The Secure Lattice-Based Data Aggregation Scheme in Residential Networks for Smart Grid

Qian, Jiawei; Cao, Zhenfu; Lu, Mengjie; Chen, Xin; Shen, Jiachen; Liu, Jiangnan

doi:10.1109/jiot.2021.3090270

Cited by 14 publications

(4 citation statements)

References 26 publications

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“…Artificial intelligence is also proven to be very effective in protecting smart grids, intelligent vehicles, and smart cities from hackers by developing adaptive baseline behavior models, effectively detecting new, unknown attacks by combining known and unknown data sets based on predictive analytics and machine intelligence, as discussed in [156], [157], and [158] respectively. Other examples of technical approaches that have been used to develop security measures for CPS include big data analysis [159], cryptography [160], machine learning [161], deep learning [162], and distributed ledger technology [163]. Importantly also, for making data available from CPS, and sharing, provably private transformations are required that retain data utility, a comprehensive survey of such relevant differentially private techniques for CPS is provided in [164].…”

Section: ) Security and Privacymentioning

confidence: 99%

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

et al. 2023

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With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm with profound applications in many aspects of society including homes, energy, agriculture, health-care, transportation, business, and manufacturing. A CPS uses suitable computational techniques such as game theory to enable different entities to interact with one another for taking necessary actions to obtain selected objectives. Recent literature on CPS has extensively used game theory to approach a variety of technical challenges. In order to make these contributions more accessible to a broader audience, there is a need for studies that can provide readers with a comprehensive understanding of different types of CPS and their attributes, then clearly outline why game theory is relevant for modeling different aspects of CPS, and also discuss how game theory has been used in relevant literature to date. This paper bridges this gap by 1) providing a general discussion of different types of CPS and their characteristics; 2) giving an overview of different types of game-theoretic approaches; 3) explaining why game theory is appropriate for modeling different types of CPS; and 4) finally, studying how game theory has been used in different CPS types to address their challenges. Further, we also identify some key research challenges for future investigation where game theory could be applied as a potential solution.

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Section: ) Security and Privacymentioning

confidence: 99%

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

et al. 2023

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“…Among others, syndrome decoding, low weight codewords, large weight ternary syndrome decoding, McEliece-Goppa syndrome decoding, rank-metric syndrome decoding, and syndrome decoding in various other metrics are important challenges to address in the future. [241] applied a data aggregation scheme in residential networks for smart grids. In this approach, lattice-based homomorphic cryptography is applied for resisting the networks against quantum attacks.…”

Section: Chalkias Etmentioning

confidence: 99%

Survey of Promising Technologies for Quantum Drones and Networks

Kumar¹,

Bhatia

Kaushik

et al. 2021

IEEE Access

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Due to recent advancements in quantum drones, the Internet of Quantum Drones (IoQDs), and Drone-to-Satellite connectivity, several advantages have been anticipated for real-time applications. This work examines quantum computing issues, including quantum data processing, techniques, circuits, and algorithms important for quantum drones or their networks. Here, we discussed the current research trends on quantum computing, quantum-safe computing, or post-quantum cryptography important to quantum networks, followed by the numerous advantages, limitations, future advancements, and research issues connected with quantum technologies, drones, and their network. This work has also prepared a taxonomy of quantum-related areas depending upon the logic of their learning, followed by a review of each of these areas. We review the most recent work over quantum algorithms used in various-quantum-related areas and networks, the role of quantum satellites for drone-based networks and communications, how quantum artificial intelligence and quantum machine learning are important for quantum drones, networks and futuristic applications, quantum attacks, quantum genetic algorithms, and the importance of post-quantum and quantum-safe cryptography. The challenges and research directions in these domains are explored as well. Lastly, this work presents an overview of the current state of knowledge in various promising technologies that are recently found to be important for quantum drones and networks.

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“…Future computation technologies might bring risks to cybersecurity, along with the development of quantum computers, which are believed to be capable of breaking most of the commonly used encryption systems nowadays. This has brought an urgency to develop and examine many candidates for post-quantum cryptographic systems to secure data transmission in energy systems monitoring (ESM) [32,33].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Post-Quantum Cryptographic Algorithm Implementations for Secure and Efficient Energy Systems Monitoring

Satrya,

Agus,

Mnaouer

2023

Electronics

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The Internet of Things (IoT) has assumed a pivotal role in the advancement of communication technology and in our daily lives. However, an IoT system such as a smart grid with poorly designed topology and weak security protocols might be vulnerable to cybercrimes. Exploits may arise from sensor data interception en route to the intended consumer within an IoT system. The increasing integration of electronic devices interconnected via the internet has galvanized the acceptance of this technology. Nonetheless, as the number of users of this technology surges, there must be an aligned concern to ensure that security measures are diligently enforced within IoT communication systems, such as in smart homes, smart cities, smart factories, smart hospitals, and smart grids. This research addresses security lacunae in the topology and configuration of IoT energy monitoring systems using post-quantum cryptographic techniques. We propose tailored implementations of the Rivest–Shamir–Adleman (RSA), N-th degree Truncated Polynomial Ring Units (NTRU), and a suite of cryptographic primitives based on Module Learning With Rounding (Saber) as post-quantum cryptographic candidate algorithms for IoT devices. These aim to secure publisher–subscriber end-to-end communication in energy system monitoring. Additionally, we offer a comparative analysis of these tailored implementations on low-resource devices, such as the Raspberry Pi, during data transmission using the Message Queuing Telemetry Transport (MQTT) protocol. Results indicate that the customized implementation of NTRU outperforms both SABER and RSA in terms of CPU and memory usage, while Light SABER emerges as the front-runner when considering encryption and decryption delays.

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The Secure Lattice-Based Data Aggregation Scheme in Residential Networks for Smart Grid

Cited by 14 publications

References 26 publications

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective

Survey of Promising Technologies for Quantum Drones and Networks

A Comparative Study of Post-Quantum Cryptographic Algorithm Implementations for Secure and Efficient Energy Systems Monitoring

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