클라이언트 허니팟
Papers

M. Egele, P. Wurzinger, C. Kruegel, and E. Kirda, Defending Browsers against Drive-by Downloads: Mitigating Heap-spraying Code Injection Attacks, Secure Systems Lab, 2009, p. Available from iseclab.org, accessed May 15, 2009.
Feinstein, Ben. Caffeine Monkey: Automated Collection, Detection and Analysis of JavaScript. BlackHat USA. Las Vegas, 2007.
Ikinci, A, Holz, T., Freiling, F.C. : Monkey-Spider: Detecting Malicious Websites with Low-Interaction Honeyclients.  Sicherheit 2008: 407-421 보관됨 2013-01-02 - 웨이백 머신,
Moshchuk, A., Bragin, T., Gribble, S.D. and Levy, H.M. A Crawler-based Study of Spyware on the Web. In 13th Annual Network and Distributed System Security Symposium (NDSS). San Diego, 2006. The Internet Society.
Provos, N., Holz, T. Virtual Honeypots: From Botnet Tracking to Intrusion Detection. Addison-Wesley. Boston, 2007.
Provos, N., Mavrommatis, P., Abu Rajab, M., Monrose, F. All Your iFRAMEs Point to Us. Google Technical Report. Google, Inc., 2008.
Provos, N., McNamee, D., Mavrommatis, P., Wang, K., Modadugu, N. The Ghost In The Browser: Analysis of Web-based Malware. Proceedings of the 2007 HotBots. Cambridge, April 2007. USENIX.
Seifert, C., Endicott-Popovsky, B., Frincke, D., Komisarczuk, P., Muschevici, R. and Welch, I., Justifying the Need for Forensically Ready Protocols: A Case Study of Identifying Malicious Web Servers Using Client Honeypots. in 4th Annual IFIP WG 11.9 International Conference on Digital Forensics, Kyoto, 2008.
Seifert, C. Know Your Enemy: Behind The Scenes Of Malicious Web Servers. The Honeynet Project. 2007.
Seifert, C., Komisarczuk, P. and Welch, I. Application of divide-and-conquer algorithm paradigm to improve the detection speed of high interaction client honeypots. 23rd Annual ACM Symposium on Applied Computing. Ceara, Brazil, 2008.
Seifert, C., Steenson, R., Holz, T., Yuan, B., Davis, M. A. Know Your Enemy: Malicious Web Servers. The Honeynet Project. 2007. (available at honeynet.org)
Seifert, C., Welch, I. and Komisarczuk, P. HoneyC: The Low-Interaction Client Honeypot. Proceedings of the 2007 NZCSRCS. University of Waikato, Hamilton, New Zealand. April 2007.
C. Seifert, V. Delwadia, P. Komisarczuk, D. Stirling, and I. Welch, Measurement Study on Malicious Web Servers in the.nz Domain, in 14th Australasian Conference on Information Security and Privacy (ACISP), Brisbane, 2009.
C. Seifert, P. Komisarczuk, and I. Welch, True Positive Cost Curve: A Cost-Based Evaluation Method for High-Interaction Client Honeypots, in SECURWARE, Athens, 2009.
C. Seifert, P. Komisarczuk, and I. Welch, Identification of Malicious Web Pages with Static Heuristics, in Austalasian Telecommunication Networks and Applications Conference, Adelaide, 2008.
Stuurman, Thijs, Verduin, Alex. Honeyclients - Low interaction detection method. Technical Report. University of Amsterdam. February 2008.
Wang, Y.-M., Beck, D., Jiang, X., Roussev, R., Verbowski, C., Chen, S. and King, S. Automated Web Patrol with Strider HoneyMonkeys: Finding Web Sites That Exploit Browser Vulnerabilities. In 13th Annual Network and Distributed System Security Symposium (NDSS). San Diego, 2006. The Internet Society.
Zhuge, Jianwei, Holz, Thorsten, Guo, Jinpeng, Han, Xinhui, Zou, Wei. Studying Malicious Websites and the Underground Economy on the Chinese Web. Proceedings of the 2008 Workshop on the Economics of Information Security. Hanover, June 2008.