Universiti Teknologi Malaysia Institutional Repository

Distributed layer-3 e-mail classification for spam control

Marsono, Muhammad N. and El-Kharashi, M. Watheq and Gebali, Fayez and Ganti, Sudhakar (2007) Distributed layer-3 e-mail classification for spam control. In: Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on. IEEE Explore, Ottawa, Ont., pp. 742-745. ISBN 1-4244-0038-4

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Official URL: http://dx.doi.org/10.1109/CCECE.2006.277810


This paper proposes a distributed layer-3 e-mail classification for spam control. E-mail packets are inferred in transit and tagged with an intra-packet spam score to indicate whether the packet forms a legitimate or spam e-mail. During e-mail packet reassembly, tags for an e-mail are aggregated to give an inter-packet spam score. The naive Bayes inference technique is used to evaluate the performance of the proposed approach compared to the full e-mail classification approach. Our simulation results show that the proposed approach exhibits a comparable spam precision (and confidence) to the full e-mail classification approach. Spam recall increases from 63% to 85% depending to the maximum transmission unit size, approaching the 87% of the full e-mail classification. For 67% spam-to-legitimate ratio, we obtain reduction of end servers's workload by 42% to 57% (across all maximum transmission unit sizes tested) of the total e-mail traffic. Thus, the proposed approach can complement existing anti-spam systems by pre-processing e-mail packets on upstream nodes. Layer-3 e-mail processing requires reduced processing complexity as compared to layer-7 processing and is viable for high throughput hardware-based implementations.

Item Type:Book Section
Uncontrolled Keywords:layer-3 e-mail processing, Bayes technique, prioritized e-mail processing, spam control
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:17110
Deposited By: Zalinda Shuratman
Deposited On:30 Nov 2011 03:58
Last Modified:05 Feb 2017 03:12

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