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• W2563072007 abstract "This paper is mainly focused on the detection and prevention of the spammers such as telemarketing callers in Voice over Internet Protocol networks. The existing spam over Internet telephony (SPIT) detection mechanisms use call characteristics features such as reputation rate, call rejection rate, and user feedback that might increase the computation overhead and communication overhead. In this paper, a 2-tier model is proposed and implemented for detecting, preventing, and mitigating SPIT callers. The 2-tier model consists of a Markov chain (MC) and an incremental support vector machine (ISVM). The MC, in the first tier, detects the telemarketing callers, whereas the ISVM classifier in the second tier segregates these callers from the legitimate users. Also, the ISVM gradually mitigates the arrival of telemarketing callers at the recipient side. The performance of the proposed MC-ISVM classifier is tested using an experimental test bed, and the results show that the 2-tier model reports a promising blockage probability rate of 0.9 against spammers with a false positive rate of less than 0.01." @default.
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• W2563072007 date "2016-12-20" @default.
• W2563072007 modified "2023-09-23" @default.
• W2563072007 title "Detection and prevention of spam over Internet telephony in Voice over Internet Protocol networks using Markov chain with incremental SVM" @default.
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• W2563072007 doi "https://doi.org/10.1002/dac.3255" @default.
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