FPN-based method for measurement data security risk evaluation

The new power system is characterized by a substantial volume of measurement data and a sophisticated storage and interaction ecosystem. There are major security risks in the process of cross-system data flow. Given the above problems, this paper constructs a safety risk evaluation model and proposes a fuzzy reasoning algorithm based on an improved fuzzy Petri network (FPN) to realize comprehensive risk monitoring on the storage side and circulation link of measurement data. The experimental findings demonstrate that the risk evaluation approach based on FPN gives more accurate and scientific results than the traditional comprehensive risk evaluation method. Therefore, this method is more suitable for practical measurement data security risk evaluation.