在室内定位系统中对安全威胁和隐私问题的全面分析
Ayesha Ayub1, Zuhairiah Zainal Abidin2, Abdulraqeb Alhammadi3
1Advanced Telecommunication Research Center (ATRC), Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Johor, Malaysia.
Scientific reports
|December 11, 2025
概括
室内定位系统 (ILS) 面临安全和隐私风险,如伪造和干扰. 本综述分析了安全ILS应用程序的防御,挑战和权衡.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 无处不在的计算无处不在的计算
背景情况:
- 室内定位系统 (ILS) 在医疗保健,智能建筑和物流方面越来越重要.
- ILS的扩散扩大了重要的安全和隐私漏洞.
- 现有的研究往往忽视了在现实世界ILS部署中威胁和防御的复杂相互作用.
研究的目的:
- 综合分析当前室内定位系统 (ILS) 中的安全和隐私问题.
- 评估各种防御策略,包括联合学习,对抗性机器学习和加密协议.
- 检查ILS中隐私,准确性和效率之间的内在权衡,考虑实际挑战.
主要方法:
- 系统审查最近 (过去五年) 关于ILS安全和隐私的文献.
- 对敌对威胁的分析,如伪造,信号干扰和复杂的攻击.
- 探索防御机制及其有效性和局限性.
主要成果:
- 确定了关键风险,包括伪造,信号干扰和ILS中的对抗性攻击.
- 评估防御策略的有效性和限制,如联合学习和加密协议.
- 突出挑战包括非独立和相同分布 (非IID) 数据,能源效率和可扩展性.
结论:
- 对ILS安全性和隐私的全面理解对于广泛采用至关重要.
- 在实践ILS中,平衡隐私,准确性和效率仍然是一个重大挑战.
- 本综述提供了对ILS中不断变化的对抗性威胁的最先进防御方法的见解.
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