Bos H (2013) Highly resilient peer-to-peer botnets are here: An analysis of gameover zeus. In: 2013 8th international conference on malicious and unwanted software: “the Americas” (MALWARE). IEEE, pp 116–123
5. Bou-Harb E, Debbabi M, Assi C (2017) Big data behavioral analytics meet graph theory: on effective botnet takedowns. IEEE Netw 31(1):18–26
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