Article
Computer Science, Information Systems
Junhwan Lee, Erick Schmidt, Nikolaos Gatsis, David Akopian
Summary: This paper extends the application of sparse signal processing framework and proposes a new method to address more complicated attacks from stationary and low-dynamic receivers. The method is evaluated in lab-based and commercial device tests, demonstrating its robustness against both authentic and synthetic spoofed signals.
Article
Engineering, Electrical & Electronic
Ancheng Xue, Feiyang Xu, Joe H. Chow, Shuang Leng, He Kong, Jingsong Xu, Tianshu Bi
Summary: The paper proposes two simple but effective and automatic detection methods for GPS spoofing attack (GSA), which are based on monitoring the changes of estimated line reactance using PMU data. These methods do not require prior knowledge of line parameters and system topology, and demonstrate high reliability and superiority.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
David M. Laverty, Colin Kelsey, John B. O'Raw
Summary: This paper introduces a novel method for GNSS spoofing detection in electrical substations, which uses multiple receive antennas to detect spoofing attacks by measuring the position estimation variance. The results can be used to alert time sensitive applications to use alternative time sources or holdover clocks.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Computer Science, Information Systems
Kamila Koteish, Hassan Harb, Mohammad Dbouk, Chamseddine Zaki, Chady Abou Jaoude
Summary: Agriculture is facing challenges such as increasing food demand, extreme weather conditions, and climate change. Smart agriculture, enabled by IoT technology, offers a solution by remotely monitoring field conditions and providing real-time data to farmers. However, the volume of collected data and energy consumption pose challenges. This paper proposes AGRO, a real-time agriculture monitoring mechanism, which efficiently senses soil moisture, saves energy, and enables informed decision-making.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Software Engineering
Chen Liang, Meixia Miao, Jianfeng Ma, Hongyang Yan, Qun Zhang, Xinghua Li
Summary: Most of the existing GPS spoofing detection schemes are vulnerable to generative GPS spoofing attacks or require additional equipment and extensive signal processing capabilities, which are not suitable for UAV systems. To address this, we propose a novel solution that combines GPS receiver and inertial measurement unit information fusion. Experimental results show that our method can accurately detect spoofing attacks in 8 seconds with a detection rate of 98.6%. Compared to existing schemes, our method improves real-time detection performance while maintaining a high detection rate. In the worst-case scenario, we can detect the spoofing attack within 28 seconds after the UAV system starts its mission.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Automation & Control Systems
Marguerite Delcourt, Jean-Yves Le Boudec
Summary: Time-synchronization attacks on PMUs pose a real threat to smart grids. This paper presents novel vulnerability conditions and a security requirement to prevent these attacks. Experimental results show that grids satisfying the security requirement are less vulnerable to attacks.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Review
Physics, Multidisciplinary
Dibakar Ghosh, Mattia Frasca, Alessandro Rizzo, Soumen Majhi, Sarbendu Rakshit, Karin Alfaro-Bittner, Stefano Boccaletti
Summary: Complex network theory has provided an ideal framework for studying the relationships between the connectivity patterns and emergent synchronized functioning in systems. This review summarizes the major results of contemporary studies on synchronization in time-varying networks, focusing on two paradigmatic frameworks. It also discusses promising directions and open problems for future research.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
(2022)
Article
Computer Science, Hardware & Architecture
S. Tohidi, M. R. Mosavi
Summary: Spoofing attacks are a significant threat to GPS applications. In this study, a fuzzy-acquisition technique is proposed to counter spoofing attacks by adjusting the acquisition threshold based on parameters affecting acquisition performance. Additionally, a new criterion utilizing the correlation levels of different satellite signals is introduced to distinguish between spoofing and authentic signals. Experimental results demonstrate that the proposed algorithm effectively mitigates spoofing attacks with an average reduction of 96.61%. Furthermore, a comparison against a wavelet-based method shows a 21.60% advantage for our approach.
MICROPROCESSORS AND MICROSYSTEMS
(2023)
Article
Environmental Sciences
Xiaomin Wei, Cong Sun, Minjie Lyu, Qipeng Song, Yue Li
Summary: In this paper, a control semantics-based detection approach called CONSTDET is proposed for GPS spoofing attacks on UAVs using machine learning algorithms. Real experiments and evaluations demonstrate the effectiveness and superiority of CONSTDET.
Article
Environmental Sciences
Xiaomin Wei, Yao Wang, Cong Sun
Summary: This paper proposes a perception-data-based UAV GPS spoofing detection method called PerDet. By utilizing data from multiple sensors and running machine learning algorithms, PerDet is able to effectively detect GPS spoofing signals with a high detection rate.
Article
Chemistry, Analytical
Young-Hwa Sung, Soo-Jae Park, Dong-Yeon Kim, Sungho Kim
Summary: This study proposes a lightweight and efficient anti-spoofing method based on deep learning for detecting GPS spoofing attacks on UAVs. The method can run in real-time on mobile platforms and its performance can be further enhanced by increasing training data and adjusting the network architecture.
