NDLI: Spam detection in voice-over-IP calls through semi-supervised clustering

Content Provider	IEEE Xplore Digital Library
Author	Yu-Sung Wu Bagchi, S. Singh, N. Wita, R.
Copyright Year	2009
Description	Author affiliation: Chulalongkorn University, Thailand (Wita, R.) \|\| Avaya Labs, 233 Mt. Airy Rd., Basking Ridge, NJ 07920, USA (Singh, N.) \|\| School of Electrical & Computer Eng., Purdue University, West Lafayette, IN 47907, USA (Yu-Sung Wu; Bagchi, S.)
Abstract	In this paper, we present an approach for detection of spam calls over IP telephony called SPIT in VoIP systems. SPIT detection is different from spam detection in email in that the process has to be soft real-time, fewer features are available for examination due to the difficulty of mining voice traffic at runtime, and similarity in signaling traffic between legitimate and malicious callers. Our approach differs from existing work in its adaptability to new environments without the need for laborious and error-prone manual parameter configuration. We use clustering based on the call parameters, using optional user feedback for some calls, which they mark as SPIT or non-SPIT. We improve on a popular algorithm for semi-supervised learning, called MPCK-Means, to make it scalable to a large number of calls and operate at runtime. Our evaluation on captured call traces shows a fifteen fold reduction in computation time, with improvement in detection accuracy.
Starting Page	307
Ending Page	316
File Size	842466
Page Count	10
File Format	PDF
ISBN	9781424444229
DOI	10.1109/DSN.2009.5270323
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-29
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Unsolicited electronic mail Internet telephony Feedback Protocols Runtime Clustering algorithms Semisupervised learning Signal processing Filtering Machine learning clustering Voice-over-IP systems spam detection spit detection semisupervised learning
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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