Analyzing Spatial Structure of IP Addresses for Detecting Malicious Websites

Author:

Chiba Daiki,Tobe Kazuhiro,Mori Tatsuya,Goto Shigeki

Publisher

Information Processing Society of Japan

Subject

General Computer Science

Reference42 articles.

1. [1] Chiba, D., Tobe, K., Mori, T. and Goto, S.: Detecting Malicious Websites by Learning IP Address Features, Proc. IEEE/IPSJ 12th International Symposium on Applications and the Internet (SAINT 2012), pp.29-39 (2012).

2. [2] Rajab, M.A., Ballard, L., Jagpal, N., Mavrommatis, P., Nojiri, D., Provos, N. and Schmidt, L.: Trends in Circumventing Web-Malware Detection, Google Technical Report (2011).

3. [3] Akiyama, M., Iwamura, M., Kawakoya, Y., Aoki, K. and Itoh, M.: Design and Implementation of High Interaction Client Honeypot for Drive-by-Download Attacks, IEICE Trans., Vol.E93.B, No.5, pp.1131-1139 (2010).

4. [4] Vaknin, S.: How to Avoid, Remove Facebook Malware (online), available from <http://howto.cnet.com/8301-11310_39-20070931-285/how-to-avoid-remove-facebook-malware/> (accessed 2011-07-01).

5. [5] Levine, J.: DNS Blacklists and Whitelists, RFC 5782 (2010).

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