Referenced Items are not available for this document.
In many security informatics applications, it is important to monitor traffic over various communication channels and efficiently identify those communications that are unusual for further investigation. This paper studies such anomaly detection problems using a graph-theoretic link prediction approach. Data from the publicly-available Enron email corpus were used to validate the proposed approach.
Published in:
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
(Volume:2
)
Date of Conference: 8-11 Oct. 2006
- Page(s):
- 1131 - 1136
- E-ISBN :
- 1-4244-0100-3
- Print ISBN:
- 1-4244-0099-6
- INSPEC Accession Number:
- 9790795
- Conference Location :
- Taipei
- Digital Object Identifier :
- 10.1109/ICSMC.2006.384552
- Product Type:
- Conference Publications
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