A statistical analysis method for detecting Mass Call Spam in SIP-based VoIP service

In VoIP service network, attack traffic has abnormal characteristics according to the kind of attack. Mass Call Spam (MCS) attack that spammers send via Internet Telephony service to a large number of users has also an abnormal traffic pattern. We propose an analysis scheme for detecting MCS in Session Initiation Protocol (SIP)-based Internet Telephony service. In the proposed scheme, efficient statistical analysis modules are used to detect abnormal traffic pattern by MCS.