Blockchain based Sensor System Design For Embedded IoT

Praveena, B. J.; Arivazhagan, Naveen; Reddy, P. Vijaya Pal

doi:10.1080/08874417.2022.2155266

Cited by 4 publications

(2 citation statements)

References 77 publications

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“…These asset-limited sensor nodes now face increased security risks as a result of IoT's widespread adoption. Praveena et al [13] includes a comprehensive overview of the IoT, discussing its key features, enabling technologies, and potential applications in various domains such as healthcare, transportation, and smart cities. They highlighted the need for efficient communication protocols, scalable architectures, and security mechanisms to ensure the successful deployment and operation of IoT systems and suggested a blockchain-based trust management system (BBTM) to address the issue, wherein portable interface nodes would assess the reliability of IoT devices.…”

Section: Review Based On Internet Of Thingsmentioning

confidence: 99%

Hybrid Fuzzy Rule Algorithm and Trust Planning Mechanism for Robust Trust Management in IoT-Embedded Systems Integration

Reddy¹,

Padmaja²,

Mahdal

et al. 2023

Mathematics

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The Internet of Things (IoT) is rapidly expanding and becoming an integral part of daily life, increasing the potential for security threats such as malware or cyberattacks. Many embedded systems (ESs), responsible for handling sensitive data or facilitating secure online activities, must adhere to stringent security standards. For instance, payment processors employ security-critical components as distinct chips, maintaining physical separation from other network components to prevent the leakage of sensitive information such as cryptographic keys. Establishing a trusted environment in IoT and ESs, where interactions are based on the trust model of communication nodes, is a viable approach to enhance security in IoT and ESs. Although trust management (TM) has been extensively studied in distributed networks, IoT, and ESs, significant challenges remain for real-world implementation. In response, we propose a hybrid fuzzy rule algorithm (FRA) and trust planning mechanism (TPM), denoted FRA + TPM, for effective trust management and to bolster IoT and ESs reliability. The proposed system was evaluated against several conventional methods, yielding promising results: trust prediction accuracy (99%), energy consumption (53%), malicious node detection (98%), computation time (61 s), latency (1.7 ms), and throughput (9 Mbps).

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Section: Review Based On Internet Of Thingsmentioning

confidence: 99%

Hybrid Fuzzy Rule Algorithm and Trust Planning Mechanism for Robust Trust Management in IoT-Embedded Systems Integration

Reddy¹,

Padmaja²,

Mahdal

et al. 2023

Mathematics

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“…For instance, energy use in Bitcoin, a typical blockchain application, will soon exceed 7.67 GW annually, which is close to Austria's annual energy consumption (8.2 GW) [52]. Recent techniques for reducing energy consumption in blockchain include developing new blockchain-based system software [53][54][55], operating systems [56,57], hypervisors [16,58], and hardware [59,60]. While these approaches have yielded significant improvements in reducing energy consumption levels in blockchain, to the best of our knowledge, the solutions do not approach the problem from an algorithmic perspective.…”

Section: Optimizing Energy Consumption Of the Robotics Systemmentioning

confidence: 99%

Energy-Efficient Blockchain-Enabled Multi-Robot Coordination for Information Gathering: Theory and Experiments

Castellon,

Khatib,

Roy

et al. 2023

Electronics

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In this work, we propose a blockchain-based solution for securing robot-to-robot communication for a task with a high socioeconomic impact—information gathering. The objective of the robots is to gather maximal information about an unknown ambient phenomenon such as soil humidity distribution in a field. More specifically, we use the proof-of-work (PoW) consensus protocol for the robots to securely coordinate while rejecting tampered data injected by a malicious entity. As the blockchain-based PoW protocol has a large energy footprint, we next employ an algorithmically-engineered energy-efficient version of PoW. Results show that our proposed energy-efficient PoW-based protocol can reduce energy consumption by 14% while easily scaling up to 10 robots.

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Optimizing Agricultural Risk Management with Hybrid Block-Chain and Fog Computing Architectures for Secure and Efficient Data Handling

Malik,

Hussain,

Shah

et al. 2024

Studies in Computational Intelligence

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Blockchain based Sensor System Design For Embedded IoT

Cited by 4 publications

References 77 publications

Hybrid Fuzzy Rule Algorithm and Trust Planning Mechanism for Robust Trust Management in IoT-Embedded Systems Integration

Hybrid Fuzzy Rule Algorithm and Trust Planning Mechanism for Robust Trust Management in IoT-Embedded Systems Integration

Energy-Efficient Blockchain-Enabled Multi-Robot Coordination for Information Gathering: Theory and Experiments

Optimizing Agricultural Risk Management with Hybrid Block-Chain and Fog Computing Architectures for Secure and Efficient Data Handling

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