Title :
Spam filtering: Comparative analysis of filtering techniques
Author :
Paswan, Mithilesh Kumar ; Bala, P. Shanthi ; Aghila, G.
Author_Institution :
Dept. of Comput. Sci., Pondicherry Univ., Pondicherry, India
Abstract :
The spread of various types of malicious activities like unsolicited commercial e-mail (UCE) or unsolicited bulk e-mail (UBE) also called as SPAM has been the most imminent menace to the today´s Internet world. These activities bring financial crisis to companies and annoying to most users because it clutters the users mailboxes and steal their valuable information for its financial gain. Now a day´s these activities are the emerging threats for online users. Moreover many techniques have been used to detect and remove most of these messages automatically. But still now, no single method exists to resolve all of these problems. This paper provides the details about various spam filtering techniques. In addition, it compares several techniques including its advantages, disadvantages, accuracy, etc.
Keywords :
Internet; information filtering; unsolicited e-mail; Internet; financial crisis; malicious activities; spam filtering; unsolicited bulk e-mail; unsolicited commercial e-mail; Biology; Boosting; Feature extraction; Filtering; Filtering algorithms; Home appliances; Servers; Artificial Immune System (AIS); Bag-of-Words (BoW); Information Gain (IG); SPAM; Support Vector Machine (SVM);
Conference_Titel :
Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
Conference_Location :
Nagapattinam, Tamil Nadu
Print_ISBN :
978-1-4673-0213-5