智能停车系统在使用多交易模式联盟区块链保护隐私方面的效率
Amu Durairaj1, Santhi Baskaran2, Adithya Baskaran3
1Department of CSE, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India.
Scientific reports
|November 27, 2025
概括
司机现在可以在不透露敏感位置数据的情况下找到停车场. 一个新的保护隐私的智能停车系统使用联盟区块链和量子签名来实现安全,高效和匿名的停车预订.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 城市规划 城市规划
背景情况:
- 城市中车辆密度的增加导致交通拥堵和污染.
- 当前的智能停车系统通常需要敏感的用户数据,这引发了隐私问题.
- 集中式智能停车解决方案易受单点故障和隐私侵犯的影响.
研究的目的:
- 提出一个高效且保护隐私的智能停车系统.
- 通过使用多交易模式联盟区块链来增强驾驶员位置隐私.
- 为了确保安全和匿名的停车位预订.
主要方法:
- 实施一个涉及停车场所有者的多交易模式联盟区块链.
- 开发一个私人信息检索计划,以秘密访问停车场的报价.
- 集成一个轻量化量子盲签名用于匿名身份验证.
主要成果:
- 拟议的系统有效地保护了司机的敏感信息和位置隐私.
- 实现了最小化的通信和计算开销.
- 该系统在停车位预订中展示了增强的安全性和匿名性.
结论:
- 开发的私人信息检索方案为保护隐私的智能停车提供了卓越的解决方案.
- 联盟区块链和量子盲签名为安全的城市流动提供了强大的框架.
- 这种方法通过优先考虑用户隐私和系统效率来解决现有的智能停车解决方案的局限性.
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