基于信息物理融合的电网数据完整性攻击检测方法

Power System Data Integrity Attack (DIA) is a typical cyber-physical-based Internet-of-Things attack. It is designed against the safety protection and operation of power system. And the network attack techniques are applied to attack power system. In this project, the DIA are classified into two kinds: limited resource-based and sufficient resource-based, from the perspective of attacker. Two models are established for these attacks, by describing the attack generation as the best attack strategy searching under the constraints of the power system safety scheme and network security mechanism. Two cyber-physic methods are proposed to detect DIAs, by combining the abnormal traffic detection in smart grids with power system state estimation and moving target defense. A semi-physical simulation system is designed to verify the effectiveness of this project..There are two major challenges of DIA detection: the combination of security problems among heterogeneous systems and the heterogeneous data fusion. In this project, the network security and power system safety are combined as the constraints in DIA model; and the traffic data in network are introduced into power system safety model, by represented as the trustworthiness of power data. These novel ideas would lead a new idea for security management in various Internet-oh-Things systems.

电网数据完整性攻击（DIA）是一种基于信息物理融合的物联网攻击方法，其针对电力系统的物理安全防护体系和运行机制设计攻击方案，利用信息网络攻击技术实现攻击目标。本项目从攻击者角度，将DIA分为攻击资源受限和攻击资源完备两类，将DIA策略构建转化为在信息网络和电力系统安全约束下的最佳攻击策略搜索问题，并建立两类DIA模型；从信息物理融合的角度，提出基于异常流量检测的电力系统状态估计方法和电网移动目标防御方法，检测两类DIA；设计智能电网半实物仿真平台，验证研究成果。.针对DIA检测的两个难题：信息物理系统综合安全建模和异构数据关联融合，本项目提出：基于攻击者视图的攻击模型，将信息网络安全（Security）和物理系统安全（Safety）转化为对攻击的共同约束；将信息网络的异常流量检测结果转化为电网数据的可信性参数，与物理系统安全模型联合作用于电网数据分析。研究成果为物联网的安全监控提出新思路。

电网数据完整性攻击（DIA）是一种基于信息物理融合的物联网攻击方法，其针对电力系 统的物理安全防护体系和运行机制设计攻击方案，利用信息网络攻击技术实现攻击目标。本项目从攻击者角度，将DIA策略构建转化为在信息网络和电力系统安全约束下的最佳攻击策略搜索问题，建立了信息物理融合系统综合安全威胁模型；从信息物理融合的角度，提出基于异常流量检测的电力系统状态估计方法和电网移动目标防御方法，实现对DIA的检测；设计智能电网半实物仿真平台，验证项目研究成果。 .本项目发表高水平论文37篇，获得发明专利6项；项目组1人入选长江学者青年学者，1人获得基金委优秀青年基金；成果获得教育部自然科学二等奖，多项国际会议最佳论文奖。