Title :
Network Threat Behavior Detection and Trend Analysis Based on the Collaborative Model
Author :
Dong Ma ; Yongjun Wang
Author_Institution :
Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
In this paper, we present a network detection method based on collaborative model of network threat attacks, as well as trend analysis of network structure. First of all, the collaborative model is given a specific framework, build process and collaborative mechanisms. Then ripe for pattern matching algorithm and behavioral sequence template for a simple introduction to this approach, and explains how to use the collaborative model structure. Finally, the security situation of the entire network is analyzed by a quantitative situation evaluating model, The experiment results shows that, during its running in an intranet security guard system of a large enterprise, the next-step attack can be predicted by our algorithm, and the security situation of the entire network can be accurately evaluated as well.
Keywords :
computer network security; intranets; pattern matching; behavioral sequence template; build process; collaborative mechanisms; collaborative model structure; intranet security guard system; network structure; network threat attacks; network threat behavior detection method; next-step attack; pattern matching algorithm; security situation; situation evaluating model; trend analysis; Collaboration; Educational institutions; Feature extraction; Indexes; Market research; Pattern matching; Security; behavioral sequence; collaborative model; network; security situation;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.148