The Open UniversitySkip to content

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 Jan 2010, Kolkata, India.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (246kB) | Preview
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


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 or Workshop 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
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
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 35095
Depositing User: Santi Phithakkitnukoon
Date Deposited: 01 Nov 2012 09:27
Last Modified: 02 May 2018 13:46
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU