Analysis of Using Blockchain to Protect the Privacy of Drone Big Data

Lv, Zhihan; Qiao, Lei; Hossain, M. Shamim; Choi, Bong Jun

doi:10.1109/mnet.011.2000154

Cited by 124 publications

(44 citation statements)

References 12 publications

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“…Lv et al [27] constructed the fuzzy mean clustering algorithm theory based on objective function by using K-means and fuzzy theory in big data analysis technology, which can significantly reduce the network data transmission performance delay, change the path, and effectively inhibit the spread of congestion. Subsequently, Lv et al [28] used blockchain technology to study the privacy and security of UAV big data. e performance evaluation results show that the proposed UAV big data privacy protection scheme based on blockchain technology has low computing cost in key generation, encryption, and decryption.…”

Section: Results Analysis and Discussionmentioning

confidence: 99%

Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data

Yan¹,

De-jiang

2021

Mathematical Problems in Engineering

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The manufacturing industry has always been in the dominant position in the development of China’s national economy. The present industrial structure and development mode of the manufacturing industry are in a critical transformation period. This study aims to explore the problems in the management of manufacturing enterprises in the era of big data. Supplier management is the top priority of manufacturing enterprise management. Regarding the performance appraisal of manufacturing enterprises, the management data of large manufacturing enterprises are collected by questionnaire. 226 questionnaires are issued, and 203 valid questionnaires are collected. The performance appraisal management of manufacturing enterprises is analyzed based on the analytic hierarchy process (AHP) of fuzzy multicriteria decision-making, and the evaluation system of enterprise performance management is established. The results show that the average value of the four indexes of enterprise marketing management, enterprise research and development (R&D) support, enterprise R&D achievement transformation efficiency, and enterprise production innovation is higher than 3.731, indicating that large manufacturing enterprises quite support marketing, R&D, and production innovation. This exploration can provide a theoretical basis for improving the management innovation ability of manufacturing enterprises and also has great reference value for expanding the market competitiveness of manufacturing enterprises.

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Section: Results Analysis and Discussionmentioning

confidence: 99%

Evaluation of Enterprise Management Innovation in Manufacturing Industry Using Fuzzy Multicriteria Decision-Making under the Background of Big Data

Yan¹,

De-jiang

2021

Mathematical Problems in Engineering

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“…To calculate the PFI [30], after calculating the PFI of each parent [31], each node adds it to the value received from the parent and distributes it to all other nodes to determine the closed conduction index of each path. Node S then selects the path with the least possible value from the provided paths, and in this way, the malicious node G, which is a gray holes node that bypasses 50% of the packets, causing routing loss and loss.…”

Section: Proposed Security-aware Routing Methodsmentioning

confidence: 99%

Security-Aware Routing Protocol Based on Artificial Neural Network Algorithm and 6LoWPAN in the Internet of Things

Lu¹,

Li²,

Wang³

et al. 2022

Wireless Communications and Mobile Computing

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Today, with increasing information technology such as the Internet of Things (IoT) in human life, interconnection and routing protocols need to find optimal solution for safe data transformation with various smart devices. Therefore, it is necessary to provide an enhanced solution to address routing issues with respect to new interconnection methodologies such as the 6LoWPAN protocol. The artificial neural network (ANN) is based on the structure of intelligent systems as a branch of machine interference, has shown magnificent results in previous studies to optimize security-aware routing protocols. In addition, IoT devices generate large amounts of data with variety and accuracy. Therefore, higher performance and better data handling can be achieved when this technology incorporates data for sending and receiving nodes in the environment. Therefore, this study presents a security-aware routing mechanism for IoT technologies. In addition, a comparative analysis of the relationship between previous approaches discusses with quality of service (QoS) factors such as throughput and accuracy for improving routing mechanism. Experimental results show that the use of time-division multiple access (TDMA) method to schedule the sending and receiving of data and the use of the 6LoWPAN protocol when routing the sending and receiving of data can carry out attacks with high accuracy.

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“…Blockchain is a decentralized storage system that works without any central authority and stores data in the form of a list of blocks that are linked using the cryptographic hash of the previous block [ 19 ]. Data in the blockchain is stored in the form of blocks linked together to form an immutable chain.…”

Section: Research Methodology and Finding Appropriate Contentmentioning

confidence: 99%