NDLI: Mitigating SPIT with Social Strength

Content Provider	IEEE Xplore Digital Library
Author	Azad, M.A. Morla, R.
Copyright Year	2012
Abstract	SPIT (Spam over Internet Telephony) is unsolicited, unwanted phone calls made for advertising products or voice phishing. The real time nature of voice calls makes traditional email anti-spam techniques un-applicable to SPIT detection in a VoIP (Voice over Internet Protocol) network. The VoIP users have social network with colleagues, friends, family members, and other acquaintances. Various social reputation approaches have been proposed but these were mainly based on average call duration or require user feedback to assign reputation score. We believe that the computation of reputation should be two fold; firstly it should not involve user feedback and secondly it considers other network features in addition to call duration. In this paper, we propose a social strength for detecting SPIT callers. We analyze how similarities and social ties among VoIP users effect SPIT detection. The local social strength among users are computed considering more features like out-degree, number of repetitive calls, reciprocity and interaction rate. The global strength of the caller is computed using the Eigen trust algorithm and represents the strength of a caller as whole in a network. The global strength values are then compared with the automated threshold value for finally classifying a caller as legitimate and non-legitimate. A distinct feature of our approach is that it does not involve users for feedback and can be easily deployed in real VoIP network without any change in architecture and SIP protocol stack. We evaluate our social strength approach on different types of random network data and shows that the system detects SPIT callers with false positive rate less then 10% and true positive rate of 99% for all type of underlying random networks.
Starting Page	1393
Ending Page	1398
File Size	233058
Page Count	6
File Format	PDF
ISBN	9781467321723
DOI	10.1109/TrustCom.2012.204
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-25
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Accuracy Social network services Unsolicited electronic mail Feature extraction NGN-VoIP SIP Reputation Internet telephony Trust SPIT
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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