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Detection and Labeling of Personal Identifiable Information in E-mails

Domaine:

digital infrastructure

Type de record:

paper
Créateur:
BiePri
Éditeur:
FraNorFréSus
Éditeur:
CCSDSpringer
Hôte:avatar
Part 8: Identifiability and Decision Making International audience 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.

Visit

inria.hal.science

Tags

[INFO]Computer Science [cs]

Licenses

http://creativecommons.org/licenses/by/info:eu-repo/semantics/OpenAccess

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