A multi-dimension traceable privacy-preserving prevention and control scheme of the COVID-19 epidemic based on blockchain

Yao, Shixiong; Jing, Pujie; Li, Pei; Chen, Jiageng

doi:10.1080/09540091.2022.2077912

Cited by 7 publications

(3 citation statements)

References 28 publications

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“…It has an effective role in preventing tampering with health code information and improving the traceability of the virus transmission chain. Attribute encryption can protect residents' private information and achieve fine-grained access control (Yao et al, 2022). Integrating blockchain technology into existing enterprise environments can improve the security of enterprise Internet of Things (IoT) information, resist IoT attacks, and play a maintenance role (Stodt et al, 2021).…”

Section: Btmentioning

confidence: 99%

Ciphertext Database Audit Technology Under Searchable Encryption Algorithm and Blockchain Technology

Jin¹

2022

Journal of Global Information Management

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The study aims to solve the problems in auditing ciphertext data, improve audit efficiency, and increase the security of audit data in the audit server. First, the existing encryption algorithms are analyzed. Second, the searchable encryption algorithm is proposed to audit the ciphertext data, and an audit server scheme is made based on blockchain technology (BT). Finally, the two schemes are compared with the traditional audit technology. The results show that the server's inspection efficiency of the searchable encryption algorithm is higher.

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Section: Btmentioning

confidence: 99%

Ciphertext Database Audit Technology Under Searchable Encryption Algorithm and Blockchain Technology

Jin¹

2022

Journal of Global Information Management

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“…As special use case of healthcare, there are blockchainenabled EHR management systems specially designed for COVID-19 pandemic [196,197] . Tan et al [198] proposed a traceable COVID-19 record sharing system powered by blockchain where a security game (IND-CPA) is built in the system to achieve attack resistance.…”

Section: Blockchain For Heath Information Management In Covid-19mentioning

confidence: 99%

Recent Advances of Blockchain and Its Applications

2022

J. Soc. Comput.

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Blockchain is an emerging decentralized data collection, sharing, and storage technology, which have provided abundant transparent, secure, tamper-proof, secure, and robust ledger services for various realworld use cases. Recent years have witnessed notable developments of blockchain technology itself as well as blockchain-enabled applications. Most existing surveys limit the scopes on several particular issues of blockchain or applications, which are hard to depict the general picture of current giant blockchain ecosystem.In this paper, we investigate recent advances of both blockchain technology and its most active research topics in real-world applications. We first review the recent developments of consensus and storage mechanisms and communication schema in general blockchain systems. Then extensive literature review is conducted on blockchain-enabled Internet of Things (IoT), edge computing, federated learning, and several emerging applications including healthcare, COVID-19 pandemic, online social network, and supply chain, where detailed specific research topics are discussed in each. Finally, we discuss the future directions, challenges, and opportunities in both academia and industry.

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“…To overcome the earlier restrictions, learning word embedding has been recommended in several recent kinds of research [7,28,30]. A thick real-valued vector called word embedding, which considers different lexical relationships, is produced by a neural language model [31,33]. As a result, deep neural networks (DNN) frequently use word embedding as their input in existing NLP works.…”

Section: Introductionmentioning

confidence: 99%

Aspect-based Text Classification for Sentimental Analysis using Attention mechanism with RU-BiLSTM

Yelisetti,

Nellore Geethanjali

2023

SCPE

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Sentiment analysis has gained increasing attention from an educational and social perspective with the huge expansion of user interactions due to the Web’s significant improvement. The connection between an opinion target’s polarity scores and other aspects of the content is defined by aspect-based sentiment analysis. Identifying aspects and determining their different polarities is quite complicated because they are frequently implicit. To overcome these difficulties, efficient hybrid methods are used in aspect-based text classification in sentiment analysis. The existing process evaluates the aspects of polarity by using a Convolutional neural network, and it does not work with Big data. In this work, aspect-based text classification and attention mechanisms are used to assist in filtering out irrelevant information and quickly locating the essential features in big data. Initially, the data is collected, and then the data is preprocessed by using Tokenization, Stop word removal, Stemming, and Lemmatization. After preprocessing, the features are vectorized and extracted using Bag-of-Words and TF-IDF. Then, the extracted features are given into word embeddings by GloVe and Word2vec. It uses Deep Recurrent based Bidirectional Long Short Term Memory (RUBiLSTM) for aspect-based sentiment analysis. The RU-Bi-LSTM method integrates aspect-based embeddings and an attention mechanism for text classification. The attention mechanism focuses on more crucial aspects and the bidirectional LSTM to maintain context in both ways. Finally, the binary and ternary classification outcomes are obtained using the final dense softmax output layer. The proposed RU-BiLSTM uses four reviews and two Twitter datasets. The results of the studies demonstrate the efficacy of the RU-BiLSTM model, which outperformed aspect-based classifications on lengthy reviews and short tweets in terms of evaluation.

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A multi-dimension traceable privacy-preserving prevention and control scheme of the COVID-19 epidemic based on blockchain

Cited by 7 publications

References 28 publications

Ciphertext Database Audit Technology Under Searchable Encryption Algorithm and Blockchain Technology

Ciphertext Database Audit Technology Under Searchable Encryption Algorithm and Blockchain Technology

Recent Advances of Blockchain and Its Applications

Aspect-based Text Classification for Sentimental Analysis using Attention mechanism with RU-BiLSTM

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