A Detection Method for SIP Spam Instant Messages Based on Social Network
Lin Rong · Journal of Chinese Computer Systems · 2012
According to the behavior features of SIP instant messages,the paper built a user′s social network diagram and proposed a IMNTA(IM network topology arithmetic) algorithm which had two-way communication between users of combined into a class.Using this algorithm,the author created a novel recognition model for SIP SPIM.SIP SPIM was judged by extracting the property characteristics of detected instant messaging,and the recognition model for SIP SPIM was automatic updated.Experimental result shows that this method can quickly and accurately determine the SIP SPIM only in the light of a small amount of information.