Email mining toolkit supporting law enforcement forensic analyses

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Email mining toolkit supporting law enforcement forensic analyses

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ACM International Conference Proceeding Series; Vol. 89 archive
Proceedings of the 2005 national conference on Digital government research table of contents

Atlanta, Georgia

SESSION: Data quality and data mining table of contents

Pages: 221 - 222

Year of Publication: 2005

Authors

Salvatore J. Stolfo	Columbia University, New York, NY
Shlomo Hershkop	Columbia University, New York, NY

Sponsor

NSF : National Science Foundation

Publisher

Digital Government Society of North America

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Downloads (6 Weeks): 7, Downloads (12 Months): 100, Citation Count: 1

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ABSTRACT

The Email Mining Toolkit (EMT) is a data mining tool that visualizes a very wide range of detailed analyses of email and email flows derived from an archive of email in a variety of formats. EMT may be leveraged in many applications. In this project we focus on providing support to detectives and analysts in law enforcement to develop powerful means of analyzing emails acquired under due process as evidence in various investigations.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	S. J. Stolfo, S. Hershkop, K. Wang, O. Nimeskern, and C.-W. Hu, "A Behavior-based Approach to Securing Email Systems," Mathematical Methods, Models and Architectures for Computer Networks Security, 2003.
	2	S. J. Stolfo, S. Hershkop, K. Wang, O. Nimeskern, and C.-W. Hu, "Behavior Profiling of Email," presented at 1st NSF/NIJ Symposium on Intelligence & Security Informatics(ISI 2003),-Tucson, Arizona, 2003.
	3	S. Hershkop and S. J. Stolfo, "Identifying Spam without Peeking at the Contents," ACM Crossroads, 2004.
	4	S. Hershkop and S. J. Stolfo, "Combining Email Models for False Positive Reduction," March 2005 2005.
	5	S. Stolfo, W.-j. Li, S. Hershkop, K. Wang, C.-w. Hu, and O. Nimeskern, "Detecting Viral Propagations Using Email Behavior Profiles," TOIT, 2003.