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Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology

Social, Cultural, and Behavioral Modeling, p.401-407 [Peer Reviewed Journal]

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Title:
Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology
Author: Asadi, Nima ; Rege, Aunshul ; Obradovic, Zoran
Subjects: Group dynamics ; Machine learning ; Network theory
Is Part Of: Social, Cultural, and Behavioral Modeling, p.401-407
Description: Understanding group dynamics can provide valuable insight into how the adversaries progress through cyberattacks and adapt to any disruptions they encounter. However, capturing the characteristics of such dynamics is a difficult task due to complexities in the formation and focus of the adversarial team throughout the attack. In this study, we propose an approach based on concepts and measures of social network theory. The results of experiments performed on observations at the US Industrial Control Systems Computer Emergency Response Team’s (ICS-CERT) Red Team-Blue Team cybersecurity training exercise held at Idaho National Laboratory (INL) show that the team dynamics can be captured and characterized using the proposed approach. Moreover, we provide an analysis of the shifts in such dynamics due to the adversarial team’s adaptation to disruptions caused by the defenders.
Publisher: Cham: Springer International Publishing
Language: English
Identifier: ISSN: 0302-9743
ISBN: 9783319933719
ISBN: 331993371X
EISSN: 1611-3349
EISBN: 9783319933726
EISBN: 3319933728
DOI: 10.1007/978-3-319-93372-6_44

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