Article
Chemistry, Analytical
Sani Umar, Muhamad Felemban
Summary: The paper examines the impact of False Data Injection Attacks (FDIA) on the cost of power generation and physical components of power systems, introducing a new strategy to maximize generation cost and demonstrating its feasibility through simulations. The proposed FDIA significantly increases generation costs in various bus systems and suggests a rule-based detection and prevention mechanism to mitigate such attacks on power systems.
Review
Computer Science, Hardware & Architecture
Mohammad Kamrul Hasan, A. K. M. Ahasan Habib, Zarina Shukur, Fazil Ibrahim, Shayla Islam, Md Abdur Razzaque
Summary: The smart grid system is an intelligent technology that integrates green technology and environmental aspects through a two-way communication system for information transformation, power generation, and distribution. The development and application of communication technology in the traditional power system have led to complex architecture and cyber-attacks for smart grid systems. Therefore, research on smart grid cyber-physical and cyber security systems, standard protocols, and challenges is crucial to protect against these threats and ensure the system's security.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2023)
Article
Computer Science, Theory & Methods
Dario Stabili, Raffaele Romagnoli, Mirco Marchetti, Bruno Sinopoli, Michele Colajanni
Summary: With the introduction of external connectivity to modern vehicles, concerns about the security risks of exposing internal networks through external communication interfaces have been raised. Remote takeover of vehicles through cellular connectivity has demonstrated the need to address these risks. This study investigates the use of a multidisciplinary approach to enhance the cybersecurity of the powertrain system of a generic vehicle, addressing different attack scenarios.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Computer Science, Information Systems
Imran Ashraf, Manideep Narra, Muhammad Umer, Rizwan Majeed, Saima Sadiq, Fawad Javaid, Nouman Rasool
Summary: Intrusion detection systems are crucial for providing high-level network security, especially with the increasing sophistication of network attacks. This study proposes an approach that combines machine learning models to enhance intrusion detection performance in the modern network environment.
Article
Mathematics
Aparna Kumari, Rushil Kaushikkumar Patel, Urvi Chintukumar Sukharamwala, Sudeep Tanwar, Maria Simona Raboaca, Aldosary Saad, Amr Tolba
Summary: This paper proposes an AI-based attack-detection and prevention mechanism for the smart grid system, which ensures data security and integrity using a cryptography-driven recommender system. The proposed scheme outperforms existing approaches and achieves a relatively high accuracy of 99.12%.
Article
Computer Science, Hardware & Architecture
Dong Jin, Shuangwu Chen, Huasen He, Xiaofeng Jiang, Siyu Cheng, Jian Yang
Summary: Smart community networks bring both convenience and security risks. To address the increasing zero-day attacks that bypass existing intrusion detection systems (IDS), we propose an evolvable IDS (EIDS) that incrementally updates the detection model to detect unknown attacks. We develop an open-set intrusion detection model based on discriminative auto-encoder and introduce a federated incremental learning method to update the detection model with knowledge from different detectors, avoiding the need for retraining. Experimental results show that EIDS achieves high accuracy in open-set intrusion detection and significantly reduces model update time compared to centralized retraining.
Article
Construction & Building Technology
Zhanwei He, Javad Khazaei, Faegheh Moazeni, James D. Freihaut
Summary: The proposed approach in this paper utilizes a simplified neural network to detect false data injection (FDI) attacks targeting transmission lines in smart grids. The innovation lies in its ability to detect stealthy attacks that not only bypass state-estimation, but also result in congestion of transmission lines. Numerical results demonstrate the high accuracy of the method in detecting cyber-physical attacks, and case studies are included to test its resilience in various scenarios.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Chemistry, Multidisciplinary
Manohar Chamana, Rabindra Bhatta, Konrad Schmitt, Rajendra Shrestha, Stephen Bayne
Summary: In order to support research and education in smart grid applications, innovative Cyber-Physical System (CPS) testbeds are needed. This paper proposes a complete testbed using a real-time simulator, protection and automation devices, and a supervisory control and data acquisition (SCADA) system. It replicates the performance of smart grids and the main potential cyber threats they may face, providing insights for future smart grid testbed design.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Amir El-Ghamry, Ashraf Darwish, Aboul Ella Hassanien
Summary: Smart farming is an advanced approach to managing a farm, which involves monitoring crop health and productivity using technology and information. The Internet of Things enables smart farming by collecting and storing data, but also exposes it to cyber-attacks. Therefore, an intrusion detection system that can adapt to the challenges of IoT networks in agriculture is crucial.
