1. CENZIC, Web Application Security Trends Report, http://www.cenzic.com/downloads/Cenzic_AppSecTrends_Q3-Q4-2010
2. Netcraft, Web server Suvery (March 2012), http://news.netcraft.com/
3. Hou, Y.T., Chang, Y., Chen, T., Laih, C.S., Chen, C.M.: Malicious Web Content Detection by Machine Learning. Expert Systems with Applications 37(1), 55–60 (2010)
4. Ourston, D., Matzner, S., Stump, W., Hopkins, B.: Applications of Hidden Markov Models to Detecting Multi-stage Network Attacks. In: Proceedings of the 36th Annual Hawaii International Conference on System Sciences (2003)
5. Wang, Y.-M., Beck, D., Jiang, X., Roussev, R., Verbowski, C., Chen, S., King, S.: Automated Web Patrol with Strider HoneyMonkeys: Finding Web Sites That Exploit Browser Vulnerabilities. In: 13th Annual Network and Distributed System Security Symposium (2006)