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

Konferenzbeitrag

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: 20th Biennial Conference of the International Telecommunications Society (ITS): "The Net and the Internet - Emerging Markets and Policies" , Rio de Janeiro, Brazil, 30th-03rd December, 2014

Classification and Topics

• Classification: Wirtschaft

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Skudlark, Ann
• Event: Veröffentlichung
• (who): International Telecommunications Society (ITS)
• (where): Calgary
• (when): 2014

Further information

• Handle: http://hdl.handle.net/10419/106899
• Last update: 10.03.2025, 11:44 AM CET