NDLI: A hybrid approach for spam filtering using local concentration based K-Means clustering

Content Provider	IEEE Xplore Digital Library
Author	Jain, K. Agrawal, S.
Copyright Year	2014
Description	Author affiliation: Dept. of CEA, Nat. Inst. of Tech. Teachers' Training & Res., Bhopal, India (Jain, K.; Agrawal, S.)
Abstract	Electronic mail (email) has become an essential element for Internet users. Many studies indicate that day by day numbers of internet users are increasing. As population increasing on the Internet, volume of email traffic is also growing. This entire volume of email consist 80% of unwanted emails. These unwanted emails are known as spam email and referred as unsolicited bulk email (UBE). These emails are sent in bulk to large number of recipients. This increased volume of spam email results a most common problem i.e. maintaining email inbox. Spam Email is major issue for internet community because it causes wastage of resources and also pollutes our environment. To prevent these adverse effects of spam email, spam filtering is essential task. Various researchers have proposed many techniques and algorithms for spam filtering; which focuses on individual parameters of the malicious content. In current scenario spammers are also become intelligent they attack on weak point of filtering system. In this work we divided entire process of filtering in four stages. At first stage we applied string tokenizer for generating terms from incoming message. These tokens are passed to second stage where we applied Information Gain (IG) as term selection strategy. After this we passed selected terms to third stage of filtering. Third stage consist of Local Concentration based Artificial Immune System for feature selection. Newly constructed feature vectors are passed to K-Means clustering algorithm for classification at fourth stage. In support of our work we conducted several experiments and gave a comparative analysis with various existing methods on different parameters.
Starting Page	194
Ending Page	199
File Size	269620
Page Count	6
File Format	PDF
e-ISBN	9781479942367
DOI	10.1109/CONFLUENCE.2014.6949373
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-25
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filtering Legitimate Unsolicited electronic mail Feature extraction Classification algorithms Internet Information Gain(IG) AIS Spam Immune system K-means Clustering
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in