Abstract
False data injection (FDI) attack is a hot topic in large-scale Cyber-Physical Systems (CPSs), which can cause bad state estimation of controllers. In this paper, we focus on FDI detection on transmission lines of the smart grid. We propose a novel and effective detection framework to identify FDI attacks. Different from the previous methods, there are multi-tier detectors which utilize edge nodes such as the programmable logic controllers (PLCs) instead of the central controller to detect attacks. The proposed framework can decrease the transmission time of data to reduce the latency of decisions because many sensory data need not be transmitted to the central controller for detection. We also develop a detection algorithm which utilizes classifiers based on machine learning to identify FDI. The training process is split from every edge node and is placed on the central node. The detectors are lightweight and are properly adopted in our detection framework. Our simulation experiments show that the proposed detection framework can provide better detection results than the existing detection approaches.
Highlights
With the tight combination of information technology and physical systems, many vulnerabilities have been exposed
Attackers can utilize the vulnerabilities of wireless network to intrude into the Cyber-Physical Systems (CPSs), causing the vast destruction of physical systems, such as False data injection (FDI) attack [1]
An FDI attack can be launched by directly modifying data of sensors or falsifying sensory data returned to the controllers, causing the wrong state estimation and improper operations
Summary
With the tight combination of information technology and physical systems, many vulnerabilities have been exposed. Attackers can utilize the vulnerabilities of wireless network to intrude into the CPSs, causing the vast destruction of physical systems, such as FDI attack [1]. FDI attack is an extremely hot topic for malicious attackers and defenders because of its easy implementation and great destruction force. An FDI attack can be launched by directly modifying data of sensors or falsifying sensory data returned to the controllers, causing the wrong state estimation and improper operations. Many FDI attack strategies in different realms have been described in previous research such as FDI attacks in smart grid, FDI attacks in railway, and FDI attacks in nuclear power stations. We focus on the detection of FDI attacks on transmission lines of the smart grid
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
