Clustering VoIP caller for SPIT identification

Azad, Muhammad Ajmal; Morla, Ricardo; Arshad, Junaid; Salah, Khaled

doi:10.1002/sec.1656

Title: Clustering VoIP caller for SPIT identification

Journal Article · Wed Nov 16 00:00:00 EST 2016 · Security and Communication Networks

DOI:https://doi.org/10.1002/sec.1656· OSTI ID:1400586

Azad, Muhammad Ajmal ^[1]; Morla, Ricardo ^[2]; Arshad, Junaid ^[3]; Salah, Khaled ^[4]

School of Computing Newcastle University Newcastle Upon Tyne U.K.
INESC TEC &, Faculty of Engineering University of Porto Portugal
School of Computing and Engineering University of West London U.K.
Khalifa University of Science, Technology &, Research United Arab Emirates

Abstract The number of unsolicited and advertisement telephony calls over traditional and Internet telephony has rapidly increased over recent few years. Every year, the telecommunication regulators, law enforcement agencies and telecommunication operators receive a very large number of complaints against these unsolicited, unwanted calls. These unwanted calls not only bring financial loss to the users of the telephony but also annoy them with unwanted ringing alerts. Therefore, it is important for the operators to block telephony spammers at the edge of the network so to gain trust of their customers. In this paper, we propose a novel spam detection system by incorporating different social network features for combating unwanted callers at the edge of the network. To this extent the reputation of each caller is computed by processing call detailed records of user using three social network features that are the frequency of the calls between caller and the callee, the duration between caller and the callee and the number of outgoing partners associated with the caller. Once the reputation of the caller is computed, the caller is then places in a spam and non‐spam clusters using unsupervised machine learning. The performance of the proposed approach is evaluated using a synthetic dataset generated by simulating the social behaviour of the spammers and the non‐spammers. The evaluation results reveal that the proposed approach is highly effective in blocking spammer with 2% false positive rate under a large number of spammers. Moreover, the proposed approach does not require any change in the underlying VoIP network architecture, and also does not introduce any additional signalling delay in a call set‐up phase. Copyright © 2016 John Wiley & Sons, Ltd.

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Sponsoring Organization:: USDOE

OSTI ID:: 1400586

Journal Information:: Security and Communication Networks, Journal Name: Security and Communication Networks Vol. 9 Journal Issue: 18; ISSN 1939-0114

Publisher:: Wiley Blackwell (John Wiley & Sons)Copyright Statement

Country of Publication:: Country unknown/Code not available

Language:: English

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Cited by: 7 works

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