Social-Aware Incentive Mechanisms for D2D Resource Sharing in IIoT

Sun, Wen; Li, Jiajia; Yue, Yanlin; Jiang, Yuanhe

doi:10.1109/tii.2019.2951009

Cited by 60 publications

(14 citation statements)

References 27 publications

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“…The efficient security algorithm for constrained IoT devices would be useful in aiding such low cost client side encryption and secure provisioning of these devices to the cloud. On another front, resources sharing mechanism in the IoT domain where resource constrained IoT devices can offload computationally intensive resources to resource-rich ones in order to achieve high quality of experience is encouraged in [15]. Accordingly, more complex scenarios of the use case of the proposed power efficient algorithm can be explored to leverage these efforts, and use the algorithm for resource constrained devices while adapting to the standard algorithm for the resource rich scenarios.…”

Section: Discussion and Conclusion A Discussionmentioning

confidence: 99%

“…The projection of the Internet of Things (IoT) technology is to give every real object a virtual reality, bringing about an unprecedented connectivity of things more than ever before. In the years ahead, the Internet of Things will have major impact on business models [3]- [7], agriculture [8], [9], transportation [10]- [12], automated industrial processes [13]- [15], homes [16], [17], infrastructure, security, trade standards, and much more. However, as interesting and promising as the projection of the complete actualization of the IoT technology sounds, this advancement is going to be closely accompanied by myriads of challenges -including security.…”

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confidence: 99%

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Efficient Security Algorithm for Power-Constrained IoT Devices

Mamvong

Goteng

Zhou

et al. 2021

IEEE Internet Things J.

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Internet of Things (IoT) devices characterized by low power and low processing capabilities do not exactly fit into the provision of existing security techniques, due to their constrained nature. Classical security algorithms which are built on complex cryptographic functions often require a level of processing that low power IoT devices are incapable to effectively achieve due to limited power and processing resources. Consequently, the option for constrained IoT devices lies in either developing new security schemes or modifying existing ones to be more suitable for constrained IoT devices. In this work, an Efficient security Algorithm for Constrained IoT devices; based on the Advanced Encryption Standard is proposed. We present a cryptanalytic overview of the consequence of complexity reduction together with a supporting mathematical justification, and provisioned a secure element (ATECC608A) as a trade-off. The ATECC608A doubles for authentication and guarding against implementation attacks on the associated IoT device (ARM Cortex M4 microprocessor) in line with our analysis. The software implementation of the efficient algorithm for constrained IoT devices shows up to 35% reduction in the time it takes to complete the encryption of a single block (16bytes) of plain text, in comparison to the currently used standard AES-128 algorithm, and in comparison to current results in literature at 26.6%

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Section: Discussion and Conclusion A Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Efficient Security Algorithm for Power-Constrained IoT Devices

Mamvong

Goteng

Zhou

et al. 2021

IEEE Internet Things J.

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“…The sets of workers that have provided computing services for the MSP P i and recommender r are denoted as Γ (P i ) and Γ (r), respectively. Then, b i→r is expressed as [26]…”

Section: Worker Selection Based On Reputation Model and Coalition Gamementioning

confidence: 99%

Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approach

Jiang¹,

Kang²,

Niyato³

et al. 2021

Preprint

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The metaverse is regarded as a new wave of technological transformation that provides a virtual space for people to interact with each other through digital avatars. To achieve immersive user experiences in the metaverse, real-time rendering is the key technology. However, computing intensive tasks of real-time graphic and audio rendering from metaverse service providers cannot be processed efficiently on a single resource-limited mobile and Internet of Things (IoT) device. Alternatively, such devices can adopt the collaborative computing paradigm based on Coded Distributed Computing (CDC) to support metaverse services. Therefore, this paper introduces a reliable collaborative CDC framework for metaverse. In the framework, idle resources from mobile devices, acting as CDC workers, are aggregated to handle intensive computation tasks in the metaverse. A coalition can be formed among reliable workers based on a reputation metric which is maintained in a double blockchains database. The framework also considers an incentive to attract reliable workers to participate and process computation tasks of metaverse services. Moreover, the framework is designed with a hierarchical structure composed of coalition formation and Stackelberg games in the lower and upper levels to determine stable coalitions and rewards for reliable workers, respectively. The simulation results illustrate that the proposed framework is resistant to malicious workers. Compared with the random worker selection scheme, the proposed coalition formation and Stackelberg game can improve the utilities of both metaverse service providers and CDC workers.

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“…Fortunately, the e-healthcare system integrated with the mobile social internet of things (MSIoTs) [9], [10] is envisioned to realize resource-constrained targeted vaccination. Mobile users' health data collected by the e-healthcare system can be analyzed to track the outbreak of an infectious disease.…”

Section: Introductionmentioning

confidence: 99%

Fast Containment of Infectious Diseases With E-Healthcare Mobile Social Internet of Things

2021

IEEE Internet Things J.

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Infectious disease presents great hazards to public health, due to their high infectivities and potential lethalities. One of the effective methods to hinder the spread of infectious disease is vaccination. However, due to the limitation of resource and the medical budget, vaccinating all people is not feasible in practice. Besides, the vaccinating effects are difficult to be timely observed through traditional ways, such as outpatient services. To tackle above problem, we propose an e-healthcare mobile social internet of things (MSIoTs) based targeted vaccination scheme to fast contain the spread of the infectious disease. Specifically, we first develop an e-healthcare MSIoT architecture by integrating the e-healthcare system and MSIoTs, whereby the spread status of the infectious disease is timely collected. Furthermore, a graph coloring and spreading centrality-based optional candidate searching algorithm is devised to hunt for the candidates that are powerfully capable of preventing infectious disease. Especially, in order to reduce the vaccination cost, we design an optimal vaccinated target selection algorithm to choose a minimum number of targets whose locations are differentially distributed. Extensive simulations demonstrate that the proposed scheme can effectively prevent infectious disease as compared to conventional schemes. Index Terms-E-healthcare mobile social internet of things, infectious disease, fast containment, targeted vaccination.

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Social-Aware Incentive Mechanisms for D2D Resource Sharing in IIoT

Cited by 60 publications

References 27 publications

Efficient Security Algorithm for Power-Constrained IoT Devices

Efficient Security Algorithm for Power-Constrained IoT Devices

Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approach

Fast Containment of Infectious Diseases With E-Healthcare Mobile Social Internet of Things

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