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Authors: Timo Malderle 1 ; Sven Knauer 2 ; 1 ; Martin Lang 3 ; Matthias Wbbeling 2 ; 1 and Michael Meier 2 ; 1

Affiliations: 1 University of Bonn, Germany ; 2 Fraunhofer FKIE, Bonn, Germany ; 3 Independent Researcher, Leverkusen, Germany

Keyword(s): Identity Leakage, Treat Intelligence, Automated Leak Detection, Identity Protection.

Abstract: Leakage of identity data is a precursor of identity theft in the Internet. Prevention measures are neither established to counteract identity theft nor is there any effective way to inform affected subjects after identity leakage has been discovered. To build an identity theft early warning system, it is crucial to find evidence of identity leakage that happened in the past. News sites in the Internet regularly report about organizations suffering from data leakage. Those leaked data mostly contains member, customer or employee databases including private information. This paper presents a framework that automatically crawls and classifies news articles with respect to identity data leakage. The framework is designed to monitor an arbitrary set of websites and to extract corresponding articles. The articles found are provided to analysts and security researchers with extracted information about the covered leaks. This lowers the amount of work that is necessary to stay up to date reg arding leaks of identity data. The developed framework is a proof of concept and a foundation for further projects aiming to proactively warn affected users. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Malderle, T.; Knauer, S.; Lang, M.; Wbbeling, M. and Meier, M. (2020). Track Down Identity Leaks using Threat Intelligence. In Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-399-5; ISSN 2184-4356, SciTePress, pages 96-106. DOI: 10.5220/0008963000960106

@conference{icissp20,
author={Timo Malderle. and Sven Knauer. and Martin Lang. and Matthias Wbbeling. and Michael Meier.},
title={Track Down Identity Leaks using Threat Intelligence},
booktitle={Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP},
year={2020},
pages={96-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008963000960106},
isbn={978-989-758-399-5},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP
TI - Track Down Identity Leaks using Threat Intelligence
SN - 978-989-758-399-5
IS - 2184-4356
AU - Malderle, T.
AU - Knauer, S.
AU - Lang, M.
AU - Wbbeling, M.
AU - Meier, M.
PY - 2020
SP - 96
EP - 106
DO - 10.5220/0008963000960106
PB - SciTePress