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RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks

Smart Devices Security Enhancement via Power Supply Monitoring

Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece
Cyber Security Munich (CSM), NOKIA Bell Labs, 81541 Munich, Germany
Authors to whom correspondence should be addressed.
This paper is an extended version of our paper published in proceedings of 2019 15th International Conference on Distributed Computing in Sensor Systems, titled “Monitoring Supply Current Thresholds for Smart Device’s Security Enhancement”.
Future Internet 2020, 12(3), 48;
Received: 21 January 2020 / Revised: 4 March 2020 / Accepted: 7 March 2020 / Published: 10 March 2020
(This article belongs to the Special Issue Security and Reliability of IoT---Selected Papers from SecRIoT 2019)
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. View Full-Text
Keywords: internet of things; hardware security; anomaly detection; smart device; current monitoring; physical characteristics internet of things; hardware security; anomaly detection; smart device; current monitoring; physical characteristics
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MDPI and ACS Style

Myridakis, D.; Spathoulas, G.; Kakarountas, A.; Schinianakis, D. Smart Devices Security Enhancement via Power Supply Monitoring. Future Internet 2020, 12, 48.

AMA Style

Myridakis D, Spathoulas G, Kakarountas A, Schinianakis D. Smart Devices Security Enhancement via Power Supply Monitoring. Future Internet. 2020; 12(3):48.

Chicago/Turabian Style

Myridakis, Dimitrios, Georgios Spathoulas, Athanasios Kakarountas, and Dimitrios Schinianakis. 2020. "Smart Devices Security Enhancement via Power Supply Monitoring" Future Internet 12, no. 3: 48.

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