基于区块链和边缘计算的公众情绪分析的安全管理方法
IEEE transactions on cybernetics
|June 18, 2024
概括
本研究介绍了一种基于区块链的安全方法来分析公众意见,增强数据安全性,共享和可信度. 拟议的解决方案确保了处理和存储论数据的更可靠环境.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 社交计算社会计算
背景情况:
- 互联网和社交媒体增加了公众论分析的重要性.
- 目前的方法在数据安全,共享和可信度方面面临挑战,可能导致信息泄露和不准确的结果.
研究的目的:
- 为公众论分析提出一个安全的管理方法.
- 解决公众论数据中的数据安全,共享和信誉问题.
主要方法:
- 一个集团密钥管理框架,具有设备分组和数据安全的相互认证.
- 一个动态密钥生成算法,用于安全的数据共享.
- 一个集团密钥管理算法,用于管理集团密钥生命周期,以确保数据的可信性.
- 使用OpenEthereum进行模拟的区块链网络的实施.
主要成果:
- 拟议的解决方案有效地解决了数据安全,共享和信誉方面的问题.
- 模拟实验证实了解决方案的效率和可扩展性.
- 建立了一个更安全的公众论数据处理和存储环境.
结论:
- 开发的基于区块链的方法为安全的论分析提供了强大的解决方案.
- 该方法提高了公众论数据的可靠性和可信度.
- 该解决方案是高效的,可扩展的,适合于现实世界的应用.
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