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物联网网络中的可靠本地化:对本地化技术,威胁和缓解措施的调查
Giovanni Pettorru1,2, Virginia Pilloni1,2, Marco Martalò1,2
1Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
本研究探讨了物联网 (IoT) 的本地化技术,重点是信号处理和安全. 它对算法进行分类并分析攻击,以指导安全的物联网系统开发.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络安全 网络安全
背景情况:
- 物联网 (IoT) 连接了数十亿台设备,实现了上下文感知应用程序.
- 基于位置的服务 (LBS) 利用地理数据在物联网中提供个性化的用户体验.
- 安全和隐私是LBS授权物联网应用程序的关键问题.
研究的目的:
- 对物联网本地化技术进行深入检查.
- 分析信号处理设计和这些技术的安全方面.
- 引导研究人员开发安全可靠的物联网本地化系统.
主要方法:
- 专注于主动无线电定位技术.
- 将算法分为基于范围的,无范围的和混合的方法.
- 探索安全考虑,包括常见的攻击和缓解策略.
主要成果:
- 用于物联网的活跃无线电定位算法的分类.
- 识别普遍存在的安全漏洞和针对物联网本地化方法的攻击.
- 审查提议的解决方案,以提高LBS授权物联网应用程序的安全性.
结论:
- 对物联网本地化技术的全面理解对于推进LBS至关重要.
- 从设计阶段解决安全挑战对于值得信赖的物联网系统至关重要.
- 这项调查为未来的安全物联网本地化研究提供了路线图.
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