Self-adaptive generalized accumulation and GPS spoofing attack detection method
A technology of spoofing attack and detection method, applied in measurement devices, radio wave measurement systems, system integration technology, etc., can solve the problems of normal measurement impact, failure to consider the classification and identification of attack modes, and inability to obtain estimation accuracy.
Active Publication Date: 2021-10-22
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology
[0012] In short, the current research mainly has the following problems. First, the filter used is the traditional Kalman filter, which cannot obtain more accurate estimation accuracy and ensure the accuracy of the estimated state.
2. The detection of slow and persistent GSA is not considered. This kind of attack mode with a small attack range is often more concealed. It is difficult to detect it when the attack range does not exceed the threshold, and it has already caused certain damage to the normal measurement of the system. Impact
3. It does not take into account the classification and identification of GSA attack modes
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[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0062] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.
[0063] It should also be further understood that the term "and...
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The invention relates to a self-adaptive generalized accumulation and GPS spoofing attack detection method. The method comprises the following steps: initializing the system; collecting measurement data zm, t of a PMU by using an adaptive sliding window; carrying out an improved Kalman filtering prediction step; solving a ratio gamma t by using a generalized log-likelihood ratio, and updating an accumulative statistic beta t; carrying out an improved Kalman filtering measurement updating step; if the cumulative statistic betat is equal to 0, judging that the system is not subjected to GPS spoofing attack; and if the cumulative statistic betat is greater than a preset threshold Thr, judging that the system suffers from the GPS spoofing attack. According to the GSA detection method, the most suitable width of the sliding window is automatically adjusted according to different conditions, all PMU measurement data subjected to GPS spoofing attacks can be detected more quickly, accordingly, corresponding damaged data are repaired, the operation time of an algorithm can be effectively shortened, and normal operation of a power system is ensured. Besides, the GSA detection method also provides a method for detecting the GSA attack type, which is more beneficial for the system to make a corresponding attack defense strategy.
Description
technical field [0001] The invention relates to the technical field of grid detection, in particular to a GPS deception attack detection method. Background technique [0002] Wide Area Monitoring System (WAMS) is essential to capture the real-time performance in the power grid, and the most critical real-time data in the system comes from the data acquisition devices in the power grid: supervisory control and data acquisition (SCADA) system and phasor measurement unit ( PMU). Compared with SCADA systems, PMUs are widely used in smart grids due to their precise acquisition frequency and precise synchronization time. As one of the most important data sources in smart grids, PMUs are called "the eyes of the grid". The PMU can measure the voltage and current of each node in the power system, and attach a time stamp to provide accurate timing information. In order to ensure that the PMU can accurately perform synchronous sampling, the PMU usually uses the Global Positioning Syst...
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IPC IPC(8): G01S19/21G06F17/16G06F17/18H03H17/02
CPCG01S19/21G06F17/16G06F17/18H03H17/0257Y04S40/20
Inventor夏卓群邹子威尹波文琴
OwnerCHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY