System Component-Level Self-Adaptations for Security via Bayesian Games

Security attacks present unique challenges to self-adaptive system design due to the adversarial nature of the environment. However, modeling the system as a single player, as done in prior works in security domain, is insufficient for the system under partial compromise and for the design of fine-g...

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Published in:2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) pp. 102 - 104
Main Author: Zhang, Mingyue
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2021
Subjects:
Bayes methods
Bayesian game
Computational modeling
Games
Security
Self-adaptation
Software engineering
System analysis and design
Systems architecture
ISBN:1665412194, 9781665412193
Online Access:Get full text
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Abstract Security attacks present unique challenges to self-adaptive system design due to the adversarial nature of the environment. However, modeling the system as a single player, as done in prior works in security domain, is insufficient for the system under partial compromise and for the design of fine-grained defensive strategies where the rest of the system with autonomy can cooperate to mitigate the impact of attacks. To deal with such issues, we propose a new self-adaptive framework incorporating Bayesian game and model the defender (i.e., the system) at the granularity of components in system architecture. The system architecture model is translated into a Bayesian multi-player game, where each component is modeled as an independent player while security attacks are encoded as variant types for the components. The defensive strategy for the system is dynamically computed by solving the pure equilibrium to achieve the best possible system utility, improving the resiliency of the system against security attacks.
AbstractList Security attacks present unique challenges to self-adaptive system design due to the adversarial nature of the environment. However, modeling the system as a single player, as done in prior works in security domain, is insufficient for the system under partial compromise and for the design of fine-grained defensive strategies where the rest of the system with autonomy can cooperate to mitigate the impact of attacks. To deal with such issues, we propose a new self-adaptive framework incorporating Bayesian game and model the defender (i.e., the system) at the granularity of components in system architecture. The system architecture model is translated into a Bayesian multi-player game, where each component is modeled as an independent player while security attacks are encoded as variant types for the components. The defensive strategy for the system is dynamically computed by solving the pure equilibrium to achieve the best possible system utility, improving the resiliency of the system against security attacks.
Author Zhang, Mingyue
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  organization: Peking University, China
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Snippet Security attacks present unique challenges to self-adaptive system design due to the adversarial nature of the environment. However, modeling the system as a...
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StartPage 102
SubjectTerms Bayes methods
Bayesian game
Computational modeling
Games
Security
Self-adaptation
Software engineering
System analysis and design
Systems architecture
Title System Component-Level Self-Adaptations for Security via Bayesian Games
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