INTERNET OF THINGS
(2023)
Article
Energy & Fuels
Oemer Sen, Dennis van der Velde, Katharina A. Wehrmeister, Immanuel Hacker, Martin Henze, Michael Andres
Summary: While digitization of distribution grids provides benefits, it also brings increased risks from serious cyber security threats. Addressing these threats requires advanced security measures and automated procedures to process cyber intelligence for supporting security operations.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Energy & Fuels
Amitkumar Jha, Bhargav Appasani, Taha Selim Ustun
Summary: This paper discusses the resiliency analysis of the synchrophasor communication network (SCN) in the smart grid cyber-physical system (SGCPS). It presents a comprehensive resiliency metric and evaluation methodology, and analyzes the resiliency of SCNs in the practical power grid of West Bengal State, India.
Article
Computer Science, Information Systems
Mohammed M. Alani, Lara Mauri, Ernesto Damiani
Summary: As the adoption of IoT devices increases rapidly, industrial applications of IoT devices gain further popularity. This paper presents a two-stage system for the detection and classification of cyber attacks based on machine learning, aiming to enhance the security of high-risk applications such as smart grids.
INTERNET OF THINGS
(2023)
Article
Computer Science, Information Systems
Sakhnini Jacob, Hadis Karimipour, Dehghantanha Ali, M. Parizi Reza, Gautam Srivastava
Summary: The integration of sensors and communication technology in power systems, known as the smart grid, is an emerging topic in science and technology. One critical issue facing the smart grid is its increased vulnerability to cyber-threats. This paper presents a bibliometric survey of research papers focused on the security aspects of Internet of Things (IoT) aided smart grids, and offers insights into the types of cyber-threats, security mechanisms, and research gaps in this field.
INTERNET OF THINGS
(2021)
Review
Engineering, Electrical & Electronic
Rajaa Vikhram Yohanandhan, Rajvikram Madurai Elavarasan, Rishi Pugazhendhi, Manoharan Premkumar, Lucian Mihet-Popa, Junbo Zhao, Vladimir Terzija
Summary: CPPS is a new system integrating traditional energy systems with an information network, introducing challenges in maintaining supply security such as cybersecurity, neighbouring energy systems, and system interactions dynamics. Integrating computing, communications, and control at all levels increases vulnerabilities and complicates security in CPPS, necessitating security studies reflecting CPPS infrastructure characteristics in actual testing environments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Xin Sun, Zhijun Tang, Mengxuan Du, Chaoping Deng, Wenbin Lin, Jinshan Chen, Qi Qi, Haifeng Zheng
Summary: This paper proposes a transformer-based intrusion detection model and integrates 5G technology into the AMI system, presenting a hierarchical federated learning intrusion detection system to protect user privacy. Experimental results demonstrate that the proposed approach outperforms other methods in terms of intrusion detection accuracy and communication cost.
Article
Engineering, Electrical & Electronic
Jing Xie, Chen-Ching Liu, Marino Sforna, Martin Bilek, Radek Hamza
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2016)
Review
Energy & Fuels
Jing Xie, Alexandru Stefanov, Chen-Ching Liu
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
(2016)
Article
Engineering, Electrical & Electronic
Jing Xie, Juan Carlos Bedoya, Chen-Ching Liu, Adam Hahn, Kudrat Jot Kaur, Rajveer Singh
IEEE TRANSACTIONS ON POWER SYSTEMS
(2018)
Article
Engineering, Electrical & Electronic
Kevin P. Schneider, Nikitha Radhakrishnan, Yingying Tang, Francis K. Tuffner, Chen-Ching Liu, Jing Xie, Dan Ton
IEEE TRANSACTIONS ON POWER SYSTEMS
(2019)
Article
Engineering, Electrical & Electronic
Wei Du, Francis K. Tuffner, Kevin P. Schneider, Robert H. Lasseter, Jing Xie, Zhe Chen, Bishnu Bhattarai
Summary: This paper addresses the lack of dynamic analysis in distribution system planning studies, developing new inverter models and validating their effectiveness in large-scale distribution system analysis. The study results show that the use of grid-forming inverters can improve the voltage and frequency stability of islanded distribution systems.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Jing Xie, Chen-Ching Liu, Marino Sforna
2017 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATION TO POWER SYSTEMS (ISAP)
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Jing Xie, Chen-Ching Liu, Marino Sforna
2015 IEEE EINDHOVEN POWERTECH
(2015)
Proceedings Paper
Engineering, Electrical & Electronic
Jing Xie, Chen-Ching Liu, Marino Sforna, Martin Bilek, Radek Hamza
2015 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATION TO POWER SYSTEMS (ISAP)
(2015)
