Secure and efficient mutual authentication protocol for smart grid under blockchain

Wang, Weizheng; Huang, Huakun; Zhang, Lejun; Su, Chunhua

doi:10.1007/s12083-020-01020-2

Cited by 115 publications

(70 citation statements)

References 24 publications

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“…There are some novel applications of Blockchain and some are briefly reviewed, for example, authors in [158] claim that fusion of Blockchain technology in existing deployed cloud solution can reform cloud data centers in terms of their performance enhancement and security. Authors in [177], recently proposed the use of Blockchain for identity authentication issues in the smart grid through a secure and mutual authentication protocol. Similarly, in [179] authors first highlight the potential security threat on smart grid infrastructure and then propose a Blockchain-based lightweight authentication protocol for the smart grid.…”

Section: Architecture Of Blockchain 30 (Blockchain Applications)mentioning

confidence: 99%

A Survey on Blockchain Technology: Evolution, Architecture and Security

et al. 2021

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Blockchain is a revolutionary technology that is making a great impact on modern society due to its transparency, decentralization, and security properties. Blockchain gained considerable attention due to its very first application of Cryptocurrencies e.g., Bitcoin. In the near future, Blockchain technology is determined to transform the way we live, interact, and perform businesses. Recently, academics, industrialists, and researchers are aggressively investigating different aspects of Blockchain as an emerging technology. Unlike other Blockchain surveys focusing on either its applications, challenges, characteristics, or security, we present a comprehensive survey of Blockchain technology's evolution, architecture, development frameworks, and security issues. We also present a comparative analysis of frameworks, classification of consensus algorithms, and analysis of security risks & cryptographic primitives that have been used in the Blockchain so far. Finally, this paper elaborates on key future directions, novel use cases and open research challenges, which could be explored by researchers to make further advances in this field.

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Section: Architecture Of Blockchain 30 (Blockchain Applications)mentioning

confidence: 99%

A Survey on Blockchain Technology: Evolution, Architecture and Security

et al. 2021

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“…It would be valuable to develop a more comprehensive model that can provide additional information on other protein types and functions [41]. Finally, we believe it would also be interesting to extend this work to recent research topics in machine learning such as interpretability [42,43] and security [44][45][46][47].…”

Section: Plos Onementioning

confidence: 99%

Protein transfer learning improves identification of heat shock protein families

et al. 2021

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Heat shock proteins (HSPs) play a pivotal role as molecular chaperones against unfavorable conditions. Although HSPs are of great importance, their computational identification remains a significant challenge. Previous studies have two major limitations. First, they relied heavily on amino acid composition features, which inevitably limited their prediction performance. Second, their prediction performance was overestimated because of the independent two-stage evaluations and train-test data redundancy. To overcome these limitations, we introduce two novel deep learning algorithms: (1) time-efficient DeepHSP and (2) high-performance DeeperHSP. We propose a convolutional neural network (CNN)-based DeepHSP that classifies both non-HSPs and six HSP families simultaneously. It outperforms state-of-the-art algorithms, despite taking 14–15 times less time for both training and inference. We further improve the performance of DeepHSP by taking advantage of protein transfer learning. While DeepHSP is trained on raw protein sequences, DeeperHSP is trained on top of pre-trained protein representations. Therefore, DeeperHSP remarkably outperforms state-of-the-art algorithms increasing F1 scores in both cross-validation and independent test experiments by 20% and 10%, respectively. We envision that the proposed algorithms can provide a proteome-wide prediction of HSPs and help in various downstream analyses for pathology and clinical research.

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“…The research on Blockchain itself has increased during this period. At present, Blockchain has entered the industrial landing stage, which has inspired a large number of applications based on Blockchain technology, such as smart grid [89], smart city [90] and healthcare [91].…”

Section: ) Cluster 3 (Yellow): Blockchain's Characteristics and Applicationsmentioning

confidence: 99%

“…Users should first conduct identity authentication for cloud data users and then obtain the required services from the Cloud [140]. And in 2020, the research on authentication has expanded to multiple aspects such as mutual authentication [89], authentication scheme [141] and fog computing [142]. The research on it has continued from the third period to the fourth period and has gradually matured.…”

Section: ) Cloudmentioning

confidence: 99%

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

Luo

Bai

2021

IEEE Access

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As one of the disruptive technologies in the fourth industrial revolution, Blockchain has irrevocably changed how people live and work. Many scholars have studied the Blockchain, and the number of related publications has increased over time. Bibliometrics is an excellent method to study the development trend of a specific field. However, few scholars have used bibliometrics to research Blockchain; the inheritance and evolution among its different research themes have not yet been fully understood. This study emphasizes the scientific evolution and research focus of Blockchain through bibliometric analysis. We analyzed 2993 publications from 2014 to 2020 using co-word analysis and cluster analysis with bibliometric tools such as the SciMAT. The most productive author, country, institutions and leading research areas were identified, outlining the Blockchain field's fundamental developments. The results show the changes in keywords regarding Blockchain summarize the research hotspots in different periods. The study discusses the evolution process of various themes in each period, providing a meaningful reference for scholars to identify research hotspots and future research directions in the Blockchain field.

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Secure and efficient mutual authentication protocol for smart grid under blockchain

Cited by 115 publications

References 24 publications

A Survey on Blockchain Technology: Evolution, Architecture and Security

A Survey on Blockchain Technology: Evolution, Architecture and Security

Protein transfer learning improves identification of heat shock protein families

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

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