A Blockchain Based Secure Data Transmission Mechanism for Electric Company

Wang, Ping; Hu, Cong; Xu, Min

doi:10.1007/978-981-15-2810-1_48

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the rapid development of big data and artificial intelligence technology, blockchain technology is being used more and more widely in network security [5]. With a partitioned data management structure, data are divided into different regions, and detailed contract mechanisms are formulated so that each node in the computer system can operate and interact independently, making it easy for users to independently query and store data, reflecting the characteristics of decentralization.…”

Section: Decentralizationmentioning

confidence: 99%

“…For example, technicians can use the blockchain identity management platform for auditing the ID or DID of online transaction users, compare the data with the registration information of users on the platform, and identify the user identity, so as to avoid the theft of user identity and the theft of funds, thus ensuring the security of users' online transactions. Secondly, technicians can use blockchain technology to create a new business model, build a small and micro payment platform, carry out quick micro settlement business between different networking devices, attract more merchants to join the Internet of Things, embed blockchain technology, simplify the transaction process of each merchant in the Internet of Things, reduce the operating cost of the Internet of Things, and ensure the security of each user's network transactions 5 .…”

Section: Ensuring the Security Of The Internet Of Things And Ensuring...mentioning

confidence: 99%

See 1 more Smart Citation

Attention-fused recurrent neural networks for DDoS attack detection based on blockchain technology

zixin

2023

Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023)

View full text Add to dashboard Cite

With the advent of the "Internet +" era, network viruses, hacker attacks, and personal data breaches have gradually become the cybersecurity issues that people are concerned about. Blockchain technology has the advantages such as decentralization, immutability, and smart contracts. It can be used in network infrastructure protection to prevent computers from being hacked illegally, ensuring the integrity and security of users' personal data. In this paper, we propose a DDoS attack detection method based on the attention mechanism of LSTM that involves using a deep learning model to analyze network traffic data and identify DDoS attacks, named A-LSTM. The attention mechanism in LSTM helps to focus on the most important features in the data, which are critical for accurate DDoS attack detection. This method has the potential to improve the accuracy of DDoS attack detection compared to traditional methods by leveraging the powerful pattern recognition capabilities of deep learning models.

show abstract

Section: Decentralizationmentioning

confidence: 99%

Section: Ensuring the Security Of The Internet Of Things And Ensuring...mentioning

confidence: 99%

Attention-fused recurrent neural networks for DDoS attack detection based on blockchain technology

zixin

2023

Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023)

View full text Add to dashboard Cite

show abstract

Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization

et al. 2023

View full text Add to dashboard Cite

Mining digitalisation have been receiving significant attention due to the utilisation of advanced technologies, such as IoT, automation, and sensing. However, maximising the potential value of collected data in the mining industry remains a challenge. Therefore, this paper aims to review timely concern topics to facilitate the fusion implementation in mining engineering. Specifically, this review covers recent popular topics, such as, data visualisation, data management, data analytics, data fusion, visual analytics, and mining digital twin construction. In this paper, we aim to draw a comprehensive picture about the fusion of data visualisation and analytics in the big data context, by examining the recent academic research related to these topics. Therefore, this paper reviews the visualisation domain by conventional classification, including scientific visualisation, information visualisation, and visual analytics, associated with the analysis of current digital twin development. Next, according to the challenges and issues related to visualisation development, this paper reviews the data management and data analytics domains as well. Incorporating with the fusion concept, machine learning-oriented fusion applications and potential scenarios in the mining industry have been discussed. In addition, based on the observation across various domains, this paper presents challenges and future potentials of data fusion in mining.INDEX TERMS mining digitalisation, data management, data analytics, data visualisation, and data fusion I. INTRODUCTION

show abstract

A Blockchain Based Secure Data Transmission Mechanism for Electric Company

Cited by 2 publications

References 8 publications

Attention-fused recurrent neural networks for DDoS attack detection based on blockchain technology

Attention-fused recurrent neural networks for DDoS attack detection based on blockchain technology

Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization

Contact Info

Product

Resources

About