Abstract: In the context of remote monitoring and unattended inspection in power systems,images have become a crucial medium for recording and transmitting defect information.However,when transmitted over public channels,these images are highly susceptible to malicious tampering and forgery,posing serious threats to system security and fault response efficiency.To address this issue,this paper proposes an image tamper detection and self-recovery method tailored for power communication scenarios.The proposed approach constructs a perfect hashing-based authentication model using a quantum random number generator,ensuring high randomness and unpredictability to enhance resistance against tampering.It further integrates a block-level image matching strategy and a SPIHT encoding algorithm to generate both authentication and recovery data.These data are embedded into the original communication image as fragile watermarks,enabling precise localization and recovery of tampered regions.The embedding key is securely shared via a quantum key distribution protocol,effectively preventing key leakage or manipulation during transmission.Experimental results on standard image datasets demonstrate that the proposed method outperforms existing schemes in terms of tamper detection accuracy,recovery performance,security,embedding capacity,and visual quality,making it well-suited for integrity protection and trusted authentication of power image transmission.

Key words: Tamper detection, Image recovery, Fragile watermarking, Quantum security, Perfect hash