Scam and fraud detection in VoIP Networks: Analysis and countermeasures using user profiling

Theodoros Kapourniotis; Tasos Dagiuklas; C. George Polyzos; Panagiotis Alefragkis

doi:10.1109/FITCE.2011.6133427

Scam and fraud detection in VoIP Networks: Analysis and countermeasures using user profiling

Theodoros Kapourniotis, Tasos Dagiuklas, C. George Polyzos, Panagiotis Alefragkis

Dept. of Telecommunication Systems and Networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

This paper presents a VoIP Fraud Detection Framework by exploiting VoIP and/or network-OSS/BSS vulnerabilities. This can be accomplished by analyzing the behavior of the VoIP user using an ontology model so that different types of fraud scenarios could be identified. Using this ontology, an unsupervised learning algorithm has been implemented that describes the user behavior and/or the correlation among various features by analyzing CDR data. The statistical model that has been used is a Bayesian Network. The performance of the proposed model is optimized (minimizing the percentage of false alarms) by configuring the parameters of the Bayesian Network properly.

Original language	English
Title of host publication	2011 50th FITCE Congress - "ICT
Subtitle of host publication	Bridging an Ever Shifting Digital Divide", FITCE 2011
Publisher	IEEE Computer Society
ISBN (Print)	9781457712098
DOIs	https://doi.org/10.1109/FITCE.2011.6133427
Publication status	Published - 2011
Externally published	Yes
Event	2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011 - Palermo, Italy Duration: 31 Aug 2011 → 3 Sept 2011

Publication series

Name	2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011

Conference

Conference	2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011
Country/Territory	Italy
City	Palermo
Period	31/08/11 → 3/09/11

Keywords

VoIP Fraud Detection
VoIP Security

Access to Document

10.1109/FITCE.2011.6133427

Cite this

Kapourniotis, T., Dagiuklas, T., Polyzos, C. G., & Alefragkis, P. (2011). Scam and fraud detection in VoIP Networks: Analysis and countermeasures using user profiling. In 2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011 Article 6133427 (2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011). IEEE Computer Society. https://doi.org/10.1109/FITCE.2011.6133427

Kapourniotis, Theodoros ; Dagiuklas, Tasos ; Polyzos, C. George et al. / Scam and fraud detection in VoIP Networks : Analysis and countermeasures using user profiling. 2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011. IEEE Computer Society, 2011. (2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011).

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title = "Scam and fraud detection in VoIP Networks: Analysis and countermeasures using user profiling",

abstract = "This paper presents a VoIP Fraud Detection Framework by exploiting VoIP and/or network-OSS/BSS vulnerabilities. This can be accomplished by analyzing the behavior of the VoIP user using an ontology model so that different types of fraud scenarios could be identified. Using this ontology, an unsupervised learning algorithm has been implemented that describes the user behavior and/or the correlation among various features by analyzing CDR data. The statistical model that has been used is a Bayesian Network. The performance of the proposed model is optimized (minimizing the percentage of false alarms) by configuring the parameters of the Bayesian Network properly.",

keywords = "VoIP Fraud Detection, VoIP Security",

author = "Theodoros Kapourniotis and Tasos Dagiuklas and Polyzos, {C. George} and Panagiotis Alefragkis",

year = "2011",

doi = "10.1109/FITCE.2011.6133427",

language = "English",

isbn = "9781457712098",

series = "2011 50th FITCE Congress - {"}ICT: Bridging an Ever Shifting Digital Divide{"}, FITCE 2011",

publisher = "IEEE Computer Society",

booktitle = "2011 50th FITCE Congress - {"}ICT",

address = "United States",

note = "2011 50th FITCE Congress - {"}ICT: Bridging an Ever Shifting Digital Divide{"}, FITCE 2011 ; Conference date: 31-08-2011 Through 03-09-2011",

}

Kapourniotis, T, Dagiuklas, T, Polyzos, CG & Alefragkis, P 2011, Scam and fraud detection in VoIP Networks: Analysis and countermeasures using user profiling. in 2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011., 6133427, 2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011, IEEE Computer Society, 2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011, Palermo, Italy, 31/08/11. https://doi.org/10.1109/FITCE.2011.6133427

Scam and fraud detection in VoIP Networks: Analysis and countermeasures using user profiling. / Kapourniotis, Theodoros; Dagiuklas, Tasos; Polyzos, C. George et al.
2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011. IEEE Computer Society, 2011. 6133427 (2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper presents a VoIP Fraud Detection Framework by exploiting VoIP and/or network-OSS/BSS vulnerabilities. This can be accomplished by analyzing the behavior of the VoIP user using an ontology model so that different types of fraud scenarios could be identified. Using this ontology, an unsupervised learning algorithm has been implemented that describes the user behavior and/or the correlation among various features by analyzing CDR data. The statistical model that has been used is a Bayesian Network. The performance of the proposed model is optimized (minimizing the percentage of false alarms) by configuring the parameters of the Bayesian Network properly.

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Kapourniotis T, Dagiuklas T, Polyzos CG, Alefragkis P. Scam and fraud detection in VoIP Networks: Analysis and countermeasures using user profiling. In 2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011. IEEE Computer Society. 2011. 6133427. (2011 50th FITCE Congress - "ICT: Bridging an Ever Shifting Digital Divide", FITCE 2011). doi: 10.1109/FITCE.2011.6133427

Scam and fraud detection in VoIP Networks: Analysis and countermeasures using user profiling

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Keywords

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