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在使用混合模糊逻辑分析方法的异质IoMT设备中进行风险评估和攻击检测
Pritika1, Bharanidharan Shanmugam1, Sami Azam1
1Energy and Resource Institute, Faculty of Science and Technology, Charles Darwin University, Darwin, NT 0810, Australia.
本研究引入了混合模糊逻辑和模糊分析层次过程 (FAHP) 方法来评估医疗物联网 (IoMT) 设备安全风险. 它将智能手表确定为注入攻击的高风险,指导有针对性的安全增强.
科学领域:
- 医疗保健中的网络安全
- 医疗设备安全 医疗设备安全
- 风险评估方法 风险评估方法
背景情况:
- 医疗物联网 (IoMT) 提供个性化的医疗保健,但引入了重要的安全漏洞.
- 不同类型的IoMT设备需要全面的风险评估,因为其功能,协议和固有的弱点各不相同.
- 现有的安全措施可能无法充分解决互联医疗器械的复杂威胁环境.
研究的目的:
- 开发和验证使用模糊逻辑和模糊分析层次过程 (FAHP) 的IoMT设备的混合风险评估模型.
- 量化和优先考虑与不同IoMT设备和攻击载体相关的安全风险.
- 提供有关IoMT安全实施的知情决策的框架.
主要方法:
- 在风险评估中采用了结合模糊逻辑和FAHP的混合方法.
- 定义了包括发生频率,后果严重程度和权重因素在内的定性描述因素.
- 进行了一项涉及蓝牙低能耗 (BLE) 攻击氧计,智能手表和智能峰值流量计的案例研究.
主要成果:
- 通过FAHP方法,成功计算了模糊权重和风险级别,使得安全问题可以优先考虑.
- 智能手表对注射攻击的高风险水平为8.57,需要立即关注.
- 干扰攻击呈现最低的风险级别 (1),表明与其他威胁相比优先级较低.
结论:
- 提出的基于FAHP的风险评估有效评估IoMT的安全威胁,帮助开发人员和研究人员.
- 调查结果突出了智能手表等特定设备的关键漏洞,指导了针对性安全措施的实施.
- 这种方法有助于医疗保健决策者了解风险因素对强大的IoMT安全性的相对重要性.
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