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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Sanchez-Acevedo, Santiago Zerihun, Tesfaye Amare Katoulaei, Mohammad Khalili Høidalen, Hans Kristian Zinner, Thomas Sintef Energy Research Department of Energy Systems Trondheim Norway Norwegian University of Science and Technology Department of Energy Systems Trondheim Norway Norwegian University of Science and Technology Department of Information Security and Communication Technology Trondheim Norway

ISBN: (纸本)9789531842976

This paper analyses communications-assisted accelerated line protection scheme using 5G communication between two substations. The primary goal is to eliminate the reliance on traditional wired communication methods typically used for line protection trips during fault conditions at distant ends of the line. The study employs a hardware-in-the-loop setup, featuring hardware intelligent electronic devices and a real-time simulator to model virtual merging units of the substations. A realistic operational private 5G network is utilized as the wide area communication infrastructure for the accelerated distance protection. Experimental results in a laboratory environment demonstrate the feasibility and effectiveness of implementing 5G technology for enhancing line protection. © 2024 IEEE.

关键词： Hardware-in-the-loop simulation

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An Efficient and Lightweight Commitment Scheme for IoT Data Streams 19

An Efficient and Lightweight Commitment Scheme for IoT Data ...

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19th Annual International Conference on Distributed Computing in Smart systems and the Internet of Things, DCOSS-IoT 2023

作者： Katsika, Angeliki Papageorgiou, Konstantinos Fakis, Alexandros Plagianakos, Vassilis Spathoulas, Georgios University of Thessaly Department of Computer Science and Biomedical Informatics Lamia Greece University of the Aegean Department of Information and Communication Systems Engineering Samos Greece Department of Information Security and Communication Technology Gjøvik Norway

ISBN: (纸本)9798350346497

Data integrity is a crucial property for offering Internet of Things (IoT) services. Usually, this is achieved by assuming a high level of trust in the service provider, a practice that induces negative implications. In the present paper, an efficient and lightweight commitment scheme for IoT data streams is presented. The proposed scheme combines KZG polynomial commitments and a blockchain smart contract to enable full data integrity while requiring trust only at the IoT device level. Given that the IoT device operates properly, no tampering can happen at any other point of the IoT workflow, without being noticed, while the protocol offers the option for automated settlement of cases where the operator tampers with users' data. A number of experiments have been conducted to assess the computation/gas fees requirements of the scheme and validate its real-world applicability. © 2023 IEEE.

关键词： Internet of things

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Artificial intelligence in physiological characteristics recognition for internet of things authentication

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Digital communications and Networks 2024年第3期10卷 740-755页

作者： Zhimin Zhang Huansheng Ning Fadi Farha Jianguo Ding Kim-Kwang Raymond Choo School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083China Faculty of Informatics Engineering Aleppo UniversityAleppoSyria Department of Computer Science Blekinge Institute of Technology37179KarlskronaSweden Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249-0631USA

Effective user authentication is key to ensuring equipment security,data privacy,and personalized services in Internet of Things(IoT)***,conventional mode-based authentication methods(e.g.,passwords and smart cards)may be vulnerable to a broad range of attacks(e.g.,eavesdropping and side-channel attacks).Hence,there have been attempts to design biometric-based authentication solutions,which rely on physiological and behavioral *** characteristics need continuous monitoring and specific environmental settings,which can be challenging to implement in ***,we can also leverage Artificial Intelligence(AI)in the extraction and classification of physiological characteristics from IoT devices processing to facilitate ***,we review the literature on the use of AI in physiological characteristics recognition pub-lished after *** use the three-layer architecture of the IoT(i.e.,sensing layer,feature layer,and algorithm layer)to guide the discussion of existing approaches and their *** also identify a number of future research opportunities,which will hopefully guide the design of next generation solutions.

关键词： Physiological characteristics recognition Artificial intelligence Internet of things Biological-driven authentication

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Compressing Time Series Towards Lightweight Integrity Commitments 8

Compressing Time Series Towards Lightweight Integrity Commit...

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8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2023

作者： Katsika, Angeliki Papageorgiou, Konstantinos Fakis, Alexandros Kakarountas, Athanasios Andritsopoulos, Fotis Plagianakos, Vassilis Spathoulas, Georgios University of the Aegean Department of Information and Communication Systems Engineering Samos Greece ITrack Athens Greece University of Thessaly Department of Computer Science and Biomedical Informatics Lamia Greece Department of Information Security and Communication Technology Gjovik Norway

ISBN: (纸本)9798350383676

In the current era of big data, the generation and preservation of time series data has seen widespread adoption in various sectors such as trade, healthcare, and industry. At the same time, data have become a prized asset, as we are witnessing an unprecedented explosion in the volume of data generated and collected. This includes data from various sources, such as sensors, social media, and transactions, offering a competitive edge to organizations that harness the power of data, leading them to informed decisions and rapid responses to changing conditions. However, it is essential to responsibly manage data, addressing privacy and security concerns to ensure their integrity and availability, while efficiently managing the cost of storage and operations. To address these challenges, there is a compelling de-mand for methods that compress these time series while ensuring that the compressed versions faithfully represent the original data and remain secure against tampering or unauthorized alterations. This paper introduces a novel approach to condensing time-series data into lightweight integrity commitments, leveraging polynomial vector commitments as a key component. These integrity commitments are integrated with blockchain technology, serving as a cornerstone in guaranteeing data integrity and authenticity, particularly in supply chain scenarios where trust and transparency are of the utmost importance. © 2023 IEEE.

