Security Evaluation of Authentication Requirements in IoT Gateways

Gomes, Diego R.; Lins, Fernando; Nóbrega, Obionor de Oliveira; Felix, Eduardo F.; Jesus, Bruno; Vieira, Marco

doi:10.1007/s10922-023-09754-z

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…Furthermore, there are several user authentication schemes in the literature for IoT environments, such as [13][14][15] and [16]. In [17], the researchers introduced a scheme to evaluate the compliance levels of authentication in existing IoT gateways. They proposed a methodology for assessing the authentication requirements of IoT gateways.…”

Section: Related Workmentioning

confidence: 99%

A Privacy-Preserving Surveillance Video Sharing Scheme: Storage, Authentication, and Joint Retrieval

Jabbari,

Fung

2024

Preprint

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Today, video surveillance systems are widely used to oversee and enhance home and premises security. For convenience and security, users often upload surveillance footage to the cloud, which can be accessed by trusted users during emergencies. However, given the sensitive nature of this data, users might be wary of trusting cloud services with user authentication and video access. Thus, managing video access control and user authentication with limited trust in cloud services presents a significant challenge. In this paper, we propose a privacy-preserving and secure scheme for storing and sharing video footage on the cloud. Homeowners can incorporate their trusted individuals into the system, thereby granting them access to view cloud-stored videos. Even in an emergency, these trusted users can collaborate to retrieve videos securely from the cloud. Our scheme allows homeowners to authenticate users and track video access without relying on cloud services. Our analysis by conducting formal proof using the Real-Or-Random (ROR) model indicates that the proposed scheme is secure. Additionally, we confirm its security and authenticity through Proverif, a formal verification tool. Informal security assessments further demonstrate its resilience against various attacks. Additionally, our communication and computational cost assessments show that our scheme is an effective and acceptable solution.

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Section: Related Workmentioning

confidence: 99%

A Privacy-Preserving Surveillance Video Sharing Scheme: Storage, Authentication, and Joint Retrieval

Jabbari,

Fung

2024

Preprint

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“…Data confidentiality needs to be guaranteed during communication. Due to the limited resources of IoT devices, traditional security mechanisms with complex computation cannot be directly applied to IoT devices (Gomes et al, 2023). Additionally, most traditional security mechanisms are one-to-one encryption, unsuitable for large-scale IoT scenarios, like the PE teaching platform in colleges.…”

Section: Introductionmentioning

confidence: 99%

Cloud IoT-Oriented Secure College Physical Education Teaching Platform Vased on Deep Learning

Zhang

2024

International Journal of Swarm Intelligence Research

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In physical education (PE) teaching, the teaching platform is comprehensively applied to provide students with high-quality PE teaching resources to meet their learning needs in different forms. A human motion trajectory detection method is proposed based on deep learning and superpixels. The initial positioning of human body is performed through the attention mechanism and the YOLOv5 model, and the human target tracking is performed through superpixels. Aiming at the difficulty of cross-domain security management due to the lack of security infrastructure in multi-domain cloud IoT, a lightweight certificateless cross-domain authentication scheme is designed. Simulation results show that the proposed detection method has significantly improved accuracy and running time compared with traditional methods and can adapt to different detection scenarios. Furthermore, the proposed certificateless cross-domain authentication scheme can securely access sensor-generated data under the cloud IoT of the PE teaching platform in colleges.

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A Survey on the Optimization of Security Components Placement in Internet of Things

Said,

Hajlaoui,

Omri

2024

J Netw Syst Manage

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Security Evaluation of Authentication Requirements in IoT Gateways

Cited by 4 publications

References 15 publications

A Privacy-Preserving Surveillance Video Sharing Scheme: Storage, Authentication, and Joint Retrieval

A Privacy-Preserving Surveillance Video Sharing Scheme: Storage, Authentication, and Joint Retrieval

Cloud IoT-Oriented Secure College Physical Education Teaching Platform Vased on Deep Learning

A Survey on the Optimization of Security Components Placement in Internet of Things

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