Robust zero-watermarking for semi-structured power data tracking

In the process of sharing power data through online channels, there exists a potential risk of data leakage, necessitating effective data traceability of leaked information. This paper proposes a novel method for tracing semi-structured pow-er data based on robust zero-watermarking, which enables traceability even when the leaked data undergoes local modifications. Initially, relevant key-value pairs are extracted from the semi-structured power data to create a feature sequence as the carrier for the zero-watermark. Subsequently, the feature sequence and the watermark body are divided into equal-sized blocks. By integrating erasure codes and redundant error correction codes theory, an intermediate sequence is obtained through a transfer matrix, and then encoded using error correction codes. Finally, the error-corrected watermark information is embedded into the feature sequence, generating a robust zero-watermark for the power data. During the tracing process, the robust zero-watermark of the tracked data is extracted and analyzed to effectively identify and locate data anomalies. Experimental and simulation results demonstrate that the proposed method achieves a watermark extraction success rate of over 98%, while ensuring data security. The presented approach holds significant application value in the monitoring and anomaly tracing of power systems' data.