Detecting Broad Length Algorithmically Generated Domains

Author:

Ahluwalia Aashna,Traore Issa,Ganame Karim,Agarwal Nainesh

Publisher

Springer International Publishing

Reference12 articles.

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2. Ma, J., Saul, L.K., Savage, S., Voelker, G.M.: Beyond blacklists: learning to detect malicious web sites from suspicious URLs. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, 28 June–01 July 2009, pp. 1245–1254 (2009)

3. McGrath, D.K., Gupta, M.: Behind phishing: an examination of phisher modi operandi. In: Proceedings of 1st USENIX Workshop on Large-Scale Exploits and Emergent Threats, San Francisco, CA, USA, 15 April 2008 (2008)

4. Mowbray, M., Hagen, J.: Finding domain-generation algorithms by looking at length distributions. In: 2014 IEEE International Symposium Software Reliability Engineering Workshops (ISSREW), Naples, Italy, 3–6 November 2014 (2014)

5. Norvig, P.: Natural language corpus data. In: Beautiful Data, pp. 219–242, June 2009. Chapter 14

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