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Reseach Article

Improved Social Network aided personalized Spam Filtering Approach using RBF Neural Network

Published on June 2018 by Shatabdi M. Bhalerao, Madhuri Dalal
International Conference on Emerging Trends in Computing and Communication
Foundation of Computer Science USA
ICETCC2017 - Number 3
June 2018
Authors: Shatabdi M. Bhalerao, Madhuri Dalal
b6c897de-5fb5-4875-bf6b-a1f35104eb94

Shatabdi M. Bhalerao, Madhuri Dalal . Improved Social Network aided personalized Spam Filtering Approach using RBF Neural Network. International Conference on Emerging Trends in Computing and Communication. ICETCC2017, 3 (June 2018), 23-26.

@article{
author = { Shatabdi M. Bhalerao, Madhuri Dalal },
title = { Improved Social Network aided personalized Spam Filtering Approach using RBF Neural Network },
journal = { International Conference on Emerging Trends in Computing and Communication },
issue_date = { June 2018 },
volume = { ICETCC2017 },
number = { 3 },
month = { June },
year = { 2018 },
issn = 0975-8887,
pages = { 23-26 },
numpages = 4,
url = { /proceedings/icetcc2017/number3/29475-c142/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Emerging Trends in Computing and Communication
%A Shatabdi M. Bhalerao
%A Madhuri Dalal
%T Improved Social Network aided personalized Spam Filtering Approach using RBF Neural Network
%J International Conference on Emerging Trends in Computing and Communication
%@ 0975-8887
%V ICETCC2017
%N 3
%P 23-26
%D 2018
%I International Journal of Computer Applications
Abstract

Currently the spam filtering technology is based on the naive Bayesian model. Because of the extremely complex semantic environment as well as naive Bayesian algorithms are easily deceiving; it is not very good at spam filtering. The recent method presented is SOcial network Aided Personalized and effective spam filter (SOAP) using Bayesian spam filtering technique. SOAP showing better results as compared to existing methods, but still it can be further improved in terms of accuracy, efficiency and complexity. In this paper we are presenting extension to SOAP method termed as ISOAP (Improved SOAP) by using RBF (Radial Basis Function) neural network rather than naïve Bayes method for spam filtering. Unlike previous spam filters that focus on parsing keywords or building blacklists, ISOAP exploits the social relationships among email correspondents and their (dis) interests to detect spam adaptively and automatically.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Spam Filtering Bayesian Spam Filters Social Networks Rbf Spam Filter.