关键词： Time series

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Cyber Attack Simulation and Detection in Digital Substation 3

Cyber Attack Simulation and Detection in Digital Substation

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3rd International Conference on Secure Cyber Computing and communications, ICSCCC 2023

作者： Abraham, Doney Yayilgan, Sule Yildirim Holik, Filip Acevedo, Santiago Sanchez Gebremedhin, Alemayehu Norwegian University of Science and Technology Information Security and Communication Technology Gjovik Norway Sintef Energy Research Department of Energy Systems Trondheim Norway Norwegian University of Science and Technology Department of Manufacturing and Civil Engineering Gjovik Norway

ISBN: (纸本)9798350300710

Transforming electrical grids into digital systems has brought many advantages, but it has also introduced new vulnerabilities that cyber attackers can exploit. Therefore, early detection of these attacks is crucial to minimize the impact on power grid operations. This paper presents the results of our investigation into the simulation and detection of cyber attacks in digital substations. Our study focuses on comparing multiple machine learning algorithms for detecting replay attacks and false data injections. The results of our study show that the best model for replay attack detection is the Logistic Regression with an accuracy of 94%. On the other hand, for false data injection detection, multiple models show high precision, recall, F1-score, and accuracy, with the best model in terms of computation time being Support Vector Machine. Our findings provide valuable insights into using machine learning algorithms to simulate and detect cyber attacks in digital substations. © 2023 IEEE.

关键词： Support vector machines

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Deploying 5G architecture for protection systems in smart distribution grids

Deploying 5G architecture for protection systems in smart di...

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2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022

作者： Adrah, Charles M. Palma, David Kure, Oivind Heegaard, Poul E. Norwegian University of Science and Technology NTNU Department of Information Security and Communication Technology Trondheim Norway University of Oslo UiO Department of Technology Systems Oslo Norway

ISBN: (纸本)9781665437752

The evolution in 5G has seen innovative applications in sectors such as energy, transport, manufacturing and healthcare. Within the energy system, several applications have been defined that can benefit from 5G low latency services and enabling technologies such as mobile edge computing (MEC). However, energy applications have requirements that need to be clearly identified to be able to be realized in the 5G communication system. In this paper, we present power protection system applications in smart distribution grids and their 5G service requirements. We focus on differential protection applications and highlight the challenges in deriving latency requirements to meet the protection application requirements. Finally, we propose a 5G MEC architecture for differential protection applications and show the different deployment architectures that can be realized in a 5G system. © 2022 IEEE.

关键词： Mobile edge computing

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A Review of Key Elements for Underwater Wireless Sensor Networks

A Review of Key Elements for Underwater Wireless Sensor Netw...

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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Ahmed, Amjed Abbas Najim, Ali Hamza Al-Dulaimi, Aymen Mohammed Ali Alheeti, Khattab M. Mohd Satar, Nurhizam Safie Aliesawi, Salah A. Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science and Technology Bangi Malaysia Department of Computer Techniques Engineering Baghdad Iraq Department of Computer Technical Engineering Al-Diwaniyah Iraq College of Engineering Techniques Department of Communication Technical Engineering Al-Farahidi University Baghdad Iraq College of Computer and Information Technology Computer Networking Systems Department University of Anbar Anbar Iraq Center for Cyber Security Faculty of Information Science and Technology Bangi43600 Malaysia College of Computer and Information Technology Department of Computer Networking Systems University of Anbar Anbar Iraq

ISBN: (纸本)9798350369106

Underwater Wireless Sensor Networks (UWSNs) are emerging and have huge prospects since they have various applications in oceanography, environmental monitoring, and underwater communication. These networks contain low-cost submerged sensors that are mostly connected by way of acoustic media. Sensors are relatively new to underwater research, and thanks to recent technological development, they can now function at different depths. In this article, the author explores what UWSNs must do to operate smoothly by exploring the basic features that they must meet for further development. Real-time Underwater communication remains an open problem due to underwater acoustic channels important for undersea data acquisition, undersea navigation, and undersea remote sensing. To mitigate such challenges and in light of the use of new technologies, researchers seek to improve the reliability and reliability of UWSNs. Finally, there is great potential with UWSNs for investigating and exploiting the underwater environment by improving scenarios of different domains in line with subaqueous data and communications. © 2024 IEEE.

关键词： Wireless sensor networks

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A real-time cyber-physical testbed to assess protection system traffic over 5G networks

A real-time cyber-physical testbed to assess protection syst...

