在大型私人网络中,基于区块链的交易数据的隐私和安全模型用于交易数据
Bello Musa Yakubu1, Jamilu Sabi'u2, Pattarasinee Bhattarakosol3
1Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
本研究介绍了大型私人网络的安全架构,使用区块链和数字证书来保护交易数据隐私. 新模型显著提高了数据安全性,并加快了加密和解密过程.
科学领域:
- 网络物理系统安全 网络物理系统安全
- 网络隐私架构 网络隐私架构
- 区块链在网络中的应用
背景情况:
- 网络物理系统是现代通信的组成部分,在大型私有网络中连接物理设备.
- 建立这些网络的一个关键挑战是保护交易数据隐私免受复杂的对抗性利用.
- 现有的解决方案往往无法为敏感交易数据提供强大,端到端的安全性.
研究的目的:
- 提出一种新的隐私保护架构,用于在大型私人网络中保护交易数据.
- 增强用户交易数据在传输和节点对节点交互期间的安全性和隐私性.
- 提高这些网络中的数据加密和解密流程的效率.
主要方法:
- 实施一个保护隐私的架构,整合数字证书和基于RSA的公钥基础设施.
- 利用区块链技术确保数据完整性,真实性和安全来源.
- 进行安全和性能分析,以验证拟议模型的有效性.
主要成果:
- 拟议的模型显示了加密速度 (约17倍) 和解密速度 (4倍) 的显著增加.
- 总体平均加速达到了16.5,这表明性能有了显著的改善.
- 安全分析证实了该模型在网络通信期间保护数据完整性和来源的能力.
结论:
- 开发的架构有效地减轻大型私人网络中的交易数据隐私风险.
- 与现有方法相比,区块链和PKI的整合提供了更安全,更有效的解决方案.
- 这些发现支持了拟议的模型适用于提高网络物理系统和私人网络的安全性.
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