Characterizing SMS spam in a large cellular network via mining victim spam reports

Ann Skudlark (AT&T Labs, San Ramon, CA)

In this paper a study of SMS messages in a large US based cellular carrier utilizing both customer reported SMS spam and network Call Detail Records (CDRs) is conducted to develop a comprehensive understanding of SMS spam in order to develop strategies and approaches to detect and control SMS spam activity. The analysis provides insights into content classification of spam campaigns as well as spam characteristics based on sending patterns, tenure and geolocation.

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Year of publication:	[2015]
Authors:	Skudlark, Ann
Published in:	[What next for European telecommunications? : 26th European Regional Conference of the International Telecommunications Society : San Lorenzo de El Escorial, Spain, 24th - 27th June 2015]
Publisher:	Madrid : International Telecommunications Society (ITS)
Subject:	Mobilkommunikation \| Mobile communications \| E-Mail \| E-mail \| Datenschutz \| Data protection \| USA \| United States

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Extent:	1 Online-Ressource (circa 24 Seiten) Illustrationen
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Konferenzbeitrag ; Conference paper ; Graue Literatur ; Non-commercial literature
Language:	English
Other identifiers:	hdl:10419/127177 [Handle]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011446486