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

fYear

2010

fDate

15-18 June 2010

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

Filename

5532053