Characterizing SMS spam in a large cellular network via mining victim spam reports
نویسندگان
چکیده
In this paper 1 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. 1 This paper is concerned with SMS spam sent from mobile devices via a Subscriber Identification Module (SIM) card to a mobile device, not SMS spam generated from email to a mobile device which is typically captured via filters at email gateways.
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