Survey on Spam Filtering Techniques
Open Access
- 1 January 2011
- journal article
- Published by Scientific Research Publishing, Inc. in Communications and Network
- Vol. 03 (03), 153-160
- https://doi.org/10.4236/cn.2011.33019
Abstract
In the recent years spam became as a big problem of Internet and electronic communication. There developed a lot of techniques to fight them. 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 are tested and compared. The statement for new approach in spam filtering technique is consideredKeywords
This publication has 16 references indexed in Scilit:
- Spam Detection Using Feature Selection and Parameters OptimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Statistical Feature Extraction for Classification of Image Spam Using Artificial Neural NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Spam Detection Using Dynamic Weighted Voting Based on ClusteringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Privacy-Aware Collaborative Spam FilteringIEEE Transactions on Parallel and Distributed Systems, 2008
- An incremental cluster-based approach to spam filteringExpert Systems with Applications, 2008
- An HMM for detecting spam mailExpert Systems with Applications, 2007
- MailRankPublished by Association for Computing Machinery (ACM) ,2005
- PageRank as a function of the damping factorPublished by Association for Computing Machinery (ACM) ,2005
- How to avoid unwanted emailCommunications of the ACM, 1998
- ACM president's letter: electronic junkCommunications of the ACM, 1982