Lightweight Quantum Encryption for Secure Transmission of Power Data in Smart Grid

Li, Yuancheng; Zhang, Pan; Huang, Rong

doi:10.1109/access.2019.2893056

Cited by 45 publications

(21 citation statements)

References 22 publications

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“…Bretas et al [25] gave a proof of how parameter errors spread out to the measurements functions and pointed analytical method for cyber-physical security in smart grid as a malicious data attack to detect. Wang et al [26] proposed a data framing attack detection algorithm based on support vector machine, and proved that the proposed algorithm in this paper has [8,13,16,17] encryption and decryption high resource consumption high security [9] data mining unable to address specific security protections easy to discover new attack modes [10] private transmission control protocol not many scenarios high security [11] access control low efficiency high security [12] heuristic planning failed to protect grid information system high grid physical security [14,15] security domain division low efficiency high security [18] intrusion detection unable to withstand unknown attacks easy to discover new attack modes [19] game theory difficult to understand provides quantitative analysis capabilities for data security a good performance on the IEEE benchmark. Ayad et al [27] used recurrent neural networks to detect false data injection attacks.…”

Section: Data Attack For Smart Gridmentioning

confidence: 68%

“…301-309 This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) research work in the field of data security protection for smart grid. Li et al [8] proposed a lightweight transmission scheme for power data security in smart grid. Zhu et al [9] indicated that the existing wireless communication in smart grid could make users' data easily be leaked.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Data filter function incremental mining based on feature selection in an active distribution network

Deng

Cai

Zhang

et al. 2020

IET cyber-phys. syst.

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Compared with traditional distributed networks, the complex access environment, flexible access mode, massive access terminal, and data in an active distribution network will bring great security challenges to data transmission. The existing data security methods, such as access control and encryption, address the security of massive, high dimensional, and non-text data in the active distribution network. Therefore, feature selection algorithm based on rough set is first given to reduce the complexity of massive and high dimensional data. And then, based on feature selection, the authors propose a data filtering function model mining algorithm by using gene expression programming (DFFM-FSGEP). Finally, to solve the data filter function model mining of the incremental dataset, they also present an incremental mining algorithm of the filtering function model based on functional fitting (IMFFM-FF). Experimental results show that the proposed algorithm in this study can greatly reduce the complexity of experimental datasets to be processed, and compared with the other algorithms, DFFM-FSGEP has higher classification accuracy and sensitivity, and IMFFM-FF has higher classification speed and classification accuracy for incremental datasets.

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Section: Data Attack For Smart Gridmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Data filter function incremental mining based on feature selection in an active distribution network

Deng

Cai

Zhang

et al. 2020

IET cyber-phys. syst.

View full text Add to dashboard Cite

show abstract

“…In this section, as summarized in Table IV, we have selectively surveyed only authentication schemes that involve quantum channels. The work [71] has proposed a method to authenticate both the sender and receiver nodes, during the key distribution process of an EB protocol. The authentication is achieved through the verification of an additional authentication key which is kept at a trusted key server.…”

Section: Authentication Of Qkd Nodesmentioning

confidence: 99%

“…The joint consideration of both node authentication and secret key distribution in [71] is also addressed by [73], but in a different way. In [73], BB84 is first used to generate a secret key s i between the key server and the ith nodes in the communication network.…”

Section: Authentication Of Qkd Nodesmentioning

confidence: 99%

A Review of Quantum Key Distribution Protocols in the Perspective of Smart Grid Communication Security

Kong

2022

IEEE Systems Journal

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Smart grid depends on an advanced communication network to collect information from the power grid, and to disseminate control commands to the control devices. To safeguard the power grid, it is crucial to ensure information confidentiality in the communication networks. Quantum key distribution (QKD) protocols help in generating, and distributing secret keys between communication parties, and such secret keys are required in symmetric cryptography. The combination of QKD protocols, and symmetric cryptography are known to be unconditionally secure, which means information confidentiality can be guaranteed even against an eavesdropper, who has unlimited resources. This article provides a concise review of existing works on QKD protocols, and their applications in smart grid communications. Deploying QKD protocols in smart grid is challenging because distance between the control center, and control devices can be larger than the limits of existing protocols. Also, QKD protocols require an expensive quantum channel between each pair of sender, and receiver nodes, and there is large number of control devices with diverse capabilities in smart grid. We have classified existing works based on the challenges they have dealt with. Compared to the rich literature on QKD protocols in general, there are significantly fewer works in the specific context of smart grid. This can be an indication for opportunity to make a significant contribution. We have also identified a few research challenges that can be potential future works.

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“…These lightweight features offer better performance in terms of energy as compared to the traditional cryptographic algorithms. To transmit smart grid power data securely, Yuancheng Li et al [281] proposed a lightweight quantum encryption algorithm. The scheme consists of key distribution, authentication, and data transmission process.…”

Section: ) Lightweight Cryptographymentioning

confidence: 99%

An Empirical Study on System Level Aspects of Internet of Things (IoT)

2020

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Internet of Things (IoT) is an integration of the Sensor, Embedded, Computing, and Communication technologies. The purpose of the IoT is to provide seamless services to anything, anytime at any place. IoT technologies play a crucial role everywhere, which brings the fourth revolution of disruptive technologies after the internet and Information and Communication Technology (ICT). The Research & Development community has predicted that the impact of IoT will be more than the internet and ICT on society, which improves the wellbeing of society and industries. Addressing the predominant system-level design aspects like energy efficiency, robustness, scalability, interoperability, and security issues result in the use of a potential IoT system. This paper presents the current state of art of the functional pillars of IoT and its emerging applications to motivate academicians and researches to develop real-time, energy-efficient, scalable, reliable, and secure IoT applications. This paper summarizes the architecture of IoT, with the contemporary status of IoT architectures. Highlights of the IoT system-level issues to develop more advanced real-time IoT applications have been discussed. Millions of devices exchange information using different communication standards, and interoperability between them is a significant issue. This paper provides the current status of the communication standards and application layer protocols used in IoT with the detailed analysis. The computing paradigms like Cloud, Cloudlet, Fog, and Edge computing facilitate IoT with various services like data offloading, resource and device management, etc. In this paper, an exhaustive analysis of Edge Computing in IoT with different edge computing architectures and existing status are deliberated. The widespread adoption of IoT in society has resulted in privacy and security issues. This paper emphasizes on analyzing the security challenges, privacy and security threats, conventional mitigation techniques, and further scope for IoT security. The features like fewer memory footprints, scheduling, real-time task execution, fewer interrupt, and thread switching latency of Real-Time Operating Systems (RTOS) enables the development of time critical IoT applications. Also, this review offers the analysis of the RTOS's suitable for IoT with the current status and networking stack. Finally, open research issues in IoT system development are discussed.

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Lightweight Quantum Encryption for Secure Transmission of Power Data in Smart Grid

Cited by 45 publications

References 22 publications

Data filter function incremental mining based on feature selection in an active distribution network

Data filter function incremental mining based on feature selection in an active distribution network

A Review of Quantum Key Distribution Protocols in the Perspective of Smart Grid Communication Security

An Empirical Study on System Level Aspects of Internet of Things (IoT)

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