Journal
2021 ACM/IEEE 6TH SYMPOSIUM ON EDGE COMPUTING (SEC 2021)
Volume -, Issue -, Pages 432-437Publisher
IEEE
DOI: 10.1145/3453142.3493511
Keywords
Edge computing; risk mitigation; stochastic game; prospect theory; adaptive security
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This paper addresses the challenge of ensuring the security and privacy of computations in edge computing through an adaptive approach of defense randomization. The results demonstrate that a non-deterministic defense policy yields better security compared to a static defense strategy.
Edge computing supports the deployment of ubiquitous, smart services by providing computing and storage closer to terminal devices. However, ensuring the full security and privacy of computations performed at the edge is challenging due to resource limitation. This paper responds to this challenge and proposes an adaptive approach to defense randomization among the edge data centers via a stochastic game, whose solution corresponds to the optimal security deployment at the network's edge. Moreover, security risk is evaluated subjectively based on Prospect Theory to reflect realistic scenarios where the attacker and the edge system do not similarly perceive the status of the infrastructure. The results show that a non-deterministic defense policy yields better security compared to a static defense strategy.
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