Smart Devices Security Enhancement via Power Supply Monitoring

Abstract

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.

Automated Penetration Testing Framework for Smart-Home-Based IoT Devices

“…Along with the concern for the safety of civilians, and their devices, these IoT devices can also be used as potential botnets to attack major digital infrastructures. Several such successful attacks have been reported and there has been an exponential increase in the number of attacks on the IoT every year [12]. Therefore, keeping these repercussions in mind, security testing of IoT devices is what is relevant and Above Figure 1 represents the connections between the components surrounding the architecture of smart homes.…”

Research on Data Security Detection Algorithm in IoT Based on K-means

“…Therefore, the data flow and data end-to-end delay at the network node can be used as one of the basis of network intrusion detection. The following is an analysis of the network intrusion detection method in this article [25].…”

Enhancing Security on IoT Devices via Machine Learning on Conditional Power Dissipation

“…Finally, the works in [9][10][11][12] by Myridakis et al study physical features, such as uninterrupted power supply and extract information that, in combination with thresholds or ranges of values, detects irregularities in IoT devices. These are the first attempts to implement an autonomous system capable of providing enhanced security at low-cost.…”

“…This article is an extension of the work [9][10][11][12] in conjunction with [13] and presents the exploitation of the SCA approach [14] for security reasons (white hacking). Initially, it applies SCA for monitoring the power dissipation of a targeted IoT device, capturing its electrical behavior and transforming it to data.…”