An Active Security Defense Strategy for Wind Farm Based on Automated Decision

被引:0
|
作者
Lai, Jun [1 ]
Duan, Bin [1 ]
Su, Yongxin [1 ]
Li, Lan [2 ]
Yin, Qiaoxuan [2 ]
机构
[1] Xiangtan Univ, Coll Informat Engn, Xiangtan 411105, Hunan, Peoples R China
[2] Collaborat Innovat Ctr Wind Power Equipment & Ene, Xiangtan, Peoples R China
来源
2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2017年
基金
中国国家自然科学基金;
关键词
Cyber-Physical Systems; Knowledge Automation; SCADA system; Security; Whitelist; SYSTEM;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the development of smart grid, information and energy integrate deeply. For remote monitoring and cluster management, SCADA system of wind farm should be connected to Internet. However, communication security and operation risk put forward a challenge to data network of the wind farm. To address this problem, an active security defense strategy combined whitelist and security situation assessment is proposed. Firstly, the whitelist is designed by analyzing the legitimate packet of Modbus on communication of SCADA servers and PLCs. Then Knowledge Automation is applied to establish the Decision Requirements Diagram (DRD) for wind farm security. The D-S evidence theory is adopted to assess operation situation of wind farm and it together with whitelist offer the security decision for wind turbine. This strategy helps to eliminate the wind farm owners' security concerns of data networking, and improves the integrity of the cyber security defense for wind farm.
引用
收藏
页数:5
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