Big data and artificial intelligence technology, as the unified means and carrier for collecting, storing and computing core data of contemporary power IoT, has diverse and complex characteristics of its data sources and types. And the lack of insecure data access, abnormal response and terminal access rights control leads to the failure of the integrity and credibility of the closed-loop information defense. In particular, wireless sensor networks (WSNs) in power scenarios are more susceptible to malicious attacks. To address the above problems, this paper proposes a power IOT information defense strategy based on improved identity-based dynamic clustering authentication algorithm (IIDC). First, the terminal device sets the private key to solve the key escrow problem of terminal security authentication in the IOT model. At the same time, the improved algorithm dynamically generates pseudo-cryptographic matrix to avoid collusion attack. Finally, a hierarchical privilege management mechanism is adopted to decrypt the terminal authentication once. The proposed algorithm is more suitable for terminal security access and power consumption requirements in WSN-based power IOT scenario, as verified by experimental simulation.

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This paper investigates power allocation in cell-free massive MIMO for URLLC applications, where each access point is powered by smart grid or solar panels/wind-turbines. In particular, the closed-form achievable rate for URRLC is derived. By exploiting the derived results, a non-convex and non-smooth optimization problem is formulated for maximizing the minimum URRLC rate of all multicast group, and is NP-hard. To deal with this problem, the formulated optimization problem is transformed into a tractable version, then the classical CVX tool is adopted to solve the resultant problem. Numerical simulation verifies the practicability of the derived theoretical results and the proposed algorithm.