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Fuzzy Rule based Novel Approach to Spam Filtering
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 71 - Number 14 |
| Year of Publication: 2013 |
| Authors: G. Santhi, S. Maria Wenisch, P. Sengutuvan |
10.5120/12427-8995
|
G. Santhi, S. Maria Wenisch, P. Sengutuvan . Fuzzy Rule based Novel Approach to Spam Filtering. International Journal of Computer Applications. 71, 14 ( June 2013), 24-31. DOI=10.5120/12427-8995
Abstract
The spam mails are used by spammer which amounts to be a headache to the internet users and organizations using online. Rapid growth rate of the use of the internet has dramatically increased the spam mails. More methods are adopted for filtering spam. This approach is to identify the spam mails using spam word ranking and fuzzy rules. This work classifies the emails with the help of word ranking database and sender's mail address database. And the ranks are used based on the degree of the threat that each word possess. For this purpose the work has considered the subject and content of the email. In addition this effort includes the sender's mail address feature for the classification of the spam mail.
References
- MD. Rafiqul Islam and Morshed U. Chowdhury, 2005, Spam Filtering Using ML Algorithms, IADIS International Conference on WWW/Internet, 419-426.
- Ni Zhang, Yu Jiang, Binxing Fang, Xueqi Cheng and Li Guo, 2006, Traffic Classification-Based Spam Filter, IEEE International Conference on Communications, Vol. 5, pp. 2130 – 2135.
- Youn, Seongwook, and Dennis McLeod, 2007, A Comparative Study for Email Classification, Editor. Khaled Elleithy, Advances and Innovations in Systems, Computing Sciences and Software Engineering, 387-391.
- Ç?lt?k, Ali, and Tunga Güngör, 2008, Time-Efficient Spam E-mail Filtering Using n-gram Models, Pattern Recognition Letters, 19–33.
- López-Herrera, A. G. , Herrera-Viedma, E. , & Herrera, F. , 2008, A Multiobjective Evolutionary Algorithm for Spam E- Mail Filtering, Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, 366-371.
- Liu Pei-yu, Zhang Li-wei and Zhu Zhen-fang, "Research on Email Filtering Based on Improved Bayesian", Journal of Computers, Vol. 4, No. 3, March 2009, pp. 271-275.
- El-Halees, Alaa, 2009, Filtering Spam E-Mail from Mixed Arabic and English Messages: A Comparison of Machine Learning Techniques, The International Arab Journal of Information Technology, 52-59.
- Göbel, Jan, Thorsten Holz, and Philipp Trinius, 2009, Towards Proactive Spam Filtering, editors. Ulrich legel and Danilo Bruschi, in Detection of Intrusions and Malware and Vulnerability Assessment, 6th international conference, DIMVA, proceedings, 38-47.
- M. Basavaraju and Dr. R. Prabhakar, 2010, A Novel Method of Spam Mail Detection using Text Based Clustering Approach, IJCA,15-25.
- Alireza Nemaney Pour, Raheleh Kholghi and Soheil Behnam Roudsar, 2012, Minimizing the Time of Spam Mail Detection by Relocating Filtering System to the Sender Mail Server, International Journal of Network Security & Its Applications, 53-62.
- Dhananjay Kalbande, Harsh Panchal, Nisha Swaminathan and Preeti Ramaraj, 2012, ANFIS Based Spam Filtering Model for Social Networking Websites, IJCA, 32-36.
- Sudhakar, P. , G. Poonkuzhali, K. Thiagarajan, R. Kripa Keshav, and K. Sarukesi, 2011, Fuzzy Logic for E-mail Spam Deduction, In Proceedings of the 10th WSEAS International Conference on Applied Computer and Applied Computational Science, 83-88.
- Subhodini gupta, Parekh . B. S and Jaimine N. Undavia, 2012, A Fuzzy Approach for Spam Mail Detection Integrated with Wordnet Hypernyms Key term Extraction, IJERT,1-5.
- Dr. Sonia, 2010, Spam Filter: VSM based Intelligent Fuzzy Decision Maker, International Journal of Computer Science and Technology, 48-52.
- M. Muztaba Fuad, Debzani Deb and M. Shahriar Hossain, 2004, A Trainable Fuzzy Spam Detection System, In Proc. of the 7th International Conference on Computer and Information Technology.
- Mehdi Samiei yeganeh, Li Bin and G. Praveen Babu, 2012, A Model for Fuzzy Logic Based Machine Learning Approach for Spam Filtering, IOSR Journal of Computer Engineering , 07-10.
- Begol, Moslem, Maghooli and Keivan, 2011, Improving Digital Image Edge Detection by Fuzzy Systems, World Academy of Science, Engineering and Technology,76- 79.
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