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首页> 外文会议>IEEE Annual Computers, Software, and Applications Conference >Smart-Power: A Smart Cyber-Physical System to Detect IoT Security Threat through Behavioral Power Profiling
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Smart-Power: A Smart Cyber-Physical System to Detect IoT Security Threat through Behavioral Power Profiling

机译：Smart-Power：通过行为电源分析来检测IoT安全威胁的智能网络物理系统

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摘要

Recently, the security of heterogeneous Internet of Things (IoT) devices has become a major concern of every Wireless Sensor Network (WSN). Efficient power measurement in smart IoT devices has become one of the key research topics. Power optimization of current IoT technology allows the development of many IoT-based applications. In this paper, we design and develop a Cyber-Physical System (CPS) to detect IoT security threats via behavioral power profiling of a heterogeneous wireless sensor device using a smartphone. Experimentation and verification have been conducted on a sample of smart IoT devices with different test scenarios including the device in an Idle state, Active state, Idle, and Active with distributed denial-of-service (DDoS) attack, Idle, and Active with a man-in-the-middle (MitM) attack. We propose to use the device power consumption rate with and without attack to predict and detect a security threat using logistic regression techniques. The proposed system can detect a potential security threat with an average accuracy of 74% and a device high of 85%.
机译：最近，异构物联网（IoT）设备的安全性已成为每个无线传感器网络（WSN）的主要关注点。智能物联网设备中的有效功率测量已成为关键的研究主题之一。当前物联网技术的功率优化允许开发许多基于物联网的应用程序。在本文中，我们设计和开发了一个网络物理系统（CPS），以通过使用智能手机对异构无线传感器设备进行行为功率分析来检测IoT安全威胁。已针对具有不同测试场景的智能IoT设备样本进行了实验和验证，包括处于空闲状态，活动状态，空闲和活动且具有分布式拒绝服务（DDoS）攻击的设备，处于空闲状态且具有活动状态的设备。中间人（MitM）攻击。我们建议使用有无攻击的设备功耗率来使用Logistic回归技术预测和检测安全威胁。拟议的系统可以检测到潜在的安全威胁，平均准确度为74％，设备高度为85％。

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