Using evolutionary learning classifiers to do mobile spam (SMS) filtering

Genetic and Evolutionary Computation Conference, GECCO'11

Volumn , Issue , 2011, Pages 1795-1801

  Junaid, M Bilal ^a   Farooq, Muddassar ^a  

^a NATIONAL UNIVERSITY OF COMPUTER AND EMERGING SCIENCES   (Pakistan)

Author keywords

Evolutionary classifiers; Network security; Short messaging service; Spam SMS; System exploits

Indexed keywords

BIGRAMS; CELLULAR OPERATORS; DATA SETS; DETECTION RATES; EVOLUTIONARY CLASSIFIERS; EVOLUTIONARY LEARNING; FALSE ALARM RATE; FREQUENCY DISTRIBUTIONS; MARKET COMPETITION; SECURITY AND PRIVACY; SHORT MESSAGING SERVICE; SPAM FILTERING; SPAM SMS; SUPERVISED CLASSIFIERS; SYSTEM EXPLOITS;

COMPETITION; DATA PROCESSING; ERRORS; INTERNET; NETWORK SECURITY; TELECOMMUNICATION EQUIPMENT;

MESSAGE PASSING;

EID: 84860391241     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2001576.2001817     Document Type: Conference Paper

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