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Volumn , Issue , 2011, Pages 1-6

SMSAssassin: Crowdsourcing driven mobile-based system for SMS spam filtering

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN LEARNING; CONTENT-BASED; CROWDSOURCING; DATA SETS; E-MAIL SPAM; LEARNING APPROACH; MACHINE LEARNING TECHNIQUES; SHORT MESSAGE SERVICES; SPAM FILTERING; SPAM MESSAGES;

EID: 84860750391     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2184489.2184491     Document Type: Conference Paper
Times cited : (87)

References (14)
  • 1
    • 84860749589 scopus 로고    scopus 로고
    • http://trak.in/tags/business/2009/07/07/full-report-sms-vasusage-india/
  • 2
    • 84860739419 scopus 로고    scopus 로고
    • Times Of India. http://timesofindia.indiatimes.com/tech/personaltech/ computing/Junk-SMS-No-end-to-mobile-spammess/articleshow/6247207.cms
  • 3
    • 84860739418 scopus 로고    scopus 로고
    • http://www.livemint.com/2010/07/27000020/Scourge-of-SMS-spam-swamps-mob. html
  • 4
    • 84860749591 scopus 로고    scopus 로고
    • http://www.medianama.com/2010/09/223-sms-spam-increaseindia/
  • 5
    • 84860773822 scopus 로고    scopus 로고
    • http://emergic.org/2010/08/09/ending-sms-spam-part-1/
  • 6
    • 84860739417 scopus 로고    scopus 로고
    • http://ndncregistry.gov.in/ndncregistry/index.jsp
  • 10
  • 11
    • 72449210440 scopus 로고    scopus 로고
    • Improving phishing countermeasures: An analysis of expert interviews
    • Sheng et al. Improving phishing countermeasures: An analysis of expert interviews. APWG eCrime Researchers Summit (2009).
    • (2009) APWG ECrime Researchers Summit
    • Sheng1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.