Abstract
The advent of the Internet of Things (IoT) allows the Cyber-Physical System (CPS) components to communicate with other devices, and to interact with safety-critical systems, posing new research challenges in security, privacy, and reliability. Efficient power measurement in smart IoT devices has become one of the key research topics. In this paper, we design and develop a CPS to detect IoT security threats via behavioral power profiling of a heterogeneous wireless sensor device using a Raspberry Pi and a smartphone. Experimentation and verification have been conducted on a group of smart IoT devices with different test scenarios, including the device in an idle and active state with distributed denial-of-service (DDoS) and a man-in-the-middle (MitM) attack. We propose to use the device power consumption rate to predict and detect a security threat using statistical signal processing and multivariate regression model. The proposed system can detect a potential security threat with an average accuracy of 80% and a device high of 89%.
Highlights
Internet of Things (IoT) devices in smart homes have become increasingly vulnerable to numerous security and privacy threats [3,4,5,6,7]
In [29], the authors present an example of the increasing demand for power consumption and efficiency-measuring platforms for different IoT devices
It is one example of interference from nearby radio frequency (RF) equipment that leads to increased packet loss, which, in turn, leads to improper results in power consumption
Summary
The interconnecting cyber and physical worlds give rise to new risky security challenges. Between 2019 and 2030 the number of IoT connected devices in the world will grow from 7.6 billion to 24.1 billion, with revenue more than tripling from $465 billion to over $1.5 trillion. Those are the headline figures of the IoT Total Addressable Market (TAM) forecasts published by Transforma Insights in May 2020 [9]. The largest applications are Security, Electricity Smart Meters, Payment Processing (i.e. card payment machines), and consumer electronics in the form of a Personal-Portable Electronics and AV Equipment. All of these have revenues of over USD50 billion in 2025 [9]. Aside from the technical aspects, users contribute to the devices’ vulnerability to threats [19,20,21]
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