Research on a Shared Bicycle Deposit Management System Based on Blockchain Technology

Zhao, Daozhi; Wang, Di; Wang, Baosen

doi:10.1155/2020/8854082

Cited by 9 publications

(7 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Calculate the variance σ(X) 2 of the trust value of each step within m cycles and take the mean value of the variance σ(X) 2 . If σ 2 > σ(X) 2 , the user's access level will be lowered.…”

Section: Trust Evaluationmentioning

confidence: 99%

“…At present, communication technology is adopted to realize the interconnection between vehicles, roads, and data processing platforms and perform cloud processing on data. In the blockchain network [2], the decentralized features of the blockchain can effectively prevent the excessive centralization of data in the cloud and reduce the risk of database attacks. After the data are stored in the block, the traceable feature of the blockchain data can trace historical records such as user's identity authentication and vehicle's device fingerprint.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Zero-Trust-Based Protection Scheme for Users in Internet of Vehicles

Fang

Kang

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

At present, the Internet of Vehicles technology is developing rapidly, but in the process of networking it may be attacked by hackers. In view of the tampering attack on the user’s device and identity, we establish a multifactor authentication scheme to achieve dual identity authentication through device fingerprint authentication and PKI authentication. In response to the attack by hackers in the application of data transmission, we use the SM series of state secret algorithms for data encryption and take advantage of the immutable and decentralized characteristics of blockchain to ensure the security and integrity of data collection and transmission. Through the zero-trust security network architecture, the security level of the system in the process of data transmission is effectively improved, the identity-centered dynamic access control is carried out, the user’s behavior is monitored in real time, and the malicious nodes are screened and eliminated, which improves the stability and security of the Internet of Vehicles data transmission system. By adopting the identity authentication pass rate, fingerprint authentication pass rate, API authentication pass rate, and SPA packet transmission acceptance rate as the factor set, the evaluation level of the vehicles is calculated. The experimental results show that compared with the traditional boundary-centered security protection, our scheme can protect a wider range of application security, even if there are security problems, the loss is less. Through the training simulation of the convolutional neural network, the classification accuracy of the trust level is improved.

show abstract

Section: Trust Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Zero-Trust-Based Protection Scheme for Users in Internet of Vehicles

Fang

Kang

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Most bike-sharing operators no longer collect user deposits because the deposit fee is far more expensive than the service fee. Thus user deposits will substantially drive up users’ perceived cost, increasing the financial concern of users negatively impacting the perceived value of bike-sharing services ( Zhao et al, 2020 ). Based on the discussion above, we argue that if bike-sharing users’ perceived cost is higher, their perceived value will decrease.…”

Section: Overview Of the Researchmentioning

confidence: 99%

Increasing Bike-Sharing Users’ Willingness to Pay — A Study of China Based on Perceived Value Theory and Structural Equation Model

et al. 2022

View full text Add to dashboard Cite

Bike sharing, as an innovative travel mode featured by mobile internet and sharing, offers a new transport mode for short trips and has a huge positive impact on urban transportation and environmental protection. However, bike-sharing operators face some operational challenges, especially in sustainable development and profitability. Studies show that the customers’ willingness to pay is a key factor affecting bike-sharing companies’ operating conditions. Based on the theories of perceived value, this study conducts an empirical analysis of factors that affect bike-sharing users’ willingness to pay for bike-sharing through measurement scales, user surveys, and structural equation models. We designed a five-point Likert-type scale containing 11 latent variables affecting willingness to pay and a total of 34 measurement items. We investigate bike-sharing users in China’s first and second-tier cities, with a total of 502 participants. The results show that perceived value, payment awareness, trust, and environmental awareness constitute key factors that directly affect bike-sharing users’ willingness to pay. And perceived usefulness, perceived ease-of-use, perceived cost, and perceived risk indirectly affect bike-sharing users’ willingness to pay. However, we found no significant effects of perceived entertainment on perceived value or word of mouth on willingness to pay. Our results are expected to provide theoretical and practical implications for bike-sharing programs.

show abstract

“…Interpersonal communication is the most common and important way to transmit information, featuring timely feedback and individual interaction [22]. In today's society, interpersonal communication has risen to group communication, which has the characteristics of similar attributes and common goals.…”

Section: Optimization Of Marketing Strategy Of Film Companiesmentioning

confidence: 99%

Optimizing Film Companies’ Marketing Strategy Using Blockchain and Recurrent Neural Network Model

Liu

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

With the growing scale of the domestic film industry, the output of domestic films is also increasing. The design and execution problems in ticket marketing strategies adversely affect the revenue of domestic films. This paper aims to propose solutions to optimize film companies’ marketing strategies by analyzing the marketing environment and current situation to increase the income of domestic films. Firstly, the current situation of BJ’s marketing is analyzed, and the main problems are clarified. Secondly, the necessity and feasibility of applying blockchain technology to the operation and management of film companies are introduced. New marketing strategies and safeguards have been developed by analyzing the target market and optimizing the program. A quantitative method is used to predict a new movie’s box office in its premiere month. The proposed method introduces three factors affecting the box office: new film positioning, film marketing, and film prerating, as input variables. Besides, a Recurrent Neural Network (RNN) is implemented to predict the monthly box office of the premiere of new films. The results show that the predicted monthly box office of the movie adopting the optimized marketing strategy is 1,451,718.6 CNY, which is smaller than the target box office of 1414029.8. The Mean Absolute Error (MAE) is only 0.026. The proposed model’s Root Mean Square Error (RMSE) is 0.45 for the long-term prediction of a single movie price. The MAE is 0.106, and the accuracy is 0.80. The model proposed beats the unimproved Long Short-Term Memory (LSTM) model and the Autoregressive Moving Average (ARMA) model. This paper provides a reference for optimizing the film company’s marketing system.

show abstract

Research on a Shared Bicycle Deposit Management System Based on Blockchain Technology

Cited by 9 publications

References 47 publications

Zero-Trust-Based Protection Scheme for Users in Internet of Vehicles

Zero-Trust-Based Protection Scheme for Users in Internet of Vehicles

Increasing Bike-Sharing Users’ Willingness to Pay — A Study of China Based on Perceived Value Theory and Structural Equation Model

Optimizing Film Companies’ Marketing Strategy Using Blockchain and Recurrent Neural Network Model

Contact Info

Product

Resources

About