Article
Computer Science, Information Systems
Xiangyong Shang, Fuping Sun, Bodong Liu, Lundong Zhang, Xinhui Zhu
Summary: The study introduces a novel single-antenna-based algorithm to mitigate time synchronization attacks on GNSS. By utilizing multicorrelator estimator and robust extended Kalman filter, it successfully reduces the impact of spoofing signals on GNSS timing, while simplifying receiver installation and costs.
Article
Automation & Control Systems
Shehzad Ashraf Chaudhry, Khalid Yahya, Sahil Garg, Georges Kaddoum, Mohammad Mehedi Hassan, Yousaf Bin Zikria
Summary: The communication between smart meters (SMs) and neighborhood area network (NAN) gateways is essential for managing energy consumption. Existing schemes lack security and/or efficiency, calling for a more efficient and secure authentication scheme for smart grid infrastructure. This article proposes a privacy-preserving and lightweight authentication scheme (LAS-SG) for smart grids using elliptic curve cryptography, which has been proven to be secure under the standard model. Real-time experiments demonstrate the efficiency of LAS-SG, completing authentication in 20.331 ms with only two messages and 192 B exchanged. Due to its efficiency and security, LAS-SG is more suitable for smart grid environments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Chemistry, Analytical
Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Summary: To achieve the goal of implementing smart grids, this paper proposes a method for automatically reading digits from a dial meter. The method utilizes deep learning and the YOLOv5s model to localize and recognize the digits. An experimental case study is presented to confirm the effectiveness of the proposed method for automatic digit recognition from dial meters.
Article
Transportation Science & Technology
Kelvin Lee, Yu Jiang, Avishai (Avi) Ceder, Justin Dauwels, Rong Su, Otto Anker Nielsen
Summary: This study proposes a mixed integer linear programming model for the public transport schedule synchronization problem, considering both path transfer time and time-dependent travel time data. Novel valid inequalities are derived to improve computational performance. Numerical studies show that the use of time-dependent travel time data reduces path transfer times.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Engineering, Electrical & Electronic
Aleksandar Dimitrovski, Zhi Li, Burak Ozpineci
IEEE TRANSACTIONS ON POWER DELIVERY
(2015)
Article
Engineering, Electrical & Electronic
Alexander C. Melhorn, Aleksandar Dimitrovski
IET GENERATION TRANSMISSION & DISTRIBUTION
(2015)
Article
Engineering, Electrical & Electronic
Keman Lin, Kevin Tomsovic, Qiulan Wan, Aleksandar Dimitrovski
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2016)
Article
Engineering, Electrical & Electronic
Marcus Young, Aleksandar Dimitrovski, Zhi Li, Yilu Liu
IEEE TRANSACTIONS ON POWER DELIVERY
(2016)
Article
Engineering, Electrical & Electronic
Gurunath Gurrala, Aleksandar Dimitrovski, Sreekanth Pannala, Srdjan Simunovic, Michael Starke
IEEE TRANSACTIONS ON POWER SYSTEMS
(2016)
Article
Engineering, Electrical & Electronic
Gurunath Gurrala, Disha Lagadamane Dinesha, Aleksandar Dimitrovski, Pannala Sreekanth, Srdjan Simunovic, Michael Starke
IEEE TRANSACTIONS ON POWER SYSTEMS
(2017)
Article
Engineering, Electrical & Electronic
Junjian Qi, Jianhui Wang, Hui Liu, Aleksandar D. Dimitrovski
IEEE TRANSACTIONS ON POWER SYSTEMS
(2017)
Article
Engineering, Electrical & Electronic
Alexander C. Melhorn, Killian McKenna, Andrew Keane, Damian Flynn, Aleksandar Dimitrovski
IET GENERATION TRANSMISSION & DISTRIBUTION
(2017)
Proceedings Paper
Computer Science, Hardware & Architecture
Nan Duan, Aleksandar Dimitrovski, Srdjan Simunovic, Kai Sun
2016 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE)
(2016)
Proceedings Paper
Energy & Fuels
Marcus Young, Zhi Li, Aleksandar Dimitrovski
2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM)
(2016)
Proceedings Paper
Energy & Fuels
Oguzhan Ceylan, Aleksandar Dimitrovski, Michael Starke, Kevin Tomsovic
2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM)
(2016)
Proceedings Paper
Energy & Fuels
Gurunath Gurrala, Aleksandar Dimitrovski, Srdjan Simunovic, Pannala Sreekanth
2016 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON)
(2016)
Proceedings Paper
Energy & Fuels
Xiaohu Zhang, Kevin Tomsovic, Aleksandar Dimitrovski
2016 NORTH AMERICAN POWER SYMPOSIUM (NAPS)
(2016)
Proceedings Paper
Energy & Fuels
Gurunath Gurrala, Aleksandar Dimitrovski, Pannala Sreekanth, Srdjan Simunovic, Michael Starke, Kai Sun
2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING
(2015)
Proceedings Paper
Energy & Fuels
Brandon J. Johnson, Michael R. Starke, Aleksandar D. Dimitrovski
2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING
(2015)
