Brief Survey on Attack Detection Methods for Cyber-Physical Systems

Tan, Sen; Guerrero, Josep M.; Xie, Peilin; Han, Renke; Vasquez, Juan C.

doi:10.1109/jsyst.2020.2991258

Cited by 137 publications

(65 citation statements)

References 123 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…� Miscellaneous detection: The attack detection method namely, binary-based, singular value decomposition and Kalman filtering is explored in briefly with centralised and distributed controller [160,161]. � Issues with detection: The window selection in tempospatial plays the critical role in identification of bad data.…”

Section: Fdi Attack Detectionmentioning

confidence: 99%

See 1 more Smart Citation

A combined survey on distribution system state estimation and false data injection in cyber‐physical power distribution networks

Bhattar

Pindoriya

Sharma

2021

IET cyber-phys. syst.

View full text Add to dashboard Cite

The penetration of renewable energy sources (RES) in distribution systems has entailed heavy deployment of monitoring and control infrastructure in the distribution system. This deployment of sensors and communication infrastructure has led to the emergence of a modern grid with a complex cyber-physical network. On one hand, the cyber-physical system can play a pivotal role in coordination and control of distribution systems through distribution system state estimation (DSSE). On the other hand, the risk caused by cyber-attack has emerged as a major challenge for grid operation. The modelling aspects, namely DC loads, plug-in-vehicle and distributed generators (DGs) in DSSE and security aspects in cyber-physical distribution systems, are highlighted herein. This paper is divided into different sections emphasising on the problems and challenges associated with DSSE, cyber-attack focussing primarily on impact of false data injection (FDI) attack and co-simulation platform for investigation of vulnerability of cyber-physical systems. A comparative study among various DSSE and challenges namely, pseudo-measurement, time synchronisation and communication issues are discussed. The potential investigation of FDI and need for a co-simulation platform in distribution systems for risk analysis are also addressed. The opportunities and future research in the field of cyber-physical distribution systems are discussed in depth. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Section: Fdi Attack Detectionmentioning

confidence: 99%

“…The false positive in tempo-spatial detection can be overcome by machine learning algorithm. The realtime FDI detection needs to be robust and address the missing data in detection method [157,158,161]. The practical detection method performance varies with type of attack and the attack may pass undetected.…”

Section: Fdi Attack Detectionmentioning

confidence: 99%

A combined survey on distribution system state estimation and false data injection in cyber‐physical power distribution networks

Bhattar

Pindoriya

Sharma

2021

IET cyber-phys. syst.

View full text Add to dashboard Cite

show abstract

“…If a hacker manipulates the inverter setpoints, the inverter can first examine the new setpoints using the reference model, and then, may refuse to engage them if the projected output falls outside of the safe operating region of the inverter. Based on various types of cyberattacks [49], [50], different and more sophisticated methods can be developed.…”

Section: Communication and Self-security Featurementioning

confidence: 99%

On Grid-Interactive Smart Inverters: Features and Advancements

Mirafzal

Adib

2020

IEEE Access

View full text Add to dashboard Cite

Traditionally, a grid-interactive inverter providing ancillary services is called a smart inverter. However, broader features will be required for the next generation of inverters that can be categorized as self-governing, selfadapting, self-security, and self-healing. For grid-interactive inverters, the self-governing feature can be identified as the capability of inverters to operate in grid-following and grid-forming control modes, where the self-adapting is referred to as more flexibility realized by adaptive controllers for stable dynamics of inverters under various grid conditions. Moreover, for supervisory control and economic dispatch in a grid with high-penetration of inverter-based power generators, a minimum communication might be necessary, but it can place grid-interactive inverters in danger of being hacked when self-security becomes essential to identify malicious setpoints. Furthermore, the self-healing is defined as fault-tolerance and stress reduction under abnormal conditions. It suggests that after realizing these features, an inverter is called a smart inverter. In this paper, the advancements toward achieving these features for grid-interactive inverters are reviewed. INDEX TERMS Smart inverters, self-security, self-adapting, self-governing, self-healing, cyberattacks.

show abstract

“…A brief survey on attack detection for cyber-physical systems has been conducted in [13], including central controller and distributive controller scenarios in general cyber-physical systems. Regarding distributive power system, a model-based physical attack detection strategy for generation control has been proposed in [14], and intrusion detection in distributed frequency control for microgrid was investigated in [15].…”

Section: Introductionmentioning

confidence: 99%

A Novel Attack Identification Mechanism in IoT-Based Converter-Composed DC Grids

Gong¹

2022

Preprint

View full text Add to dashboard Cite

This paper proposes a novel event-triggered attack detection mechanism for converter-based DC microgrid system. Under a distributive network framework, each node collects its neighbours' relative data to regulate its own output for local stabilization. Without power line current data, hardly can an agent directly identify the source of unexpected power flow, especially under an organized attack composed of voltage variations and corresponding deceptive messages. In order to recognize traitors who broadcast wrong data, target at system distortion and even splitting, an efficient attack detection and identification strategy is mandatory. After the attack detector is triggered, each relative agent refuses to trust any received data directly before authentication. Through proposed two-step verification by comparing theoretical estimated signals with received ones, both self sensors and neighbour nodes would be inspected, and the attacker was difficult to hide himself. Through simulation on SIMULINK/PLECS and hardware experiments on dSpace Platform, the effectiveness of proposed detection algorithm has been proved.

show abstract

Brief Survey on Attack Detection Methods for Cyber-Physical Systems

Cited by 137 publications

References 123 publications

A combined survey on distribution system state estimation and false data injection in cyber‐physical power distribution networks

A combined survey on distribution system state estimation and false data injection in cyber‐physical power distribution networks

On Grid-Interactive Smart Inverters: Features and Advancements

A Novel Attack Identification Mechanism in IoT-Based Converter-Composed DC Grids

Contact Info

Product

Resources

About