DocumentCode :
653889
Title :
New method for evaluating anti-SPIT in VoIP networks
Author :
Amanian, Mina ; Moghaddam, Mohammad Hossein Yaghmaee ; Roshkhari, Hossein Khosravi
Author_Institution :
Dept. of Comput. Eng., Imam Reza Int. Univ. of Mashhad, Mashhad, Iran
fYear :
2013
fDate :
Oct. 31 2013-Nov. 1 2013
Firstpage :
374
Lastpage :
379
Abstract :
Unsolicited bulk email or Spam is a menace to the usability of Internet email. The possibility of cheap Voice over IP (VoIP) services have introduced the threat of Spam over Internet Telephony (SPIT). In order to detect SPIT efficiently we need to extract some features which help us in categorizing the incoming calls. In recent researches various features have been introduced but some of these features have less effect in detecting SPIT. In this paper we propose an approach that assigns weight to features and determines which feature is more important than the others in classification of suspicious incoming calls. Once we select the best features, we can detect SPIT efficiently in less time.
Keywords :
Internet telephony; computer network security; feature extraction; unsolicited e-mail; VoIP networks; antiSPIT evaluation; feature extraction; spam over Internet telephony; suspicious incoming call classification; unsolicited bulk email; Computers; Educational institutions; Feature extraction; Principal component analysis; Protocols; Servers; Unsolicited electronic mail; Callee; Caller; PSTN; SIP; SPIT; VoIP;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2013 3th International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4799-2092-1
Type :
conf
DOI :
10.1109/ICCKE.2013.6682825
Filename :
6682825
Link To Document :
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