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Updated: Jul 3, 2025

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物联网区块链:好处,挑战和未来的方向
Kamanashis Biswas1, Mohammad Jabed Morshed Chowdhury2, Muhammad Usman3
1Faculty of Law and Business, Australian Catholic University, Brisbane, QLD 4014, Australia.
Sensors (Basel, Switzerland)
|February 10, 2024
概括
物联网 (IoT) 产生了大量的数据,在管理方面带来了挑战. 本研究探讨了有效,安全和成本效益的解决方案,以处理来自连接设备的数据洪水.
科学领域:
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
- 电气工程 电气工程
背景情况:
- 物联网 (IoT) 设备的扩散需要强大的数据管理策略.
- 由于物联网数据的指数级增长,当前的数据处理方法面临着可扩展性和安全问题.
研究的目的:
- 调查和提出解决大规模物联网数据管理方面的挑战的解决方案.
- 提高物联网数据管理的效率,安全性和成本效益.
主要方法:
- 审查当前的物联网数据管理策略.
- 对物联网数据处理和存储技术的分析.
- 探索物联网数据的安全协议和成本优化模型.
主要成果:
- 确定当前物联网数据管理中的关键瓶.
- 评估各种数据处理方法的可扩展性和性能.
- 评估安全漏洞和成本影响.
结论:
- 有效的物联网数据管理需要采用多方面的方法.
- 优化数据处理,强大的安全性和成本意识的策略对于成功实施物联网至关重要.
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