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Effective Spam Filtering based on Social Network

Author(s):

Bhagyashri Ashok Shetage , Ashokrao Mane Group of Institutions, Vathar-416112; A. B. Rajmane, Ashokrao Mane Group of Institutions, Vathar-416112

Keywords:

Spam Filtering, SOAP

Abstract

Spam is the abuse of electronic messaging systems to indiscriminately send unsolicited bulk messages. It forces users to search legitimate emails in the inbox which is filled with unwanted spam mails. In order to increase detection accuracy spam filter should be attack-resilient, personalized and user-friendly. To achieve the personalized feature proposed system are use which has Social Network Aided Personalized (SOAP) and effective spam filter. Personalized means an accurate spam filtering should be done by considering social parameters of a particular individual. Proposed spam filter will first consider the relationship between correspondents and secondly it will consider different area of interest/disinterest of individual. In this paper the overview of existing e-mail spam filtering methods is given. The classification, evaluation and comparison of traditional and learning-based methods are provided. Some personal anti-spam products were tested and compared. The intention of this paper is to prove the ability of proposed system. Social network based spam filter (SOAP) are much better than existing spam filter because of its personalized feature.

Other Details

Paper ID: IJSRDV4I40959
Published in: Volume : 4, Issue : 4
Publication Date: 01/07/2016
Page(s): 1138-1140

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