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2022 IEEE International Conference on communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2022

作者： Adrah, Charles M. Katoulaei, Mohammad K. Amare, Tesfaye Palma, David Norwegian University of Science and Technology Ntnu Department of Information Security and Communication Technology Trondheim Norway Ntnu Department of Electric Power Systems Trondheim Norway Sintef Energy As Trondheim Norway

ISBN: (数字)9781665432542

ISBN: (纸本)9781665432542

The fifth-generation (5G) mobile network promises to offer low latency services. Hence, there is interest in assessing various power distribution grid applications that can be deployed with a 5G infrastructure. This paper presents a smart grid cyber-physical testbed for protection systems. It consists of power system applications deployed on OPAL-RT, a real-time platform, and a 5G communication network modeled in ns-3. The testbed is used to assess the performance of a power system protection application (Permissive Underreaching Transfer Trip (PUTT) protection scheme) deployed over a 5G communication network. The proposed approach enables real-time protection traffic to be analyzed in an emulated 5G network and gives insights into how such a testbed can be used to assess the performance of protection traffic in 5G networks and beyond. © 2022 IEEE.

关键词： 5G mobile communication systems

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Influence of Access Points’ Height and High Signal Relation in WLAN Fingerprinting-Based Indoor Positioning systems’ Accuracy 1

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26th International Conference on Distributed Computer and communication Networks: Control, Computation, communications, DCCN 2023

作者： Nicholaus, Mrindoko R. Ruambo, Francis A. Masanga, Elijah E. Muthanna, Mohammed Saleh Ali Lashchev, Andrei Computer Science and Engineering Department College of Information and Communication Technology Mbeya University of Science and Technology 131 Mbeya Tanzania United Republic of Information Systems and Technology Department College of Information and Communication Technology Mbeya University of Science and Technology 131 Mbeya Tanzania United Republic of School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China Research and Development Department Aifrruis Laboratories Mbeya Tanzania United Republic of Institute of Computer Technologies and Information Security Southern Federal University Taganrog347922 Russia

ISBN: (数字)9783031504822

ISBN: (纸本)9783031504815

Wireless Local Area Network (WLAN) Fingerprinting-based Indoor Positioning systems (IPS) offer several key advantages over other indoor positioning technologies, including cost-effectiveness with high accuracy and passive tracking of entities’ location without Global Positioning System (GPS) dependence. However, achieving a satisfactory accuracy performance of the WLAN fingerprinting-based IPS is still challenging, as it is affected by several factors, such as obstacles (e.g., walls and furniture) that can block or weaken wireless signals. Additionally, the IPS’s accuracy can be affected by environmental changes, such as the height, addition, or removal of a WLAN Access Point (AP) or changes in radio frequency interference. This paper presents a novel algorithm incorporating a probabilistic analytical model employing only high signal relations that mitigate the effect of low signal relation on the WLAN fingerprinting-based IPS, thus improving the accuracy performance. Furthermore, it analyses the impact of AP heights on the accuracy performance of the WLAN IPS. Upon extensive experiments, the proposed algorithm improves the accuracy of the IPS by an average of 32.74% in terms of Root Mean Square Error (RMSE). These results imply that incorporating APs’ height and high signal relations can significantly improve the accuracy performance of the WLAN fingerprinting-based IPS. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Cost effectiveness

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LightSC: The Making of a Usable security Classification Tool for DevSecOps

arXiv

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arXiv 2024年

作者： Shrestha, Manish Johansen, Christian Johansen, Johanna Department of Technology Systems University of Oslo Norway Department of Information Security and Communication Technologies NTNU Norway Department of Computer Science NTNU Norway

DevSecOps is the extension of DevOps with security training and tools included throughout all the phases of the software development life cycle. DevOps has become a popular way of developing modern software, especially in the Internet of Things arena, due to its focus on rapid development, with short release cycles, involving the user/client very closely. security classification methods, on the other hand, are heavy and slow processes that require high expertise in security, the same as in other similar areas such as risk analysis or certification. As such, security classification methods are hardly compatible with the DevSecOps culture, which to the contrary, has moved away from the traditional style of penetration testing done only when the software product is in the final stages or already deployed. In this work, we first propose five principles for a security classification to be DevOps-ready, two of which will be the focus for the rest of the paper, namely to be tool-based and easy to use for non-security experts, such as ordinary developers or system architects. We then exemplify how one can make a security classification methodology DevOps-ready. We do this through an interaction design process, where we create and evaluate the usability of a tool implementing the chosen methodology. Since such work seems to be new within the usable security community, and even more so in the software development (DevOps) community, we extract from our process a general, three-steps ‘recipe’ that others can follow when making their own security methodologies DevOps-ready. The tool that we build is in itself a contribution of this process, as it can be independently used, extended, and/or integrated by developer teams into their DevSecOps tool-chains. Our tool is perceived (by the test subjects) as most useful in the design phase, but also during the testing phase where the security class would be one of the metrics used to evaluate the quality of their software. © 2024, CC BY

关键词： Software testing

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