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Related papers: Detecting False Data Injection Attacks in Smart Gr…

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Attack detection problems in the smart grid are posed as statistical learning problems for different attack scenarios in which the measurements are observed in batch or online settings. In this approach, machine learning algorithms are used…

Machine Learning · Computer Science 2015-03-24 Mete Ozay , Inaki Esnaola , Fatos T. Yarman Vural , Sanjeev R. Kulkarni , H. Vincent Poor

The rise of cyber-security concerns has brought significant attention to the analysis and design of cyber-physical systems (CPSs). Among the various types of cyberattacks, denial-of-service (DoS) attacks and false data injection (FDI)…

Systems and Control · Electrical Eng. & Systems 2024-06-06 Wenjie Liu , Lidong Li , Jian Sun , Fang Deng , Gang Wang , Jie Chen

Despite decades of development, existing IDSs still face challenges in improving detection accuracy, evasion, and detection of unknown attacks. To solve these problems, many researchers have focused on designing and developing IDSs that use…

Cryptography and Security · Computer Science 2025-01-28 Mofe O. Jeje

Software-defined networking (SDN) is a new paradigm that allows developing more flexible network applications. SDN controller, which represents a centralized controlling point, is responsible for running various network applications as well…

Cryptography and Security · Computer Science 2019-05-09 Majd Latah , Levent Toker

The estimation of direction of arrival (DOA) is a crucial issue in conventional radar, wireless communication, and integrated sensing and communication (ISAC) systems. However, low-cost systems often suffer from imperfect factors, such as…

Signal Processing · Electrical Eng. & Systems 2024-03-21 Peng Chen , Zhimin Chen , Liang Liu , Yun Chen , Xianbin Wang

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

The popularity of Software Defined Networks (SDNs) has grown in recent years, mainly because of their ability to simplify network management and improve network flexibility. However, this also makes them vulnerable to various types of cyber…

Machine Learning · Computer Science 2024-09-02 Osama Mustafa , Khizer Ali , Talha Naqash

The Controller Area Network (CAN) bus works as an important protocol in the real-time In-Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of IVN devices has still been insecure and vulnerable due to…

Cryptography and Security · Computer Science 2021-07-13 Sk. Tanzir Mehedi , Adnan Anwar , Ziaur Rahman , Kawsar Ahmed

The prompt and accurate detection of faults and abnormalities in electric transmission lines is a critical challenge in smart grid systems. Existing methods mostly rely on model-based approaches, which may not capture all the aspects of…

Machine Learning · Computer Science 2020-09-16 Peyman Tehrani , Marco Levorato

Fast and accurate detection of cyberattacks is a key element for a cyber-resilient power system. Recently, data-driven detectors and physics-based Moving Target Defences (MTD) have been proposed to detect false data injection (FDI) attacks…

Systems and Control · Electrical Eng. & Systems 2022-12-22 Wangkun Xu , Martin Higgins , Jianhong Wang , Imad M. Jaimoukha , Fei Teng

When the available data for a target domain is limited, transfer learning (TL) methods can be used to develop models on related data-rich domains, before deploying them on the target domain. However, these TL methods are typically designed…

Statistical Finance · Quantitative Finance 2025-08-06 Ricardo Ribeiro Pereira , Jacopo Bono , Hugo Ferreira , Pedro Ribeiro , Carlos Soares , Pedro Bizarro

Artificial neural network (ANN) provides superior accuracy for nonlinear alternating current (AC) state estimation (SE) in smart grid over traditional methods. However, research has discovered that ANN could be easily fooled by adversarial…

Machine Learning · Computer Science 2019-06-28 Tian Liu , Tao Shu

To support N-1 pre-fault transient stability assessment, this paper introduces a new data collection method in a data-driven algorithm incorporating the knowledge of power system dynamics. The domain knowledge on how the disturbance effect…

Systems and Control · Electrical Eng. & Systems 2022-03-08 Seyedali Meghdadi , Guido Tack , Ariel Liebman , Nicolas Langrené , Christoph Bergmeir

The integration of communication networks and the Internet of Things (IoT) in Industrial Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing devastating outcomes. Traditional Intrusion Detection Systems…

Signal Processing · Electrical Eng. & Systems 2020-05-05 Abdulrahman Al-Abassi , Hadis Karimipour , Ali Dehghantanha , Reza M. Parizi

Fault diagnosis prevents train disruptions by ensuring the stability and reliability of their transmission systems. Data-driven fault diagnosis models have several advantages over traditional methods in terms of dealing with non-linearity,…

Machine Learning · Computer Science 2025-09-22 Jonathan Adam Rico , Nagarajan Raghavan , Senthilnath Jayavelu

Future power networks will be characterized by safe and reliable functionality against physical malfunctions and cyber attacks. This paper proposes a unified framework and advanced monitoring procedures to detect and identify network…

Optimization and Control · Mathematics 2011-03-16 Fabio Pasqualetti , Florian Dörfler , Francesco Bullo

This letter proposes a novel, fully distributed, transient-safe resilient secondary control strategies for AC microgrids, addressing unbounded false data injection (FDI) attacks on control input channels. Unlike existing methods that focus…

Systems and Control · Electrical Eng. & Systems 2024-10-08 Mohamadamin Rajabinezhad , Nesa Shams , Yichao Wang , Shan Zuo

Modern power systems have begun integrating synchrophasor technologies into part of daily operations. Given the amount of solutions offered and the maturity rate of application development it is not a matter of "if" but a matter of "when"…

Machine Learning · Computer Science 2015-09-18 Jordan Landford , Rich Meier , Richard Barella , Xinghui Zhao , Eduardo Cotilla-Sanchez , Robert B. Bass , Scott Wallace

The Supervisory control and data acquisition (SCADA) systems have been continuously leveraging the evolution of network architecture, communication protocols, next-generation communication techniques (5G, 6G, Wi-Fi 6), and the internet of…

Systems and Control · Electrical Eng. & Systems 2021-04-16 Manoj Basnet , Subash Poudyal , Mohd. Hasan Ali , Dipankar Dasgupta

The rapid growth in Internet of Things (IoT) technology has become an integral part of today's industries forming the Industrial IoT (IIoT) initiative, where industries are leveraging IoT to improve communication and connectivity via…

Artificial Intelligence · Computer Science 2023-10-12 Lochana Telugu Rajesh , Tapadhir Das , Raj Mani Shukla , Shamik Sengupta