Abstract: Electricity consumption data involves customer’s privacy, and during the distribution and sharing process, it has the risk of unauthorized outgoing. Digital watermarking is an effective technology to realize leak traceability and hold them accountable. The implantation of watermarks will cause data offset and affect the usability of data analysis and the traceability effect is not good enough when some part of the data is leaked. In view of the above problems, this paper proposes an electricity data traceability algorithm WRTA based on sub-watermark and attribute filtering, which uses information gain rate and Gini coefficient to measure the influence of attributes on maintaining classification availability, and randomly selects non-important attributes through key and primary key to construct sub-watermarks. The algorithm can provide the availability and security of data analysis and realize the traceability of partial data leakage.

Key words: power consumption data, traceability of data leakage, information gain, sub-watermark