Abstract
E-mails are widely used communication tool with their convenience and efficiency. In spite of their usefulness, they are difficult to control in that e-mails are easily used as outflow path of confidential documents in an organization. In order to detect and prevent the outflow, the e-mail monitoring is widely used. We propose a system that detects in real time the outflow of the documents to be protected. It is based on the automatic text categorization and machine learning technique. The experimental result shows the high accuracy and efficiency of the method.
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© 2003 Springer-Verlag Berlin Heidelberg
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Lee, B., Park, Y. (2003). An E-mail Monitoring System for Detecting Outflow of Confidential Documents. In: Chen, H., Miranda, R., Zeng, D.D., Demchak, C., Schroeder, J., Madhusudan, T. (eds) Intelligence and Security Informatics. ISI 2003. Lecture Notes in Computer Science, vol 2665. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44853-5_32
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DOI: https://doi.org/10.1007/3-540-44853-5_32
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