Smart Home brings a new people-oriented home life experience. However, the edge devices in this system are facing severe threats\nsuch as data security and equipment safety. To solve the above problems, this paper proposes an intrusion detection scheme based\non repeated game. We first use the K-Nearest Neighbors (KNN) algorithm to classify edge devices and equip the intrusion\ndetection system to cluster heads. Secondly, we use the regret minimization algorithm to determine the mixed strategy Nash\nequilibrium of the one-order game and then take a severe punishment strategy to domesticate malicious attackers. Thirdly, the\nintrusion detection system can detect malicious attackers by reduction of payoff. Finally, the detailed experimental results show\nthat the proposed scheme can reduce the loss of attacked intrusion detection system and then achieve the purpose of defending\nagainst the attacker.
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