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  4. Track down identity leaks using threat intelligence
 
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2020
Conference Paper
Title

Track down identity leaks using threat intelligence

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 regarding leaks of identity data. The developed framework is a proof of concept and a foundation for further projects aiming to proactively warn affected users.
Author(s)
Malderle, T.
Knauer, S.
Lang, M.
Wübbeling, M.
Meier, M.
Mainwork
6th International Conference on Information Systems Security and Privacy, ICISSP 2020. Proceedings  
Conference
International Conference on Information Systems Security and Privacy (ICISSP) 2020  
DOI
10.5220/0008963000960106
Language
English
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
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