Track Down Identity Leaks using Threat Intelligence

Timo Malderle, Sven Knauer, Sven Knauer, Martin Lang, Matthias Wbbeling, Matthias Wbbeling, Michael Meier, Michael Meier

2020

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.

Paper Citation

in Harvard Style

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 - Volume 1: ICISSP, ISBN 978-989-758-399-5, pages 96-106. DOI: 10.5220/0008963000960106

in Bibtex Style

@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 - Volume 1: ICISSP,},
year={2020},
pages={96-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008963000960106},
isbn={978-989-758-399-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Track Down Identity Leaks using Threat Intelligence
SN - 978-989-758-399-5
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