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ANFIS based Spam filtering model for Social Networking Websites
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 44 - Number 11 |
| Year of Publication: 2012 |
| Authors: Dhananjay Kalbande, Harsh Panchal, Nisha Swaminathan, Preeti Ramaraj |
10.5120/6310-8635
|
Dhananjay Kalbande, Harsh Panchal, Nisha Swaminathan, Preeti Ramaraj . ANFIS based Spam filtering model for Social Networking Websites. International Journal of Computer Applications. 44, 11 ( April 2012), 32-36. DOI=10.5120/6310-8635
Abstract
Spam is flooding the Internet with many copies of the same message, in an attempt to force the message on people who would not otherwise choose to receive it. There are various types of spam such as email spam, forum spam, online classified ads spam, attachment spam, social networking spam etc. For the purpose of this paper, we would like to concentrate more on social networking spam (SNS). SNS is when unwanted messages or posts are sent to people in bulk, or when a single click of a seemingly harmless link reposts the link on other profiles, thus spreading the spam like a virus. We plan to use an adaptive neuro fuzzy inference system (ANFIS) that incorporates the advantages of both the neural networking concepts and fuzzy logic to identify the spam messages on such websites.
References
- MessageLabs Intelligence, 2010, Annual Security Report
- Md. Rafiqul Islam, Morshed U. Chowdhury, 2005, Spam Filtering using ML Algorithms, IADIS International Conference on WWW/Internet
- J. S Roger Jang, Chuen-Tsai Sun, Eiji Mizutani, Neuro-Fuzzy and Soft Computing, p336, Ch12, Prentice Hall
- José Vieira, Fernando Morgado Dias, Alexandre Mota, Neuro-Fuzzy Systems
- R. Jang, July 1992, "Neuro-Fuzzy Modeling: Architectures, Analysis and Applications", PhD Thesis, University of California, Berkley.
- Paul Graham's Naive Bayesian Spam Filter algorithm, http://www. paulgraham. com/spam. html
- Jason Kester, A Naïve Bayesian Spam Filter in C#, http://www. codeproject. com/Articles/23472/A-Naive-Bayesian-Spam-Filter-for-C
- Fuzzy Logic Toolbox, User's Guide. http://www. mathworks. com/help/pdf_doc/fuzzy/fuzzy. pdf
- T. M. Nazmy, H. El-Messiry, B. Al-Bokhity, Adaptive Neuro-Fuzzy Inference System For Classification Of ECG Signals, Journal Of Theoretical And Applied Information Technology
- Inan Guler, Elif Derya Ubeyli, 2005, Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients, Journal of Neuroscience methods
- D. Puniškis, R. Laurutis, R. Dirmeikis, 2006, "An Artificial Neural Nets for Spam e-mail Recognition, ISSN 1392 – 1215
- Qin Luo, Bing Liu, Junhua Yan, Zhongyue He, 2010, Research of a Spam Filtering Algorithm Based on Naïve Bayes and AIS , 2010 International Conference on Computational and Information Sciences
- Peter Brevern, N. S. M. El-Tayeb & V. C. Vengkatesh, Sivarao, GUI Based ANFIS Modeling: Back Propagation Optimization Method for CO2 Laser Machining, International Journal of Intelligent Information Technology Application, 2009
- Ismaila Idris, E-mail Spam Classification With Artificial Neural Network and Negative Selection Algorithm, International Journal of Computer Science & Communication Networks, Vol. 1(3), 227-231
- Ashok Kusagur, Dr. S. F. Kodad, Dr. B V. Sankar Ram, September 2010, Modeling, Design & Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Speed Control of Induction Motor, International Journal of Computer Applications (0975 – 8887), Vol. 6– No. 12
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