机译:对电力系统的恶意数据欺骗攻击:一种新的案例及其检测方法
1Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronical Engineering and Automation;
1Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronical Engineering and Automation;
1Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronical Engineering and Automation;
2Department of Electrical &
Computer Engineering Clarkson University;
1Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronical Engineering and Automation;
1Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronical Engineering and Automation;
Smart grid; bad data detection (BDD); malicious data deception attack; optimal power flow; line overload risk; detection strategy;
机译:对电力系统的恶意数据欺骗攻击:一种新的案例及其检测方法
机译:虚假数据注入攻击下电力系统的基于信任的虚假数据检测方法
机译:使用机器学习方法在电力系统中检测假数据注射攻击检测
机译:基于机器学习的电力系统网络攻击检测的数据准备方法
机译:使用多种并发异常检测方法检测JSON结构化数据中的恶意内容。
机译:受欺骗攻击的随机系统的同时事件触发故障检测和估计
机译:使用机器学习方法在电力系统中检测假数据注射攻击检测