Title :
A statistical analysis method for detecting Mass Call Spam in SIP-based VoIP service
Author :
Heo, Joon ; Kusumoto, Tetsuya ; Chen, Eric Y. ; Itoh, Mitsutaka
Author_Institution :
NTT Inf. Sharing Platform Labs., NTT Corp., Musashino, Japan
Abstract :
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.
Keywords :
Internet telephony; signalling protocols; statistical analysis; telecommunication traffic; Internet telephony service; SIP-based VoIP service; Session Initiation Protocol; abnormal traffic pattern detection; mass call spam attack detection; statistical analysis; Floods; Internet telephony; Network servers; Protocols; Security; Statistical analysis; Streaming media; Telecommunication traffic; Traffic control; Unsolicited electronic mail; Anomaly Traffic; Mass Call Spam (MCS); Statistical Analysis;
Conference_Titel :
Information and Telecommunication Technologies (APSITT), 2010 8th Asia-Pacific Symposium on
Conference_Location :
Kuching
Print_ISBN :
978-1-4244-6413-5
Electronic_ISBN :
978-4-88552-244-4
