University of Hertfordshire

By the same authors

An insider threat prediction model

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

An insider threat prediction model. / Kandias, Miltiadis; Mylonas, Alexios; Virvilis, Nikos; Theoharidou, Marianthi; Gritzalis, Dimitris.

Trust, Privacy and Security in Digital Business - 7th International Conference, TrustBus 2010, Proceedings. 2010. p. 26-37 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6264 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Kandias, M, Mylonas, A, Virvilis, N, Theoharidou, M & Gritzalis, D 2010, An insider threat prediction model. in Trust, Privacy and Security in Digital Business - 7th International Conference, TrustBus 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6264 LNCS, pp. 26-37, 7th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2010, Bilbao, Spain, 30/08/10. https://doi.org/10.1007/978-3-642-15152-1_3

APA

Kandias, M., Mylonas, A., Virvilis, N., Theoharidou, M., & Gritzalis, D. (2010). An insider threat prediction model. In Trust, Privacy and Security in Digital Business - 7th International Conference, TrustBus 2010, Proceedings (pp. 26-37). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6264 LNCS). https://doi.org/10.1007/978-3-642-15152-1_3

Vancouver

Kandias M, Mylonas A, Virvilis N, Theoharidou M, Gritzalis D. An insider threat prediction model. In Trust, Privacy and Security in Digital Business - 7th International Conference, TrustBus 2010, Proceedings. 2010. p. 26-37. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-15152-1_3

Author

Kandias, Miltiadis ; Mylonas, Alexios ; Virvilis, Nikos ; Theoharidou, Marianthi ; Gritzalis, Dimitris. / An insider threat prediction model. Trust, Privacy and Security in Digital Business - 7th International Conference, TrustBus 2010, Proceedings. 2010. pp. 26-37 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Bibtex

@inproceedings{15e38855283d41abb9b4583d8ca94039,
title = "An insider threat prediction model",
abstract = "Information systems face several security threats, some of which originate by insiders. This paper presents a novel, interdisciplinary insider threat prediction model. It combines approaches, techniques, and tools from computer science and psychology. It utilizes real time monitoring, capturing the user's technological trait in an information system and analyzing it for misbehavior. In parallel, the model is using data from psychometric tests, so as to assess for each user the predisposition to malicious acts and the stress level, which is an enabler for the user to overcome his moral inhibitions, under the condition that the collection of such data complies with the legal framework. The model combines the above mentioned information, categorizes users, and identifies those that require additional monitoring, as they can potentially be dangerous for the information system and the organization.",
keywords = "Information Security, Insider Threat, Prediction, Taxonomy",
author = "Miltiadis Kandias and Alexios Mylonas and Nikos Virvilis and Marianthi Theoharidou and Dimitris Gritzalis",
year = "2010",
doi = "10.1007/978-3-642-15152-1_3",
language = "English",
isbn = "3642151515",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "26--37",
booktitle = "Trust, Privacy and Security in Digital Business - 7th International Conference, TrustBus 2010, Proceedings",
note = "7th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2010 ; Conference date: 30-08-2010 Through 31-08-2010",

}

RIS

TY - GEN

T1 - An insider threat prediction model

AU - Kandias, Miltiadis

AU - Mylonas, Alexios

AU - Virvilis, Nikos

AU - Theoharidou, Marianthi

AU - Gritzalis, Dimitris

PY - 2010

Y1 - 2010

N2 - Information systems face several security threats, some of which originate by insiders. This paper presents a novel, interdisciplinary insider threat prediction model. It combines approaches, techniques, and tools from computer science and psychology. It utilizes real time monitoring, capturing the user's technological trait in an information system and analyzing it for misbehavior. In parallel, the model is using data from psychometric tests, so as to assess for each user the predisposition to malicious acts and the stress level, which is an enabler for the user to overcome his moral inhibitions, under the condition that the collection of such data complies with the legal framework. The model combines the above mentioned information, categorizes users, and identifies those that require additional monitoring, as they can potentially be dangerous for the information system and the organization.

AB - Information systems face several security threats, some of which originate by insiders. This paper presents a novel, interdisciplinary insider threat prediction model. It combines approaches, techniques, and tools from computer science and psychology. It utilizes real time monitoring, capturing the user's technological trait in an information system and analyzing it for misbehavior. In parallel, the model is using data from psychometric tests, so as to assess for each user the predisposition to malicious acts and the stress level, which is an enabler for the user to overcome his moral inhibitions, under the condition that the collection of such data complies with the legal framework. The model combines the above mentioned information, categorizes users, and identifies those that require additional monitoring, as they can potentially be dangerous for the information system and the organization.

KW - Information Security

KW - Insider Threat

KW - Prediction

KW - Taxonomy

UR - http://www.scopus.com/inward/record.url?scp=78049354490&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-15152-1_3

DO - 10.1007/978-3-642-15152-1_3

M3 - Conference contribution

AN - SCOPUS:78049354490

SN - 3642151515

SN - 9783642151514

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 26

EP - 37

BT - Trust, Privacy and Security in Digital Business - 7th International Conference, TrustBus 2010, Proceedings

T2 - 7th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2010

Y2 - 30 August 2010 through 31 August 2010

ER -