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Industrial wireless sensor clouds (IWSCs) are indispensable in industrial applications and can operate in tough industrial environments by using industrial wireless sensor nodes to perceive and control devices. Because wireless sensor nodes are often deployed in unattended, remote-controlled environments, attackers may impersonate legal nodes to change device parameters. Such unexpected events could lead to disastrous consequences. It is difficult for an intrusion detection system to detect such attacks. Therefore, an authentication scheme becomes one of an effective approaches to ensuring security. However, authentication schemes for industrial wireless sensor clouds have not yet been adequately studied. The current approach is only applicable to an authentication scheme based on the shared secret key of the wireless sensor cloud and cannot be applied to a dynamic multiple-keys authentication scheme. Based on this scheme, this paper studies a game-based dynamic multiple-keys authentication scheme. Based on the probability of interception of the key and the leak probability of devices’s operating authorization, the paper sets up an authentication framework for a dynamic multiple-keys game. It also derives the optimal strategy which game players can use to maximize security utility and analyze the evolution process of the trust in the dynamic multiple-keys game. The experimental results show that this approach can successfully improve the security of IWSC. [ABSTRACT FROM AUTHOR]

Cooperative-relaying networks have great potential for deployment in next-generation wireless communication networks. However, a cooperative-relaying network using two-dimensional multiple-input-multiple-output technology can further enhance the network performance. In this article, we propose a game theoretical framework for mobile two-dimensional multiple-input-multiple-output communication networks to achieve optimal relay selection and cooperative control. A source node, relay, and destination node can make service-selection decisions dynamically in a two-level network, based on the mobile-channel satisfaction parameters (e.g. spatial-temporal correlation and relay survivability). To model this dynamic interactive decision problem, we propose a hierarchical dynamic game framework. At the outer level, we formulate an evolutionary game to model and analyze the process of adaptive selection of relays for maximizing the multiple-input-multiple-output capacity by relay selection and power allocation. At the inner level, by aligning relays, we formulate an evolutionary game to model a self-organizing network structure for relays, to increase the capacity. A closed-loop evolutionary game equilibrium is considered to solve the dynamic game. Numerical results show that the proposed algorithm can effectively improve the quality of service for mobile two-dimensional multiple-input-multiple-output communication networks. [ABSTRACT FROM AUTHOR]