LSSVM Based Covert Attack Method Research on Pressure Control System of Pressurizer in Nuclear Power Plant

Wang Dongfeng; Li Qixian; Huang Yu; Xu Jing; Wang Biao

doi:10.13832/j.jnpe.2022.01.0133

Volume 43 Issue 1

Feb. 2022

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Wang Dongfeng, Li Qixian, Huang Yu, Xu Jing, Wang Biao. LSSVM Based Covert Attack Method Research on Pressure Control System of Pressurizer in Nuclear Power Plant[J]. Nuclear Power Engineering, 2022, 43(1): 133-140. doi: 10.13832/j.jnpe.2022.01.0133

Citation:

Wang Dongfeng, Li Qixian, Huang Yu, Xu Jing, Wang Biao. LSSVM Based Covert Attack Method Research on Pressure Control System of Pressurizer in Nuclear Power Plant[J]. Nuclear Power Engineering, 2022, 43(1): 133-140. doi: 10.13832/j.jnpe.2022.01.0133

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LSSVM Based Covert Attack Method Research on Pressure Control System of Pressurizer in Nuclear Power Plant

doi: 10.13832/j.jnpe.2022.01.0133

Department of Automation, North China Electric Power University, Baoding, Hebei, 071003, China

Received Date: 2021-01-04
Rev Recd Date: 2021-01-20
Publish Date: 2022-02-01

Abstract

Abstract

Covert attacks pose a serious threat to the safe, stable and efficient operation of the control system of pressurizer in a large nuclear power plant. The key to realize covert attack is to establish a high-precision object estimation model. This paper proposes a covert attack method based on least square support vector machine (LSSVM). The system identification is carried out by LSSVM algorithm, and the high-precision estimation model of the attacked area of the pressurizer is obtained. Then the estimation model is combined with the hidden controller to realize the covert attack of the pressurizer pressure control system in the case of no noise, noise and with nonlinear links. The simulation results show that the attack mode not only causes some damage to the pressure control system of the pressurizer, but also has a high degree of covertness.
- Pressurizer pressure control system,
- Covert attack,
- LSSVM,
- Noise analysis

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References(9)

References

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