Security and Fault Detection in In-node components of IIoT Constrained Devices

Raposo, Duarte; Rodrigues, André; Sinche, Soraya; Silva, Jorge Sá; Boavida, Fernando

doi:10.1109/lcn44214.2019.8990697

Cited by 5 publications

(5 citation statements)

References 19 publications

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“…Additionally, this architecture was used to conduct two new studies on fault detection and security. The first study aims at detecting operation anomalies originated in firmware and hardware through parameters like high temperature, buffer overflow attacks, SPI faults, and undervoltage [32]. The second study explores vulnerabilities in WirelessHART, and uses the One-Class Support Vector Machines machine learning approach to detect attacks like jamming and collision [23].…”

Section: B Iiot Management Solutionsmentioning

confidence: 99%

An IIoT-Based Approach to the Integrated Management of Machinery in the Construction Industry

et al. 2023

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In recent years, considerable advances in connecting industrial equipment to the Internet allowed a higher level of operational efficiency, productivity, and automation. Nevertheless, the construction industry still presents challenging requirements, like long-distance wireless communication, interconnection of out-ofcoverage areas, constant mobility of machinery, and support for legacy and proprietary systems. All these requirements pose different challenges when compared with traditional smart factory Industry 4.0 solutions. This paper discusses some of the current key questions regarding fleet management in the construction industry, identifies requirements for heavy-duty machinery, and proposes an Industrial Internet of Things (IIoT)-based solution for the integrated monitoring of such machinery. Also, it proposes and presents an open, innovative solution for the integrated management of non-standardized civil construction vehicle technologies. The developed prototype uses the J1939 protocol to collect machinery status and Long-Range Wide Area Network (LoRaWAN) to communicate the monitored data. The solution was assessed at the construction site of the new port of Sines in Portugal. A detailed description of the proposed system is provided, along with information on trials and evaluation results regarding its performance. Additionally, the paper provides insights into open issues and challenges in this field and how our solution can contribute to overcoming them.

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Section: B Iiot Management Solutionsmentioning

confidence: 99%

An IIoT-Based Approach to the Integrated Management of Machinery in the Construction Industry

et al. 2023

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“…Several works have been presented in the last years that incorporate such node-level information in their approach, but so far most of them use rather simple checks based on the remaining battery charge (measured by the battery voltage level) or the nodes' link status (e.g., received signal strength indicator (RSSI) or signal-to-noise ratio (SNR); [18,52,53]). In case the nodes are running an operating system (OS) also metrics such as the central processing unit (CPU) load (i.e., number of cycles executed by the MCU), the memory consumption, or the execution time available from the OS have been included in the detection [54,55]. Aside from information already available in software, it is also possible to extend the sensor nodes with specific hardware for fault diagnosis, for example, using a secondary MCU that supervises the main MCU [56] or a current monitor that allows detecting faults specific to certain sensors [12].…”

Section: Local Self-diagnosismentioning

confidence: 99%

“…Some authors additionally took the passive hardware components required for proper functioning into their considerations [72,91]. Surprisingly, the majority of nodes found use linear voltage regulators [76,78,79,[82][83][84]87,88,94] or even no regulation at all [72,73,75,80,86,[91][92][93] instead of low-power DC/DC converters [54,74,77,81,85]. Especially if the battery is directly connected to the hardware components' supply rail unintended effects (including soft faults) can easily happen at the end of the battery life due to a (passive) undervolting of the components ( [7,64]).…”

Section: Energy-efficient Sensor Nodesmentioning

confidence: 99%

“…While energy efficiency was considered in almost all sensor node designs found in the literature review, node-level reliability by implementing self-diagnostic measures was only partially treated in two cases [54,84]. All other designs relied on the implementation of reliability measures (e.g., fault detection and/or tolerance) on a network level rather than the node level.…”

Section: Self-diagnostic Sensor Nodesmentioning

confidence: 99%

“…In the sensor nodes proposed by Raposo et al [54], a sensor node monitoring agent is deployed in the firmware of each sensor node that collects certain runtime metrics provided by the OS or the firmware such as the CPU load (i.e., number of cycles executed by the MCU), the execution time, and the energy consumed (based on the approach proposed in [16]). Aside from these data, no node-level self-diagnostics were applied.…”

Section: Self-diagnostic Sensor Nodesmentioning

confidence: 99%

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An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications

Widhalm

Goeschka

Kästner

2021

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In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques, however, consider the sensor data alone and neglect vital information from the nodes’ hard- and software. As a consequence, they can not distinguish between rare data anomalies caused by proper events in the sensed data on one side and fault-induced data distortion on the other side. In this paper, we contribute with a novel, open-source sensor node platform for monitoring applications such as environmental monitoring. For long battery life, it comprises mainly low-power components. In contrast to other sensor nodes, our platform provides self-diagnostic measures to enable active node-level reliability. The entire sensor node platform including the hardware and software components has been implemented and is publicly available and free to use for everyone. Based on an extensive and long-running practical experiment setup, we show that the detectability of node faults is improved and the distinction between rare but proper events and fault-induced data distortion is indeed possible. We also show that these measures have a negligible overhead on the node’s energy efficiency and hardware costs. This improves the overall reliability of wireless sensor networks with both, long battery life and high-quality data.

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Examining Security Aspects in Industrial‐Based Internet of Things

Jha

2022

The New Advanced Society

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Security and Fault Detection in In-node components of IIoT Constrained Devices

Cited by 5 publications

References 19 publications

An IIoT-Based Approach to the Integrated Management of Machinery in the Construction Industry

An IIoT-Based Approach to the Integrated Management of Machinery in the Construction Industry

An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications

Examining Security Aspects in Industrial‐Based Internet of Things

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