SmartABAC: Enabling Constrained IoT Devices to Make Complex Policy-Based Access Control Decisions

Fedrecheski, Geovane; Biase, Laisa C. C. De; Calcina-Ccori, Pablo C.; Lopes, Roseli de Deus; Zuffo, Marcelo Knörich

doi:10.1109/jiot.2021.3110142

Cited by 7 publications

(4 citation statements)

References 37 publications

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“…According to [21], four design components must be addressed based on the current access control problem in the IoT environment. Meanwhile, several approaches have been proposed for managing access control and associated privilege according to their access level in IoT systems [22], [23], [24], [25], [26], [27].…”

Section: B Access Control In Iotmentioning

confidence: 99%

“…With its flexibility and scalability, the ABAC model is more suitable for access control in IoT [32], [34], [36], [37], [38]. In addition, the use of access control marker language (XACML) as an extension of ABAC can be expressed as logical-based policies to define valid authorised access [21]. However, the drawback of XACML is the extensible markup language (XML), which makes it unsuitable for constrained devices, such as IoT applications.…”

Section: B Access Control In Iotmentioning

confidence: 99%

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Decentralised Access Control Framework using Blockchain: Smart Farming Case

Noor,

Razali,

Sham

et al. 2023

IJACSA

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The convergence of farming with cutting-edge technologies, like the Internet of Things (IoT), has led to the emergence of a smart farming revolution. IoT facilitates the interconnection of numerous devices across different agricultural ecosystems, enabling automation and ultimately enhancing the efficiency and quality of production. However, the implementation of IoT entails an array of potential risks. The accelerated adoption of IoT in the domain of smart farming has amplified the existing cybersecurity concerns, specifically those pertaining to access control. In extensive IoT environments that require scalability, the conventional centralized access control system is insufficient. Therefore, to address these gaps, we propose a novel decentralized access control framework. The framework applies blockchain technology as the decentralization approach with smart contract application focuses on the application scenario in smart farming to protect and secure IoT devices from unauthorised access by anomalous entities. The proposed framework adopted attribute-based access control (ABAC) and role-based access control (RBAC) to establish access rules and access permissions for IoT. The framework is validated via simulation to determine the price of gas consumption when executing smart contracts to retrieve attributes, roles and access rules between three smart contracts and provide the baseline value for future research references. Thus, this paper offers valuable insight into ongoing research on decentralized access control for IoT security to protect and secure IoT resources in the smart farming environment.

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Section: B Access Control In Iotmentioning

confidence: 99%

Section: B Access Control In Iotmentioning

confidence: 99%

Decentralised Access Control Framework using Blockchain: Smart Farming Case

Noor,

Razali,

Sham

et al. 2023

IJACSA

View full text Add to dashboard Cite

show abstract

“…SmartABAC(FEDRECHESKI et al, 2021) is an innovative model for access control in the IoT that is designed to run directly on IoT devices, aligning with the trend toward IoT decentralization.To simplify and enhance the policy parsing process, SmartABAC utilizes the enumerationbased access policies (EAP) (BISWAS; SANDHU; KRISHNAN, 2016). To address the inherent limitations in enumerated models, it incorporates typed and hierarchical attributes as a compensatory measure.Enumeration-based access policies in ABAC involve defining a finite set of attributes and their possible values.…”

mentioning

confidence: 99%

“…SmartABAC is a novel and expressive ABAC model tailored for autonomous resourceconstrained IoT devices. Is also the access control model implemented in SwarmOS.In the work(FEDRECHESKI et al, 2021) the authors do a comprehensive comparison of execution time across various models together with SmartABAC, the author initially chose models that had existing open-source implementations -namely, PM, HGABAC, and XACML. The comparison was then segmented into three categories: Time to Evaluate Policies, Policy Size, and Lines of Code, providing a multi-faceted analysis of these implementations.…”

mentioning

confidence: 99%

Análise de escalabilidade de uma plataforma IoT: a escalabilidade do SwarmOS.

Pereira

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Esta pesquisa adentra no vasto cenário da Internet das Coisas (IoT) através da inovadora perspectiva da computação em enxame, inspirada em sistemas biológicos. Sistemas de enxame, compostos por agentes simples, exibem a capacidade de autoorganização e abordam colaborativamente desafios complexos por meio de interações. O ponto central é o desafio inerente de escalabilidade na IoT, onde conectar inúmeros dispositivos se torna uma empreitada complexa. Este estudo visa definir e aprimorar a escalabilidade de sistemas de enxame. Para isso, o trabalho introduz um robusto ambiente de teste virtualizado projetado para explorar técnicas de escalabilidade. Atuando como um passo intermediário entre a concepção e testes em dispositivos físicos, este ambiente proporciona uma abordagem ágil e flexível. A ênfase reside não apenas em conceituar e aprimorar um ambiente de teste rigoroso, mas também em aprimorar um sistema de IoT, especificamente o SwarmOS, com um foco dedicado na escalabilidade, abordando desafios críticos no amplo domínio da IoT.

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A hybrid boosted neural sensitive attribute detection machine learning algorithm for HABAC systems

Kalpana,

Revathy

2024

Multimed Tools Appl

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SmartABAC: Enabling Constrained IoT Devices to Make Complex Policy-Based Access Control Decisions

Cited by 7 publications

References 37 publications

Decentralised Access Control Framework using Blockchain: Smart Farming Case

Decentralised Access Control Framework using Blockchain: Smart Farming Case

Análise de escalabilidade de uma plataforma IoT: a escalabilidade do SwarmOS.

A hybrid boosted neural sensitive attribute detection machine learning algorithm for HABAC systems

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