Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
Cyber deception is a strategy that defenders can leverage to gain an advantage over cyber attackers. The effects of deception on the attacker however, are not yet well understood. Quantifying the tangible and emotional effects of deception on the attacker’s performance, beliefs, and emotional state are critical to deploying effective, targeted cyber deception. Our work uses data from a human-subjects experiment measuring the impact of cyber and psychological deception on over 100 professional red-teamers. These results demonstrate that an attacker’s cognitive and emotional state can often be inferred from data already observed and collected by cyber defenders world-wide. Future work will leverage this observed data-set to formulate more informed defensive strategies.
Recommended Citation
Gabrys, Ryan; Venkatesh, Anu; Silva, Daniel; Bilinski, Mark; Major, Maxine; Mauger, Justin; Muhleman, Daniel; and Ferguson-Walter, Kimberly, "Emotional State Classification and Related Behaviors Among Cyber Attackers" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 2.
https://aisel.aisnet.org/hicss-56/da/cyber_deception/2
Emotional State Classification and Related Behaviors Among Cyber Attackers
Online
Cyber deception is a strategy that defenders can leverage to gain an advantage over cyber attackers. The effects of deception on the attacker however, are not yet well understood. Quantifying the tangible and emotional effects of deception on the attacker’s performance, beliefs, and emotional state are critical to deploying effective, targeted cyber deception. Our work uses data from a human-subjects experiment measuring the impact of cyber and psychological deception on over 100 professional red-teamers. These results demonstrate that an attacker’s cognitive and emotional state can often be inferred from data already observed and collected by cyber defenders world-wide. Future work will leverage this observed data-set to formulate more informed defensive strategies.
https://aisel.aisnet.org/hicss-56/da/cyber_deception/2