Title :
Collaborative Reputation-based Voice Spam Filtering
Author :
Zhang, Ruishan ; Gurtov, Andrei
Author_Institution :
Helsinki Inst. for Inf. Technol., Helsinki Univ. of Technol., Helsinki, Finland
fDate :
Aug. 31 2009-Sept. 4 2009
Abstract :
We propose a collaborative reputation-based voice spam filtering framework. Our approach uses the cumulative online duration of a VoIP user to derive his reputation value. And we leverage user feedback to mark unsolicited calls. For each unwanted call, our voice spam filter charges the caller a reputation point, and transfers this reputation point to the callee. To avoid VoIP users to manually label nuisance calls, our voice spam filter automatically marks all VoIP calls with short call durations as unsolicited. The preliminary simulation results show that our approach is effective to counter voice spam.
Keywords :
Internet telephony; filters; groupware; speech processing; unsolicited e-mail; voice mail; VoIP automatic call marking; collaborative reputation-based voice spam filtering; cumulative online duration; nuisance calls; reputation point; unsolicited calls; unwanted calls; Collaborative work; Counting circuits; Databases; Expert systems; Feedback; Information filtering; Information filters; Information technology; International collaboration; Unsolicited electronic mail;
Conference_Titel :
Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
Conference_Location :
Linz
Print_ISBN :
978-0-7695-3763-4
DOI :
10.1109/DEXA.2009.95