BlockSIoT: a Blockchain-Based Secure Data Sharing in SIoT

Priya, J. Chandra; Karthika, R. N.; Kumar, K. Suresh; Valarmathie, P.

doi:10.1007/978-981-16-6285-0_55

Cited by 1 publication

(1 citation statement)

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“…In order to face the scalability of IoT devices and provide a decentralized architecture, the blockchain technol-ogy, known as Distributed Applications (DApps), has been integrated with the SIoT (e.g. BlockSIoT [8]). Nevertheless, the applicability of blockchains combined with the SIoT to the educational context faces three main challenges among others: the limitations of the DApps blockchain technology, the inadaptability of social relationships to the educational context, and the requirement to secure access to the academic services.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Based Authorization Mechanism for Educational Social Internet of Things

Dallel,

Ayed,

Tahar

2024

IEEE Access

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The Social Internet of Things (SIoT) paradigm has been integrated in the education domain to enable educational IoT devices to establish social relationships and exchange academic services. Nonetheless, the social relationships are not adapted to the educational context where devices must be socially linked based on their academic roles and activities. Furthermore, the exchange of services raises the requirement to implement an access control mechanism. In SIoT, social constraints such as the social relationship type and contact frequency are critical requirements to make an access decision. However, these constraints cannot be specified using the eXtensible Access Control Markup Language (XACML) standard as device attributes nor as contextual conditions. In this paper, we propose an Educational Social Internet of Things (EducationalSIoT) platform implemented as an application-specific blockchain where we define new social relationships for educational devices. To control the access to the academic services, we suggest extending the XACML policy model by considering the social requirements, and accordingly, we adjust the policy evaluation process and suggest priority-based combining algorithms. Additionally, our platform ensures the delegation of access permission by defining delegation policies and controlling the delegation operation with consideration of the social features. The simulation results show that by integrating social features, an access request is evaluated in 0.22ms and a delegation request is evaluated in 0.32ms. Finally, we guarantee that our platform is protected against the man-in-the-middle and replay attacks.

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Section: Introductionmentioning

confidence: 99%