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Physical-information fuzzy inference based smart power grid attack detection method

A smart grid and fuzzy reasoning technology, applied in electrical components, data exchange networks, digital transmission systems, etc., can solve the problems of difficulty in assessing the severity of threats, high false alarm rate of detection methods, and disregarding the value of physical systems, achieving computing power. The effect of low incremental overhead, high input and output relationships, and flexible input and output relationships

Active Publication Date: 2014-10-29
XI AN JIAOTONG UNIV
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Problems solved by technology

However, information network security technology does not consider the value of the physical system itself, and it is difficult to assess the severity of threats; at the same time, most detection methods have a high false positive rate, and it has always been a difficult problem in the field of network security to find actual attack events from massive abnormal alarms one
[0005] Considering the strong correlation between the physical system and the information system in the smart grid, the effect of attack detection purely from the perspective of the physical system or the information system has obvious limitations.

Method used

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Embodiment Construction

[0035] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0036] Taking the IEEE-14 node standard power system test case as an example to illustrate the simulation experiment setting of the smart grid attack detection method:

[0037] figure 1 It is a system structure diagram of IEEE-14 node standard power system test case. The system includes 14 nodes and 20 branches, among which nodes 1, 2, 3, 6, and 8 are power generation nodes, and nodes 4, 5, 7, 9, 10, 11, 12, 13, and 14 are load nodes, and the nodes are connected by 20 transmission lines. Use the matpower toolbox to simulate the power system of the test system. During the simulation process, the bad data injection attack on the line is realized by modifying the line measurement data in the power system. The injection rate n of the attack is defined as the increase of the active power of the attacked line Or the reduction is n times the average ...

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Abstract

The invention provides a physical-information fuzzy inference based smart power grid attack detection method. According to the method, attack behaviors are judged by a physical-information fuzzy inference method by means of analyzing electricity measurement data and network communication flow of a smart power grid and by the aid of a tight coupling characteristic of a physical system and an information system of the smart power grid, and thereby false alarm rate in detection can be decreased remarkably, and smart power grid attack detection effect is improved.

Description

Technical field: [0001] The invention belongs to the technical field of smart grid attack detection, in particular to a smart grid attack detection method based on physics-information fuzzy reasoning. Background technique: [0002] The smart grid highly integrates advanced sensing and measurement technology, information communication technology, automatic control technology, new energy technology and grid infrastructure to support the two-way flow of energy and data in the grid. The advanced information network has significantly improved the observability, controllability, real-time and self-healing properties of the power network; but at the same time, various vulnerabilities and attack threats in the information network give attackers more ways to infiltrate and invade to the power system. Typical network attack methods, such as denial of service attacks, data eavesdropping, man-in-the-middle attacks, traffic replay attacks, etc., are also effective and more harmful in ph...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26
Inventor 管晓宏刘杨孙鸿刘烃桂宇虹苏曼
Owner XI AN JIAOTONG UNIV
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