SIP-based VoIP anomaly detection engine using DTV and ONR

Abstract

VoIP has gained more attention in recent years due to its advantage of cheap calls when compared to the existing PSTN network. The callers such as the advertiser, telemarketers, prank callers who make use of this VoIP for generating the anomaly calls and messages are characterised as SPIT. The previous work detects the spam caller after getting the feedback from the callee. The proposed technique detects the anomaly in the call pattern without user involvement, i.e., the pre-acceptance method. This SIP-based approach relies on DTV and ONR of the caller to detect the anomaly calls and block the spammer. The parameter call duration, call count with frequency and the unique partner of the caller are used to compute the direct trust value of VoIP user. The ONR depicts the user behaviour in the digital shopping. The online shopping behaviour of the sender insists on the ONR value. The aggregation algorithm uses the DTV and ONR to measure the global reputation of the caller. This calculated global reputation value detects the anomalies and segregate the non-legitimate user during call setup using the session initiation protocol. The proposed system detects the spammer without analysing the content, without getting feedback from the user and before connecting the call.