An access control management protocol for Internet of Things devices

Taylor, Mark; Reilly, Denis; Lempereur, Brett

doi:10.1016/s1353-4858(17)30071-5

Cited by 11 publications

(8 citation statements)

References 31 publications

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“…Taylor et al divided the access control mechanisms in IoT into three categories, Role Based Access Control (RBAC), Context Aware Access Control (CWAC) and Policy Based Access Control (PBAC) [104]. Whereas Ouaddah et al extended this classification into more categories that include Attributebased Access Control (ABAC), Usage Control-based Access Control (UCAC), Capability-based Access Control (CAC), and Organizational-based Access Control (OAC) [105].…”

Section: A Authentication and Access Control In Iotmentioning

confidence: 99%

Machine Learning in IoT Security: Current Solutions and Future Challenges

Hussain

Hassan

et al. 2020

IEEE Commun. Surv. Tutorials

557

270

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The future Internet of Things (IoT) will have a deep economical, commercial and social impact on our lives. The participating nodes in IoT networks are usually resourceconstrained, which makes them luring targets for cyber attacks. In this regard, extensive efforts have been made to address the security and privacy issues in IoT networks primarily through traditional cryptographic approaches. However, the unique characteristics of IoT nodes render the existing solutions insufficient to encompass the entire security spectrum of the IoT networks. This is, at least in part, because of the resource constraints, heterogeneity, massive real-time data generated by the IoT devices, and the extensively dynamic behavior of the networks. Therefore, Machine Learning (ML) and Deep Learning (DL) techniques, which are able to provide embedded intelligence in the IoT devices and networks, are leveraged to cope with different security problems. In this paper, we systematically review the security requirements, attack vectors, and the current security solutions for the IoT networks. We then shed light on the gaps in these security solutions that call for ML and DL approaches. We also discuss in detail the existing ML and DL solutions for addressing different security problems in IoT networks. At last, based on the detailed investigation of the existing solutions in the literature, we discuss the future research directions for ML-and DL-based IoT security.

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Section: A Authentication and Access Control In Iotmentioning

confidence: 99%

Machine Learning in IoT Security: Current Solutions and Future Challenges

Hussain

Hassan

et al. 2020

IEEE Commun. Surv. Tutorials

557

270

View full text Add to dashboard Cite

show abstract

“…So far, several many protocols have been proposed to ensure IoT security, e.g. [5], [6], [7], [8], [9], however, most of them have failed in providing their security goals [10], [11], [12], [13] and various attacks, such as the protocol's secret values disclosure, desynchronization, traceability, impersonation were reported against those protocols. For example, Lee et al proposed a new authenticated group key agreement protocol for imbalanced wireless networks [14].…”

Section: A Related Work and Motivationmentioning

confidence: 99%

A Novel Lightweight Block Cipher-Based Mutual Authentication Protocol for Constrained Environments

et al. 2020

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The communication security of constrained objects such as radio frequency identification (RFID) tags and wireless sensor network (WSN) is very challenging because it is not always possible to use the conventional on-the-shelf solutions for them, due to their limited available power and computational capabilities. To deal with this demand, many security protocols have been developed by the researchers so far. However, in many cases, the later analyses that have been carried out on these protocols have shown that they are vulnerable to one or few attacks, which could be enough to eliminate any application for such protocols. Following this direction, in this paper, we analyze the security of four recent ultra-lightweight/lightweight protocols, by presenting important attacks including secret disclosure attack and desynchronization attack against them. To address the shortcoming of the previous protocols, we present a new security protocol based on lightweight block ciphers name it LBCbAP. In this protocol, we use CRAFT as the core security primitive. CRAFT is a tweakable block cipher which has been recently proposed and independent security analysis confirmed its security. Our detailed security analysis of LBCbAP, which is performed both informally and formally through the GNY logic and the Scyther tool, demonstrates its security against various types of attacks including secret disclosure and desynchronization attacks. The cost analysis of the designed protocol and comparison with the related lightweight protocols show that LBCbAP is cost efficient.

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“…According to [17] "is a technological innovation, based on already consolidated artifacts such as the internet and smart objects". Its objective is to create new applications and improve existing ones, according to [18], enabling the integration of information from the virtual and physical environment, thus extending the network to the real world [19,20].…”

Section: Internet Of Thingsmentioning

confidence: 99%

SENSING: An Approach to Establish the First Step to Prepare a CNC Machine for IoT Implementation

Carvalho¹,

Simões²,

Carvalho³

et al. 2020

IJAERS

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Automation as the procedure is achieved without human assistance has already applied for many enterprises to improve productivity and cost reduction. The computer numerical control machines (CNC) have been implemented in many industrial segments and the monitoring of future fails can avoid delivery time delay, improve flexibility and cost-saving. As a tool of Industry 4.0, the internet of things (IoT) has been applied to introduce predictive maintenance programs. This work aims to investigate the feasibility of an easy monitoring system, using Arduino, and sensors for ultrasonic proximity, and color recognition, as well as an accelerometer as a low-cost alternative to data acquired in a CNC lathe machine facilitating the IoT implementation, and consequently a predictive maintenance program.

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An access control management protocol for Internet of Things devices

Abstract: The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription.

Cited by 11 publications

References 31 publications

Machine Learning in IoT Security: Current Solutions and Future Challenges

Machine Learning in IoT Security: Current Solutions and Future Challenges

A Novel Lightweight Block Cipher-Based Mutual Authentication Protocol for Constrained Environments

SENSING: An Approach to Establish the First Step to Prepare a CNC Machine for IoT Implementation

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