Detection and Labeling of Personal Identifiable Information in E-mails

Abstract : The protection of personal identifiable information (PII) is increasingly demanded by customers and data protection regulation. To safeguard PII a organization has to find out which incoming communication actually contains it. Only then PII can be labeled, tracked, and protected. E-mails are one of the main means of communication. They consist of unstructured data difficult to classify. We developed an automated detection system for PII in e-mails and connected it to a usage control infrastructure. Our concept is based on previous findings in the area of spam detection. We tested our approach with a data set in a customer service scenario. The evaluation shows that the utilization of Bayes-classification is very promising to detect PII.
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Nora Cuppens-Boulahia; Frédéric Cuppens; Sushil Jajodia; Anas Abou El Kalam; Thierry Sans. 29th IFIP International Information Security Conference (SEC), Jun 2014, Marrakech, Morocco. Springer, IFIP Advances in Information and Communication Technology, AICT-428, pp.351-358, 2014, ICT Systems Security and Privacy Protection. 〈10.1007/978-3-642-55415-5_29〉
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Christoph Bier, Jonas Prior. Detection and Labeling of Personal Identifiable Information in E-mails. Nora Cuppens-Boulahia; Frédéric Cuppens; Sushil Jajodia; Anas Abou El Kalam; Thierry Sans. 29th IFIP International Information Security Conference (SEC), Jun 2014, Marrakech, Morocco. Springer, IFIP Advances in Information and Communication Technology, AICT-428, pp.351-358, 2014, ICT Systems Security and Privacy Protection. 〈10.1007/978-3-642-55415-5_29〉. 〈hal-01370383〉

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