引用本文: | 张颖,沈曦,黎其浩,梁智,魏.基于马尔可夫逻辑树和系统脆性分析的智慧变电站协议延迟攻击检测与恢复模型[J].电力系统保护与控制,2020,48(3):113-121.[点击复制] |
ZHANG Ying,SHEN Xi,LI Qihao,LIANG Zhi,WEI Su.Research on protocol delay attack detection and mitigation model of smart substation based on Markov logic tree and system brittleness analysis[J].Power System Protection and Control,2020,48(3):113-121[点击复制] |
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摘要: |
针对电力物联网建设中精准时间协议(PTP)容易受到攻击影响,以及为克服传统以太网精确度不足的问题,提出基于马尔可夫逻辑树和系统脆性分析搭建了智慧变电站攻击检测与恢复模型。首先分析攻击模型,分为威胁模型、攻击树和延迟攻击模型,判断不同的攻击模型各自对时间同步方案造成的影响。然后基于马尔可夫树和系统的脆性分析对系统出现的偏差进行分类判断,构建了攻击检测和恢复模型。最后通过实验验证了所提方案在理想情况和实际工程模拟角度的有效性。实验结果表明所提研究模型具有更小的计算误差和更加广泛的使用范围,理想模型的检测和恢复指标可以达到97%。对比传统攻击检测和恢复方案,时钟偏移平均减少了14.25%,同步误差平均减少了35.43%。 |
关键词: 智慧变电站 攻击检测 攻击恢复 精准时间协议 马尔可夫逻辑树 系统脆性 |
DOI:10.19783/j.cnki.pspc.191338 |
投稿时间:2019-10-28修订日期:2019-12-03 |
基金项目:国网重庆市电力公司项目资助(2019渝电科技40#);国家重点研发计划项目资助(2017YFB0902800)“基于微型同步相量测量的智能配电网运行关键技术研究” |
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Research on protocol delay attack detection and mitigation model of smart substation based on Markov logic tree and system brittleness analysis |
ZHANG Ying,SHEN Xi,LI Qihao,LIANG Zhi,WEI Su |
(Chongqing Transmission and Transfer Engineering Co., Ltd., Chongqing 400039, China;State Grid Chongqing Electric Power Company Construction Branch, Chongqing 401121, China;Electric Power Research Institute, State Grid Chongqing Electric Power Company, Chongqing 401121, China) |
Abstract: |
Aiming at the problem that Precise Time Protocol (PTP) is vulnerable to be attacked in power internet of things construction, and to overcome the inaccuracy of traditional Ethernet, an attack detection and recovery model of smart substation is built based on Markov logic tree and system brittleness analysis. Firstly, the attack models are analyzed, which are divided into threat model, attack tree and delay attack model, and the impact of different attack models on time synchronization schemes is judged. Then, based on Markov tree and system brittleness analysis, the deviation of the system is classified and judged, and the attack detection and recovery model is constructed. Experiments have verified the effectiveness of the proposed scheme in the ideal situation and the actual engineering simulation angle, and the detection and recovery index of the ideal model can reach to 97%. Compared with traditional attack detection and recovery schemes, the proposed model reduces the computational offset on the protection side by 14.25% and the synchronization error by 35.43%. This work is supported by Project of State Grid Chongqing Electric Power Company and National Key Research and Development Program of China (No. 2017YFB0902800) “Key Techniques Research on Intelligent Distribution Network Operation based on Micro Synchronization Phasor Measurement”. |
Key words: smart substation attack detection attack recovery precise time protocol Markov logic tree system brittleness |