computers & security 73 (2018) 1–16 Available online at www.sciencedirect.com ScienceDirect journal homepage: www.elsevier.com/locate/cose Dynamic voice spammers detection using Hidden Markov Model for Voice over Internet Protocol network Ganesan Vennila *, M.S.K. Manikandan, M.N. Suresh Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, Tamilnadu, India AR TICLE INFO ABSTRA CT Article history: Voice over Internet Protocol (VoIP) provides ﬂexible and cost effective services. These ser- Received 15 May 2017 vices are used by voice spammers to generate unsolicited voice calls. Earlier research declared Received in revised form 8 August that the VoIP services are misused for making prank calls, product promotion calls and credit 2017 card services. This results in customer dissatisfaction and the ﬁnancial losses in the bank Accepted 5 October 2017 and telecommunication sectors. Thus, detection of spammers is an essential task to enhance Available online 13 October 2017 the quality of services in VoIP network. Spammers occur in the form of either human spammer or computer spammer and mimic as the legitimate caller. Voice spammer’s states in suc- Keywords: cessive time period are dynamic and dependent, particularly the human voice spammer HMM exhibit high degree of dynamism. This poses challenge for traditional spam
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