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对完全同型和基于属性的加密方案进行比较性性能分析.
Kirti Dinkar More1, Dhanya Pramod2
1Symbiosis Centre for Research and Innovation (SCRI), Symbiosis International (Deemed University), Pune, India.
Scientific reports
|October 9, 2025
概括
本研究介绍了一种用于智能城市环境监控的新型模拟模型,集成基于属性的加密 (ABE) 和完全同型加密 (FHE). FA-FEO模型确保了安全,节能的物联网通信,同时解决了隐私问题.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 网络工程 网络工程
背景情况:
- 物联网 (IoT) 能够有效收集数据,但在安全数据传输,能源限制和隐私保护方面面临挑战.
- 分散的物联网网络需要强大的数据安全和隐私解决方案来实现无通信.
- 智慧城市环境监测需要高效和安全的数据处理.
研究的目的:
- 提出和评估一个新的模拟模型,FA-FEO,整合基于属性的加密 (ABE) 和完全同型的加密 (FHE) 智能城市环境监控.
- 用FHE,CP-ABE,KP-ABE和BASE加密来评估物联网网络通信的性能.
- 展示ABE和FHE在实际智能城市应用中的重要性.
主要方法:
- 在NS-2环境中开发FHE和ABE与快速指数优化 (FA-FEO) 模拟模型.
- 评估关键性能指标,包括吞吐量,延迟,内存利用率和功耗.
- 在不同的加密方案下对物联网网络性能进行比较分析:FHE,CP-ABE,KP-ABE和BASE.
主要成果:
- FA-FEO模型有效地集成了ABE和FHE,用于智能城市环境监测.
- 模拟表明ABE和FHE对于实际智能城市应用的重要性.
- 拟议的模型证明了管理FHE和ABE开销的可行性,确保安全和节能解决方案.
结论:
- FA-FEO模型提供了一种可行的方法来克服物联网网络中与FHE和ABE相关的开销.
- ABE和FHE的整合对于实现安全,私有和节能智能城市环境监测至关重要.
- 该研究证实了FA-FEO在智能城市场景中的实际实施潜力.
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