Transmission network false data attack defense method based on protection measurement point

Abstract

The invention discloses a modern transmission network false data attack defense method based on a protection measurement point in the field of information security research of a power system. The method provided by the invention comprises the steps that a false data attack vector optimization model is constructed based on a traditional power system state estimation theory; according to the optimization model, a false data attack defense measure based on indexes Vk and Rk is provided; the basic idea is to reduce the number of vulnerable nodes vulnerable to attacks in the power system and to enhance the overall ability to deal with false data attacks; and according to an importance index Ik, the defense measure is realized, namely the target of the optimization indexes Vk and Rk is realized by protecting a high measurement point of the importance index Ik. According to the invention, the important measurement point is protected to effectively improve the attack cost and the attack difficulty of an attacker.

Description

technical field [0001] The invention relates to the field of power system information security, in particular to a method for defending false data attacks in a power transmission network based on protection measurement points. Background technique [0002] Energy Management System (EMS) is one of the important power information communication systems, which mainly includes basic functions such as data acquisition, energy management and network analysis, and plays an important role in the safe and stable operation of the power system. State estimation is one of the core functions of EMS, and it is the basis for EMS to perform related analysis and control functions such as load forecasting, optimal power flow calculation and transient stability analysis. False Data Injection Attacks (FDI) is a kind of network attack that exploits traditional state estimation detection vulnerabilities. The fake data attack is based on the DC power flow model, and it is pointed out that when the...

AI Technical Summary

Problems solved by technology

By designing better detection strategies, such as adaptive CUSUM test algorithm, nuclear norm minimization method (Nuclear Norm Minimization) and low rank matrix factorization method (Low Rank Matrix Factorization), false data can be directly detected from measurement data , does not require additional hardware investment, but needs to redevelop the software, the development risk is high, the cycle is long, and there may be attack methods for new detection strategies

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