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Email shape analysis

Sroufe, Paul; Phithakkitnukoon, Santi; Dantu, Ram and Cangussu, João (2010). Email shape analysis. In: 11th International Conference on Distributed Computing and Networking (ICDCN 2010), 3-6 January 2010, Kolkata, India.

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URL: http://www.springerlink.com/content/8013112w62174x...
DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/978-3-642-11322-2_7
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Abstract

Email has become an integral part of everyday life. Without a second thought we receive bills, bank statements, and sales promotions all to our inbox. Each email has hidden features that can be extracted. In this paper, we present a new mechanism to characterize an email without using content or context called Email Shape Analysis. We explore the applications of the email shape by carrying out a case study; botnet detection and two possible applications: spam filtering, and social-context based finger printing. Our in-depth analysis of botnet detection leads to very high accuracy of tracing templates and spam campaigns. However, when it comes to spam filtering we do not propose new method but rather a complementing method to the already high accuracy Bayesian spam filter. We also look at its ability to classify individual senders in personal email inbox’s.

Item Type: Conference Item
Copyright Holders: 2010 Springer-Verlag
ISSN: 0302-9743
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetNational Science Foundation (NSF)
Extra Information: Distributed Computing and Networking
11th International Conference, ICDCN 2010
Kolkata, India, January 3-6, 2010
Proceedings
Krishna Kant, Sriram V. Pemmaraju, Krishna M. Sivalingam, JieWu (Eds.)
Lecture Notes in Computer Science 5935
ISBN-10 3-642-11321-4
ISBN-13 978-3-642-11321-5
pp.18-29
Academic Unit/Department: Mathematics, Computing and Technology
Item ID: 35095
Depositing User: Santi Phithakkitnukoon
Date Deposited: 01 Nov 2012 09:27
Last Modified: 01 Nov 2012 09:30
URI: http://oro.open.ac.uk/id/eprint/35095
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