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Warning of Affected Users About an Identity Leak

: Malderle, T.; Wübbeling, M.; Knauer, S.; Meier, M.


Madureira, A.M.:
Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018). Proceedings
Cham: Springer, 2020 (Advances in Intelligent Systems and Computing 942)
ISBN: 978-3-030-17065-3
ISBN: 978-3-030-17064-6
International Conference on Soft Computing and Pattern Recognition (SoCPaR) <10, 2018, Porto>
International Conference on Information Assurance and Security (IAS) <14, 2018, Porto>
Conference Paper
Fraunhofer FKIE ()

Identity theft is a typical consequence of successful cyber-attacks, which usually comprise the stealing of employee and customer data. Criminals heist identity data in order to either (mis)use the data themselves or sell collections of such data to fraudsters. The warning of the victims of identity theft is crucial to avoid or limit damage caused by identity misuse. A number of services that allow identity owners to check the status of used identities already exist. However in order to provide proactive timely warnings to victims the leaked identity data has to be on hand. In this paper we present a system for a proactive warning of victims of identity leaks.