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As the development of autonomous and connected vehicles advances, the complexity of modern vehicles increases, with numerous Electronic Control Units (ECUs) integrated into the system. In an in-vehicle network, these ECUs communicate with…

Machine Learning · Computer Science 2025-06-10 Long Dang , Thushari Hapuarachchi , Kaiqi Xiong , Yi Li

We study the security threats of power system operation brought by a class of data injection attacks upon load forecasting algorithms. In particular, with minimal assumptions on the knowledge and ability of the attacker, we design attack…

Optimization and Control · Mathematics 2019-06-17 Yize Chen , Yushi Tan , Ling Zhang , Baosen Zhang

This paper is concerned with the problem of secure multi-sensors fusion estimation for cyber-physical systems, where sensor measurements may be tampered with by false data injection (FDI) attacks. In this work, it is considered that the…

Systems and Control · Electrical Eng. & Systems 2023-01-02 Bo Chen , Pindi Weng , Daniel W. C. Ho , Li Yu

Connected vehicle (CV) technology enables data exchange between vehicles and transportation infrastructure and therefore has great potentials to improve current traffic signal control systems. However, this connectivity might also bring…

Systems and Control · Electrical Eng. & Systems 2020-10-13 Shihong Ed Huang , Wai Wong , Yiheng Feng , Qi Alfred Chen , Z. Morley Mao , Henry X. Liu

This paper outlines a cyber-physical authentication strategy to protect power system infrastructure against false data injection (FDI) attacks. We demonstrate that it is feasible to use small, low-cost, yet highly attack-resistant security…

Systems and Control · Electrical Eng. & Systems 2020-11-02 Martin Higgins , Keith Mayes , Fei Teng

In this paper, we consider the problem of attack-resilient state estimation, that is to reliably estimate the true system states despite two classes of attacks: (i) attacks on the switching mechanisms and (ii) false data injection attacks…

Optimization and Control · Mathematics 2017-07-25 Sze Zheng Yong , Minghui Zhu , Emilio Frazzoli

The application of Deep Learning-based Schemes (DLSs) for detecting False Data Injection Attacks (FDIAs) in smart grids has attracted significant attention. This paper demonstrates that adversarial attacks, carefully crafted FDIAs, can…

Machine Learning · Computer Science 2025-06-25 Ahmad Mohammad Saber , Aditi Maheshwari , Amr Youssef , Deepa Kundur

Computing systems, including real-time embedded systems, are becoming increasingly connected to allow for more advanced and safer operation. Such embedded systems are resource-constrained, such as lower processing capabilities, as compared…

Cryptography and Security · Computer Science 2022-08-09 Tanmaya Mishra , Thidapat Chantem , Ryan Gerdes

Man-in-The-Middle (MiTM) attacks present numerous threats to a smart grid. In a MiTM attack, an intruder embeds itself within a conversation between two devices to either eavesdrop or impersonate one of the devices, making it appear to be a…

Cryptography and Security · Computer Science 2022-03-14 Patrick Wlazlo , Abhijeet Sahu , Zeyu Mao , Hao Huang , Ana Goulart , Katherine Davis , Saman Zonouz

While inverter-based distributed energy resources (DERs) play a crucial role in integrating renewable energy into the power system, they concurrently diminish the grid's system inertia, elevating the risk of frequency instabilities.…

Machine Learning · Computer Science 2024-09-02 Romesh Prasad , Malik Hassanaly , Xiangyu Zhang , Abhijeet Sahu

Incorporating advanced information and communication technologies into smart grids (SGs) offers substantial operational benefits while increasing vulnerability to cyber threats like false data injection (FDI) attacks. Current SG attack…

Computational Engineering, Finance, and Science · Computer Science 2024-11-08 Nur Imtiazul Haque , Prabin Mali , Mohammad Zakaria Haider , Mohammad Ashiqur Rahman , Sumit Paudyal

The number of installed remote terminal units (RTU) is on the rise, increasing the observability and control of the power system. RTUs enable sending data to and receiving data from a control center in the power system. A distribution grid…

Systems and Control · Electrical Eng. & Systems 2024-05-14 Milad Beikbabaei , Ali Mehrizi-Sani

This paper proposes a cyber-resilient secure control framework for autonomous vehicles (AVs) subject to false data injection (FDI) threats as actuator attacks. The framework integrates data-driven modeling, event-triggered communication,…

Systems and Control · Electrical Eng. & Systems 2025-12-16 Yashar Mousavi , Mahsa Tavasoli , Ibrahim Beklan Kucukdemiral , Umit Cali , Abdolhossein Sarrafzadeh , Ali Karimoddini , Afef Fekih

The reliable operation of power grid is supported by energy management systems (EMS) that provide monitoring and control functionalities. Contingency analysis is a critical application of EMS to evaluate the impacts of outages and prepare…

Systems and Control · Electrical Eng. & Systems 2021-09-21 Xiaorui Liu , Yaodan Hu , Charalambos Konstantinou , Yier Jin

A resilient distributed algorithm is proposed to solve the distributed resource allocation problem of a first-order nonlinear multi-agent system who is subject to false data injection (FDI) attacks. An intelligent attacker injects false…

Optimization and Control · Mathematics 2022-12-07 Xin Cai , Xinyuan Nan , Binpeng Gao

Hardware and software of secured embedded systems are prone to physical attacks. In particular, fault injection attacks revealed vulnerabilities on the data and the control flow allowing an attacker to break cryptographic or secured…

Cryptography and Security · Computer Science 2015-10-07 Lionel Rivière , Zakaria Najm , Pablo Rauzy , Jean-Luc Danger , Julien Bringer , Laurent Sauvage

False data injection attacks (FDIA) are a main category of cyber-attacks threatening the security of power systems. Contrary to the detection of these attacks, less attention has been paid to identifying the attacked units of the grid. To…

Machine Learning · Computer Science 2021-12-28 Osman Boyaci , Mohammad Rasoul Narimani , Katherine Davis , Muhammad Ismail , Thomas J Overbye , Erchin Serpedin

Alleviating range anxiety for electric vehicles (i.e., whether such vehicles can be relied upon to travel long distances in a timely manner) is critical for sustainable transportation. Extremely fast charging (XFC), whereby electric…

Cryptography and Security · Computer Science 2021-01-01 Gokcen Y. Dayanikli , Rees R. Hatch , Ryan M. Gerdes , Hongjie Wang , Regan Zane

False data injection attacks (FDIAs) pose a persistent challenge to AC power system state estimation. In current practice, detection relies primarily on topology-aware residual-based tests that assume malicious measurements can be…

Cryptography and Security · Computer Science 2026-02-12 Chenhan Xiao , Yang Weng

For industrial control systems (ICS), many existing defense solutions focus on detecting attacks only when they make the system behave anomalously. Instead, in this work, we study how to detect attackers who are still in their hiding phase.…

Cryptography and Security · Computer Science 2023-08-01 Suman Sourav , Binbin Chen
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