Behavioural Profiling in Cyber-Social Systems

Jason Perno, Christian W. Probst

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

12 Downloads (Pure)

Abstract

Computer systems have evolved from standalone systems, over networked systems, to cyber-physical systems. In all stages, human operators have been essential for the functioning of the system and for understanding system messages. Recent trends make human actors an even more central part of computer systems, resulting in what we call "cyber-social systems". In cyber-social systems, human actors and their interaction with a system are essential for the state of the system and its functioning. Both the system's operation and the human's operating it are based on an assumption of each other's behaviour. Consequently, an assessment of the state of a system must take the human actors and these interactions into account. However, human behaviour is difficult to model at best. While socio-technical system models promise the inclusion of human actors into a basis for system assessment, they lack the modelling mechanisms for human behaviour. Existing behavioural models, on the other side, mostly aim at explaining actions after an event. In this paper we discuss, how behavioural models can be used to profile actor behaviour either online or in simulations to understand the potential motivation and to test hypotheses.
Original languageEnglish
Title of host publicationHAS 2017: Human Aspects of Information Security, Privacy and Trust
Editors Theo Tryfonas
Number of pages11
Volume10292
PublisherSpringer
Publication date2017
Pages507-517
ISBN (Print)978-3-319-58459-1
ISBN (Electronic)978-3-319-58460-7
DOIs
Publication statusPublished - 2017
Event19th International Conference on Human-Computer Interaction (HCI 2017) - Vancouver, Canada
Duration: 9 Jul 201714 Jul 2017
Conference number: 19
http://2017.hci.international/index.php

Conference

Conference19th International Conference on Human-Computer Interaction (HCI 2017)
Number19
CountryCanada
CityVancouver
Period09/07/201714/07/2017
Internet address
SeriesLecture Notes in Computer Science
ISSN0302-9743

Cite this

Perno, J., & Probst, C. W. (2017). Behavioural Profiling in Cyber-Social Systems. In T. T. (Ed.), HAS 2017: Human Aspects of Information Security, Privacy and Trust (Vol. 10292, pp. 507-517). Springer. Lecture Notes in Computer Science https://doi.org/10.1007/978-3-319-58460-7_35
Perno, Jason ; Probst, Christian W. / Behavioural Profiling in Cyber-Social Systems. HAS 2017: Human Aspects of Information Security, Privacy and Trust . editor / Theo Tryfonas. Vol. 10292 Springer, 2017. pp. 507-517 (Lecture Notes in Computer Science).
@inproceedings{4e0df46f4b5f4204b3138d564c9bc2d1,
title = "Behavioural Profiling in Cyber-Social Systems",
abstract = "Computer systems have evolved from standalone systems, over networked systems, to cyber-physical systems. In all stages, human operators have been essential for the functioning of the system and for understanding system messages. Recent trends make human actors an even more central part of computer systems, resulting in what we call {"}cyber-social systems{"}. In cyber-social systems, human actors and their interaction with a system are essential for the state of the system and its functioning. Both the system's operation and the human's operating it are based on an assumption of each other's behaviour. Consequently, an assessment of the state of a system must take the human actors and these interactions into account. However, human behaviour is difficult to model at best. While socio-technical system models promise the inclusion of human actors into a basis for system assessment, they lack the modelling mechanisms for human behaviour. Existing behavioural models, on the other side, mostly aim at explaining actions after an event. In this paper we discuss, how behavioural models can be used to profile actor behaviour either online or in simulations to understand the potential motivation and to test hypotheses.",
author = "Jason Perno and Probst, {Christian W.}",
year = "2017",
doi = "10.1007/978-3-319-58460-7_35",
language = "English",
isbn = "978-3-319-58459-1",
volume = "10292",
pages = "507--517",
editor = "{ Theo Tryfonas}",
booktitle = "HAS 2017: Human Aspects of Information Security, Privacy and Trust",
publisher = "Springer",

}

Perno, J & Probst, CW 2017, Behavioural Profiling in Cyber-Social Systems. in TT (ed.), HAS 2017: Human Aspects of Information Security, Privacy and Trust . vol. 10292, Springer, Lecture Notes in Computer Science, pp. 507-517, 19th International Conference on Human-Computer Interaction (HCI 2017), Vancouver, Canada, 09/07/2017. https://doi.org/10.1007/978-3-319-58460-7_35

Behavioural Profiling in Cyber-Social Systems. / Perno, Jason; Probst, Christian W.

HAS 2017: Human Aspects of Information Security, Privacy and Trust . ed. / Theo Tryfonas. Vol. 10292 Springer, 2017. p. 507-517 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Behavioural Profiling in Cyber-Social Systems

AU - Perno, Jason

AU - Probst, Christian W.

PY - 2017

Y1 - 2017

N2 - Computer systems have evolved from standalone systems, over networked systems, to cyber-physical systems. In all stages, human operators have been essential for the functioning of the system and for understanding system messages. Recent trends make human actors an even more central part of computer systems, resulting in what we call "cyber-social systems". In cyber-social systems, human actors and their interaction with a system are essential for the state of the system and its functioning. Both the system's operation and the human's operating it are based on an assumption of each other's behaviour. Consequently, an assessment of the state of a system must take the human actors and these interactions into account. However, human behaviour is difficult to model at best. While socio-technical system models promise the inclusion of human actors into a basis for system assessment, they lack the modelling mechanisms for human behaviour. Existing behavioural models, on the other side, mostly aim at explaining actions after an event. In this paper we discuss, how behavioural models can be used to profile actor behaviour either online or in simulations to understand the potential motivation and to test hypotheses.

AB - Computer systems have evolved from standalone systems, over networked systems, to cyber-physical systems. In all stages, human operators have been essential for the functioning of the system and for understanding system messages. Recent trends make human actors an even more central part of computer systems, resulting in what we call "cyber-social systems". In cyber-social systems, human actors and their interaction with a system are essential for the state of the system and its functioning. Both the system's operation and the human's operating it are based on an assumption of each other's behaviour. Consequently, an assessment of the state of a system must take the human actors and these interactions into account. However, human behaviour is difficult to model at best. While socio-technical system models promise the inclusion of human actors into a basis for system assessment, they lack the modelling mechanisms for human behaviour. Existing behavioural models, on the other side, mostly aim at explaining actions after an event. In this paper we discuss, how behavioural models can be used to profile actor behaviour either online or in simulations to understand the potential motivation and to test hypotheses.

U2 - 10.1007/978-3-319-58460-7_35

DO - 10.1007/978-3-319-58460-7_35

M3 - Article in proceedings

SN - 978-3-319-58459-1

VL - 10292

SP - 507

EP - 517

BT - HAS 2017: Human Aspects of Information Security, Privacy and Trust

A2 - , Theo Tryfonas

PB - Springer

ER -

Perno J, Probst CW. Behavioural Profiling in Cyber-Social Systems. In TT, editor, HAS 2017: Human Aspects of Information Security, Privacy and Trust . Vol. 10292. Springer. 2017. p. 507-517. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-58460-7_35