Behavioural Profiling in Cyber-Social Systems

被引:4
|
作者
Perno, Jason [1 ]
Probst, Christian W. [2 ]
机构
[1] Utica Coll, Utica, NY 13502 USA
[2] Tech Univ Denmark, Kongens, Denmark
关键词
ATTACK;
D O I
10.1007/978-3-319-58460-7_35
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:507 / 517
页数:11
相关论文
共 50 条
  • [1] Cyber-Social Systems: Modeling, Inference, and Optimal Design
    Doostmohammadian, Mohammadreza
    Rabiee, Hamid R.
    Khan, Usman A.
    IEEE SYSTEMS JOURNAL, 2020, 14 (01): : 73 - 83
  • [2] Artificial intelligence in the long view: from mechanical intelligence to cyber-social systems
    Cope B.
    Kalantzis M.
    Discover Artificial Intelligence, 2022, 2 (01):
  • [3] Moral Cyber-Social Computing for State and University
    Hacimahmud, Abdullayev Vugar
    Mishchenko, Oleksandr
    Hahanov, Vladimir
    Soklakova, Tetiana
    2017 IEEE EAST-WEST DESIGN & TEST SYMPOSIUM (EWDTS), 2017,
  • [4] Too-Big-To-Fail 2.0? Digital Service Providers as Cyber-Social Systems
    Packin, Nizan Geslevich
    INDIANA LAW JOURNAL, 2018, 93 (04) : 1211 - 1262
  • [5] Spread of Information With Confirmation Bias in Cyber-Social Networks
    Mao, Yanbing
    Bolouki, Sadegh
    Akyol, Emrah
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2020, 7 (02): : 688 - 700
  • [6] An improved localization method in cyber-social environments with obstacles
    Gao, Zhigang
    Guo, Hongyi
    Xie, Yunfeng
    Lu, Huijuan
    Zhang, Jianhui
    Diao, Wenjie
    Xu, Ruichao
    COMPUTERS & ELECTRICAL ENGINEERING, 2020, 86
  • [7] Temporal dynamics and impact of event interactions in cyber-social populations
    Zhang, Yi-Qing
    Li, Xiang
    CHAOS, 2013, 23 (01)
  • [8] On Inference of Network Topology and Confirmation Bias in Cyber-Social Networks
    Mao, Yanbing
    Akyol, Emrah
    IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2020, 6 (06): : 633 - 644
  • [9] The influence of the cyber-social environment on fear of victimization: Cyberbullying and school
    Ryan Randa
    Security Journal, 2013, 26 : 331 - 348
  • [10] The influence of the cyber-social environment on fear of victimization: Cyberbullying and school
    Randa, Ryan
    SECURITY JOURNAL, 2013, 26 (04) : 331 - 348