Title :
Hybrid Spam E-mail Filtering
Author :
Bhuleskar, Ronald ; Sherlekar, Anoop ; Pandit, Anala
Author_Institution :
VJTI, Mumbai, India
Abstract :
Due to the growing penetration of Internet enabled electronic mail (email) services and the greater dependency of organizations and individuals on these services, the problem of spam electronic mails, (commonly known as spam) arises. Existing technologies and algorithms focus on individual parameters of the malicious content. However, efficiency of the filtering techniques gets significantly reduced when special forging techniques are used and the shortcomings of individual algorithms are exploited. This paper focuses on an approach which tries to combine the advantages of the various filtering techniques and proposes a hybrid filter. The hybrid technique can be implemented using various models, considering available resources with the server. After the review of earlier publications on this topic available and a comparative study of their advantages and disadvantages a hybrid filter that is simpler to implement and efficient has been proposed in this work.
Keywords :
e-mail filters; unsolicited e-mail; Internet; hybrid spam email filtering; spam electronic mail; Computational intelligence; Costs; Electronic mail; IP networks; Information filtering; Information filters; Postal services; Software architecture; Statistics; Unsolicited electronic mail; Email; Filter; Filtering; HSF; Hybrid; Parallel model; Self Improvisation; Spam; blacklist; content based filtering; forging; legitimate coefficient; self learning technique; spam coefficient; spam mean; whitelist;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks, 2009. CICSYN '09. First International Conference on
Conference_Location :
Indore
Print_ISBN :
978-0-7695-3743-6
DOI :
10.1109/CICSYN.2009.34