PRIVACY PROTECTION RESEARCH OF INTERNET OF THINGS BASED ON SIGNALING GAMES
Aimed at the IoT with malicious nodes attack,a privacy protection model based on signaling games is proposed.We introduced the parameters such as trust degree and attack severity degree to construct a more complete payment matrix,calculated the benefits of both sides of the game,and analyzed the Bayesian equilibrium in the multi-stage dynamic game according to the Bayesian principle.We solved the optimal detection and attack strategies,and studied the impact of different strategies on the privacy protection of the IoT.Combining simulation experiments,the influence of different factors on optimal privacy protection is verified,and a method to improve the degree of privacy protection of the IoT is proposed.
Signaling gamesInternet of thingsMalicious nodesBayes equilibriumPrivacy protection
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