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

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4 Author(s)
Joon Heo ; NTT Information Sharing Platform Laboratories, NTT Corporation, 9-11, Midori-Cho 3-Chome, Musashino-Shi, Tokyo, 180-8585 Japan ; Tetsuya Kusumoto ; Eric Y. Chen ; Mitsutaka Itoh

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.

Published in:

Information and Telecommunication Technologies (APSITT), 2010 8th Asia-Pacific Symposium on

Date of Conference:

15-18 June 2010