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Smart Devices Security Enhancement via Power Supply Monitoring

机译:智能设备通过电源监控安全增强

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摘要

The continuous growth of the number of Internet of Things (IoT) devices and their inclusion to public and private infrastructures has introduced new applciations to the market and our day-to-day life. At the same time, these devices create a potential threat to personal and public security. This may be easily understood either due to the sensitivity of the collected data, or by our dependability to the devices’ operation. Considering that most IoT devices are of low cost and are used for various tasks, such as monitoring people or controlling indoor environmental conditions, the security factor should be enhanced. This paper presents the exploitation of side-channel attack technique for protecting low-cost smart devices in an intuitive way. The work aims to extend the dataset provided to an Intrusion Detection Systems (IDS) in order to achieve a higher accuracy in anomaly detection. Thus, along with typical data provided to an IDS, such as network traffic, transmitted packets, CPU usage, etc., it is proposed to include information regarding the device’s physical state and behaviour such as its power consumption, the supply current, the emitted heat, etc. Awareness of the typical operation of a smart device in terms of operation and functionality may prove valuable, since any deviation may warn of an operational or functional anomaly. In this paper, the deviation (either increase or decrease) of the supply current is exploited for this reason. This work aimed to affect the intrusion detection process of IoT and proposes for consideration new inputs of interest with a collateral interest of study. In parallel, malfunction of the device is also detected, extending this work’s application to issues of reliability and maintainability. The results present 100% attack detection and this is the first time that a low-cost security solution suitable for every type of target devices is presented.
机译:事物互联网数量(IOT)设备的持续增长及其向公共和私人基础设施引入了市场和日常生活的新员工。与此同时,这些设备会对个人和公共安全产生潜在的威胁。由于收集数据的灵敏度或我们对设备操作的可靠性,这可能很容易理解。考虑到大多数IOT设备具有低成本,并且用于各种任务,例如监控人或控制室内环境条件,应增强安全系数。本文提出了一种以直观方式保护低成本智能设备的侧通道攻击技术。该工作旨在扩展提供给入侵检测系统(ID)的数据集,以便在异常检测中获得更高的准确性。因此,随着提供给ID的典型数据,例如网络流量,传输的分组,CPU使用等,建议包括关于设备的物理状态和行为的信息,例如其功耗,电源电流,发射的电源热量等。在操作和功能方面,智能装置的典型操作的认识可能证明有价值,因为任何偏差可能会警告操作或功能异常。在本文中,为此原因利用了电源电流的偏差(增加或减少)。这项工作旨在影响物联网的入侵检测过程,并提出以对研究的抵押利益考虑利息的新投入。并行地,还检测到设备故障,将该工作的应用扩展到可靠性和可维护性问题。结果目前100%的攻击检测,这是第一次提出适合于各种类型的目标设备的低成本安全解决方案。

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