Encrypted Cost Based Load Forecasting With Attack Regression Capacity for CPS Model Based Anomaly Detection in Smart Grid Security

Abstract

Smart Grid is distributed through grid computing programs that focus on the efficient operation of power systems in applications to be used in conjunction with. Involvement in SGS techniques involves threats such as power outages, energy theft, customer privacy behavior, threats to operators' security, etc., therefore, requires serious criticism. Designed to prevent the collapse of potential threats or security issues in existing systems, smart grid systems Analytical security assessment is based on framework-matter. Based on the power overflow phase, the properties of the communication network, and the integration coincidence equation, the Markov decision process (MDP) is used to measure smart grid security. The safety code provided for example appears to be a novel solution to the simultaneous power emergency review and can be defended by taking corrective action to resolve the hole-size sound grid product critical level. The goal of the proposed task is to expand the wide area surveillance system (W AMS) to provide security hole size counterfeit science fiction, and we hope to be able to build a security indicator to suit the W AMS at the top of the case. W AMP AC makes full use of measurement design and models in the cyber-physics system, as well as descriptive case studies based on the detection and mitigation of anomalies in attack and implementation of flexibility algorithms.