保护数据和隐私:基于云的智能交通应用解决方案

IF 0.9 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Scalable Computing-Practice and Experience Pub Date : 2023-09-10 DOI:10.12694/scpe.v24i3.2381

Surjit Singha, Ranjit Singha

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引用次数: 0

摘要

云计算彻底改变了交通网络和智能交通系统之间的互动。然而，对基于云的解决方案的依赖引发了对安全和隐私的担忧。本文研究了在智能交通应用程序中保护数据和隐私的挑战，并强调了基于云的解决方案解决这些问题的潜力。组织可以通过采用加密、访问控制、威胁检测机制和隐私保护措施来保护敏感数据和用户隐私。采用这些基于云的解决方案将鼓励智能交通应用的广泛采用，同时为用户和利益相关者注入信心。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Protecting Data and Privacy: Cloud-based Solutions for Intelligent Transportation Applications

The interaction between transportation networks and intelligent transportation systems has been revolutionized by cloud computing. However, the reliance on cloud-based solutions raises security and privacy concerns. This article examines the challenges of safeguarding data and privacy in intelligent transportation applications and emphasizes the potential of cloud-based solutions to resolve these issues. Organizations can protect sensitive data and user privacy by employing encryption, access controls, threat detection mechanisms, and privacy protection measures. Adopting these cloud-based solutions will encourage the extensive adoption of intelligent transportation applications while infusing users and stakeholders with confidence.

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来源期刊

Scalable Computing-Practice and Experience COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： The area of scalable computing has matured and reached a point where new issues and trends require a professional forum. SCPE will provide this avenue by publishing original refereed papers that address the present as well as the future of parallel and distributed computing. The journal will focus on algorithm development, implementation and execution on real-world parallel architectures, and application of parallel and distributed computing to the solution of real-life problems.