物联网网络中用于中间人(MITM)攻击检测的混合路由

James Jin Kang, Kiran Fahd, S. Venkatraman, Rolando Trujillo-Rasua, P. Dowland
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引用次数: 19

摘要

公共和专用网络领域的5G和低功耗广域网(LPWAN)等经济实惠且可扩展的低功耗网络提高了网络带宽容量和处理性能。物联网(IoT)技术越来越受欢迎,为智能环境和健康相关应用开发了许多应用和设备。这引起了这些网络中的安全问题,因为许多物联网设备处理机密信息,如IP/MAC地址,这些信息可用于识别用户的位置。因此,存在被中间人(MITM)攻击篡改数据的漏洞,这种攻击具有两个可观察到的特征:(1)会话中存在可测量的延迟,(2)与之前的正常事务相比,具有不寻常的传输时间。为了改进对这些攻击的检测,本文提出了一种使用混合路由机制的新方案,该方案涉及指定专用节点来执行物联网设备和用户之间的路由,对网络的干预和工作量最小。具有更多计算和电池功率的专用设备的功能可以提供三个优势:(1)通过避免可疑节点和网络来确定网络内的安全路径;(2)为可信时间服务器(TTS)提供稳定的旅行时间(波动较小),以提高估计旅行时间的准确性;(3)为安全检查提供数据包检测。该解决方案通过实时检测入侵者,有助于提高物联网网络的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Routing for Man-in-the-Middle (MITM) Attack Detection in IoT Networks
Affordable and expandable low power networks such as 5G and Low Power Wide Area Networks (LPWAN) in the public and private network areas have improved network bandwidth capacities and processing performance. Internet of Things (IoT) technologies are increasing in popularity with numerous applications and devices being developed for smart environments and health-related applications. This raises security concerns in these networks, as many IoT devices handle confidential information such as IP/MAC addresses, which could be used to identify a user's location. As a result, there is vulnerability to data tampering by man-in-the-middle (MITM) attacks, which feature two observable characteristics: (1) there is a measurable delay in the session and (2) has unusual travel times compared to prior normal transactions. To improve the detection of these attacks, this paper proposes a novel scheme using a hybrid routing mechanism, which involves appointing dedicated nodes for enforcing routing between IoT devices and users with minimal intervention and workload to the network. The function of dedicated devices with more computational and battery power can provide three advantages: (1) determine secured paths within the network by avoiding suspicious nodes and networks, (2) provide stable travel times (less fluctuations) for a trusted time server (TTS) to improve the accuracy of estimated travel times, and (3) provide packet inspection for security checks. This proposed solution contributes towards increasing the security of IoT networks by enabling the real-time detection of intruders.
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