Chi-Yao Tseng
ABSTRACT
Prior studies on collaborative spam filtering with near-duplicate similarity matching scheme mainly represent each email by a succinct abstraction derived from email content text. Since these abstractions of emails cannot fully catch the evolving nature of spams, we propose in this paper a novel email abstraction scheme, which considers email layout structure to represent emails. With the proposed abstraction, we design a near-duplicate matching scheme to efficiently match each incoming email with a huge spam database.
- E. Damiani, S. D. C. di Vimercati1, S. Paraboschi, and P. Samarati. An open digest-based technique for spam detection. In Proc. of IEEE P2P, 2004.Google Scholar
- A. Kolcz, A. Chowdhury, and J. Alspector. The impact of feature selection on signature-driven spam detection. In Proc. CEAS, 2004.Google Scholar
- K. YOSHIDA, F. ADACHI, T. WASHIO, H. MOTODA, T. HOMMA, A. NAKASHIMA, H. FUJIKAWA, and K. YAMAZAKI. Density-based spam detector. In Proc. of ACM SIGKDD, 2004. Google ScholarDigital Library
- F. Zhou, L. Zhuang, B. Y. Zhao, L. Huang, A. D. Joseph, and J. D. Kubiatowicz. Approximate object location and spam filtering on peer-to-peer systems. In Proc. of ACM/IFIP/USENIX Middleware, 2003. Google ScholarDigital Library
Index Terms
- A novel email abstraction scheme for spam detection
Recommendations
A Collaborative Abstraction Based Email Spam Filtering with Fingerprints
AbstractSpam detection in emails tends to be an endless research interest among many researchers and academicians. Even though email communication has become a major role in day to day activities, the increasing volumes of threats towards spam emails has ...
Preventing Spam Email by Delivery Limitation in RMX
IDEAS '15: Proceedings of the 19th International Database Engineering & Applications SymposiumOn the rule-based email exchange system called RMX, similar to general mailing lists, anyone can send emails by sending to an address unique to RMX. However, there is a security problem that we cannot prevent spam emails and accidentally sending email ...
Incremental SVM Model for Spam Detection on Dynamic Email Social Networks
CSE '09: Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04Recently, the huge number of email spams has caused serious problems in essential email communication. Traditional spam filters aim at analyzing email content to characterize the features that are commonly included in spams. However, it is observed that ...
Comments