@inproceedings{abed8ca010b745a88d9d674d259e0e9e,
title = "Data-driven model-based detection of malicious insiders via physical access logs",
abstract = "The risk posed by insider threats has usually been approached by analyzing the behavior of users solely in the cyber domain. In this paper, we show the viability of using physical movement logs, collected via a building access control system, together with an understanding of the layout of the building housing the system{\textquoteright}s assets, to detect malicious insider behavior that manifests itself in the physical domain. In particular, we propose a systematic framework that uses contextual knowledge about the system and its users, learned from historical data gathered from a building access control system, to select suitable models for representing movement behavior. We then explore the online usage of the learned models, together with knowledge about the layout of the building being monitored, to detect malicious insider behavior. Finally, we show the effectiveness of the developed framework using real-life data traces of user movement in railway transit stations.",
keywords = "Cyber-physical systems, Insider threat, Intrusion detection, Physical access, Physical movement, User behavior",
author = "Carmen Cheh and Binbin Chen and Temple, {William G.} and Sanders, {William H.}",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 14th International Conference on Quantitative Evaluation of Systems, QEST 2017 ; Conference date: 05-09-2017 Through 07-09-2017",
year = "2017",
doi = "10.1007/978-3-319-66335-7_17",
language = "English (US)",
isbn = "9783319663340",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "275--291",
editor = "Nathalie Bertrand and Luca Bortolussi",
booktitle = "Quantitative Evaluation of Systems - 14th International Conference, QEST 2017, Proceedings",
address = "Germany",
}