Next Article in Journal
Traffic Inference System Using Correlation Analysis with Various Predicted Big Data
Previous Article in Journal
A Feasibility Study of 2-D Microwave Thorax Imaging Based on the Supervised Descent Method
Previous Article in Special Issue
Supply Chain 4.0: A Survey of Cyber Security Challenges, Solutions and Future Directions

Detecting Nuisance Calls over Internet Telephony Using Caller Reputation

The Irish Software Research Centre (LERO), University of Limerick, V94 T9PX Limerick, Ireland
IRT SystemX, Paris-Saclay, 91127 Palaiseau, France
Department of Computer Science, Shaqra University, Shaqra 15526, Saudi Arabia
Institut Mines-Télécom, Télécom SudParis, 91011 Evry CEDEX, France
Author to whom correspondence should be addressed.
Academic Editor: Nour Moustafa
Electronics 2021, 10(3), 353;
Received: 17 December 2020 / Revised: 13 January 2021 / Accepted: 27 January 2021 / Published: 2 February 2021
(This article belongs to the Special Issue Intelligent Security and Privacy Approaches against Cyber Threats)
Internet telephony permit callers to manage self-asserted profiles without any subscription contract nor identification proof. These cost-free services have attracted many telemarketers and spammers who generate unsolicited nuisance calls. Upon detection, they simply rejoin the network with a new identity to continue their malicious activities. Nuisance calls are highly disruptive when compared to email and social spam. They not only include annoying telemarketing calls but also contain scam and voice phishing which involves security risk for subscribers. Therefore, it remains a major challenge for Internet telephony providers to detect and avoid nuisance calls efficiently. In this paper, we present a new approach that uses caller reputation to detect different kinds of nuisance calls generated in the network. The reputation is computed in a hybrid manner by extracting information from call data records and using recommendations from reliable communicating participants. The behavior of the caller is assessed by extracting call features such as call-rate, call duration, and call density. Long term and short term reputations are computed to quickly detect the changing behavior of callers. Furthermore, our approach involves an efficient mechanism to combat whitewashing attacks performed by malicious callers to continue generating nuisance calls in the network. We conduct simulations to compute the performance of our proposed model. The experiments conclude that the proposed reputation model is an effective method to detect different types of nuisance calls while avoiding false detection of legitimate calls. View Full-Text
Keywords: VoIP; SPIT; voice-spam; nuisance call; reputation; trust VoIP; SPIT; voice-spam; nuisance call; reputation; trust
Show Figures

Figure 1

MDPI and ACS Style

Javed, I.T.; Toumi, K.; Alharbi, F.; Margaria, T.; Crespi, N. Detecting Nuisance Calls over Internet Telephony Using Caller Reputation. Electronics 2021, 10, 353.

AMA Style

Javed IT, Toumi K, Alharbi F, Margaria T, Crespi N. Detecting Nuisance Calls over Internet Telephony Using Caller Reputation. Electronics. 2021; 10(3):353.

Chicago/Turabian Style

Javed, Ibrahim T., Khalifa Toumi, Fares Alharbi, Tiziana Margaria, and Noel Crespi. 2021. "Detecting Nuisance Calls over Internet Telephony Using Caller Reputation" Electronics 10, no. 3: 353.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop