What is Snort?
Snort® is an open source network intrusion prevention and detection system utilizing a rule-driven language, which combines the benefits of signature, protocol and anomaly based inspection methods. With millions of downloads to date, Snort is the most widely deployed intrusion detection and prevention technology worldwide and has become the de facto standard for the industry.
Visualization of graph data is incredibly challenging, particularly when it comes to extremely large, scale-free graphs and social networks. A few simple searches on the Web and you will find some mesmerizing and very cool images. Perhaps the most cited...
N. Du, B. Wu, X. Pei, B. Wang, and L. Xu. WebKDD/SNA-KDD '07: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, page 16--25. New York, NY, USA, ACM, (2007)
G. Flake, S. Lawrence, and C. Giles. KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, page 150--160. New York, NY, USA, ACM Press, (2000)
I. Dhillon. KDD '01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, page 269--274. New York, NY, USA, ACM Press, (2001)
P. Symeonidis, A. Nanopoulos, and Y. Manolopoulos. RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems, page 43--50. New York, NY, USA, ACM, (2008)