Identification of trusted IoT devices for secure delegation

Khalil, Ushna; Awada, Ahmad; Abdel‐Aty, Abdel‐Haleem; Elhoseny, Mohamed; El-Soud, Mohamed W. Abo; Zeshan, Furkh

doi:10.1016/j.compeleceng.2021.106988

Cited by 17 publications

(8 citation statements)

References 11 publications

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“…Numerous others trusted models for selecting nodes to perform computation tasks have also been proposed, some of which are cloud-based and platform-dependent. In contrast, others concentrate on selecting individuals based on their trust values [39,40,41]. For instance, one model [42] is proposed for selecting trusted IoT devices for signature verification.…”

Section: Selection Of Trusted Nodesmentioning

confidence: 99%

A Context-Aware Information-Based Clone Node Attack Detection Scheme in Internet of Things

Hameed¹,

Garg²,

Amin³

et al. 2021

Preprint

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The rapidly expanding nature of the Internet of Things (IoT) networks is beginning to attract interest across a range of applications, including smart homes, smart transportation, smart health, and industrial contexts such as smart robotics. This cutting-edge technology enables individuals to track and control their integrated environment in real-time and remotely via a thousand IoT devices comprised of sensors and actuators that actively participate in sensing, processing, storing, and sharing information. Nonetheless, IoT devices are frequently deployed in hostile environments, wherein adversaries attempt to capture and breach them in order to seize control of the entire network. One such example of potentially malicious behaviour is the cloning of IoT devices, in which an attacker can physically capture the devices, obtain some sensitive information, duplicate the devices, and intelligently deploy them in desired locations to conduct various insider attacks. A device cloning attack on IoT networks is a significant security concern since it allows for selective forwarding, sink-hole, black-hole, and warm-hole attacks. To address this issue, this paper provides an efficient scheme for detecting clone node attack on IoT networks that makes use of semantic information about IoT devices known as context information sensed from the deployed environment to locate them securely. We design the location proof mechanism by combining location proofs and batch verification of the extended elliptic curve digital signature technique (ECDSA*) to accelerate the verification process at selected trusted nodes. We demonstrate the security of our proposed scheme and its resilience to secure clone node attack detection by conducting a comprehensive security analysis of our proposed scheme. The performance analysis and experimental results compared with existing studies suggest that our proposed scheme provides a high degree of detection accuracy with minimal detection time and significantly reduces the computation,

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Section: Selection Of Trusted Nodesmentioning

confidence: 99%

A Context-Aware Information-Based Clone Node Attack Detection Scheme in Internet of Things

Hameed¹,

Garg²,

Amin³

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…• Resource limitations of IoT devices -IoT devices consist of limited computing, storage, and power resources. Therefore, the companies are forced to have large-scale cloud infrastructure projects [25]. • Privacy and security vulnerabilities -Exchanging IoT data with cloud-based IoT platforms, authentication of vastly decentralized IoT devices using limited resources in IoT devices have created privacy and security concerns [26].…”

Section: Introductionmentioning

confidence: 99%

Survey on Blockchain-Based IoT Payment and Marketplaces

2022

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The ever-growing smart applications will expand the Internet of Things (IoT) ecosystem to connect over 75 billion devices by 2025. IoT ecosystems comprise sensors that act as data suppliers and applications where monetary transactions are required to compensate the data producers. This signifies the importance of IoT payments and marketplaces to facilitate micro-transactions of billions of connected devices in the IoT ecosystem, which is heterogeneous, decentralized, and diverse. However, realizing such an ecosystem raises multiple challenges such as overcoming poor inter-operability, resource constraints, and security and privacy vulnerabilities of IoT devices and platforms. Blockchain is a Distributed Ledger Technology (DLT) that can be identified as a potential solution to overcome the challenges in realizing IoT payments and marketplaces. This is due to the characteristics of blockchain such as decentralization, traceability, immutability, and non-repudiation. This paper presents a comprehensive survey on blockchainbased IoT payments and marketplaces. This paper provides a brief introduction to the concepts of IoT payments and IoT marketplaces. Then the technical challenges involved in realizing IoT payment and marketplaces are discussed by highlighting the blockchain-based solutions. Furthermore, blockchain-based smart applications which use IoT marketplace and IoT payment concepts are presented marking the role of blockchain in each of the application. Subsequently, the paper discussed the integration challenges while also highlighting possible solutions. It is envisaged that this paper would shed light on the development of blockchain-based solutions to realize IoT payments and marketplaces.

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“…In information and communication technology, an ontology is a conceptual framework that allows for the development of complete and rigorous conceptual frameworks that facilitate the flow of information and communication between diverse systems and organizations [8][9][10]. Internet of things (IoT) sensor data is infrequently used in research that employs ontologies [11][12][13][14] in conjunction with ITS, despite the fact that they are increasingly popular. The ontology can provide a semantic interpretation for IoT sensor data, which will improve driver safety and traffic flow overall.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things-Based Intelligent Ontology Model for Safety Purpose Using Wireless Networks

Shakya

Sundar

Kushwaha

et al. 2022

Wireless Communications and Mobile Computing

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Intelligent transportation systems (ITS) are a newer trend in technology that improve the safety and performance in transportation systems. The exchange of information is considered as one of the key elements for ITS since it involves communication between vehicles and other components of ITS on road. On other hand, the data collections via Internet of Things (IoT) sensors play a major role for data collection and transmission between the vehicles and road segments in ITS. The data collection provides the current traffic and weather conditions that is considered necessary for driving in traffic. However, energy savings is one of the predominant objectives of electric vehicle (EV) while it is connected with ITS. In this research, we propose an ontology-based architecture for EVs using the data collected from IoT sensor network, which is intended to improve the overall driving experience. The system uses IoT sensor data to execute a range of activities in order to ensure the driver safety and comfort while on the road. The simulation is conducted on an Eclipse SUMO simulator, and the performance is reported. The results of simulation shows that the proposed intelligent model on making decisions along with weather and traffic conditions is reported efficient than existing ITS models.

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Identification of trusted IoT devices for secure delegation

Cited by 17 publications

References 11 publications

A Context-Aware Information-Based Clone Node Attack Detection Scheme in Internet of Things

A Context-Aware Information-Based Clone Node Attack Detection Scheme in Internet of Things

Survey on Blockchain-Based IoT Payment and Marketplaces

Internet of Things-Based Intelligent Ontology Model for Safety Purpose Using Wireless Networks

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