Xun Fan

Information Sciences Institute & Computer Science Dept.

Viterbi School of Engeneering

University of Southern California

4676 Admiralty Way Suite 1001

Marina del Rey, CA, 90292

(1) 310-448-8323

xunfan@isi.edu

 

Yosemite glacier point
 

Publications:

 
Conference:
 
Xun Fan, John Heidemann, and Ramesh Govindan. Evaluating Anycast in the Domain Name System. To appear in Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), Turin, Italy, Apr. 2013. (pdf)
Mar 25, 2013: We are excited to know that one (L root) of the thirteen root name servers has recently made new deployments that support IN/TXT queries for node identification and published the description of their service here.
 
Xun Fan and John Heidemann. Selecting Representative IP Addresses for Internet Topology Studies. In Proceedings of the ACM Internet Measurement Conference (IMC), p. 411-423. Melbourne, Australia, ACM. November, 2010. (pdf
 
Yinqian Zhang, Xun Fan, Yijun Wang, and Zhi Xue. Attack Grammar: A New Approach to Modeling and Analyzing Network Attack Sequences. In Proceedings of the 24th Annual Computer Security Applications Conference (ACSAC), 2008. (pdf)
 
 
Journal:
 
Xun Fan and Yijun Wang. Client Honeypot Principle and Application Research. Information Security and Communications Privacy, Vol. 3, 2009.
 
Yinqian Zhang, Xun Fan, Yijun Wang, and Zhi Xue. A Comparative Review of Researches on Attack Grammar and Attack Graph. Journal of Liaoning Technical University 27(6):899-902, December 2008
 
 
Technical Report:
 
Xun Fan, John Heidemann, and Ramesh Govindan. Characterizing Anycast in the Domain Name System. Technical Report N. ISI-TR-681, USC/Information Sciences Institute, May, 2012. (pdf)
 
Xun Fan, John Heidemann, and Ramesh Govindan. Identifying and Characterizing Anycast in the Domain Name System. Technical Report N. ISI-TR-671, USC/Information Sciences Institute, May, 2011. (pdf)
 
Xun Fan and John Heidemann. Selecting Representative IP Addresses for Internet Topology Studies. Technical Report N. ISI-TR-666, USC/Information Sciences Institute, June, 2010. (pdf)