An anonymous authentication and key agreement protocol in smart living

Li, Fengyin; Yu, Xinying; Cui, Yang; Yu, Siqi; Sun, Yi; Wang, Yilei; Zhou, Huiyu

doi:10.1016/j.comcom.2022.01.019

Cited by 9 publications

(1 citation statement)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This scheme stands resilient against man-in-the-middle, identity guessing, and impersonation attacks. In [17], the authors introduced an anonymous ASKG scheme targeting WSN environments. Nonetheless, evaluation in [18] reveals that their protocol is insufficient in countering insider, stolen verifier, and ephemeral secret leakage attacks.…”

Section: Related Workmentioning

confidence: 99%

LEAF-IIoT: Lightweight and Efficient Authentication Framework for the Industrial Internet of Things

Tanveer,

El-Latif,

Khan

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The Internet of Things (IoT) has emerged as a revolutionary communication technology, enabling the connection of resource-limited devices to the Internet. These devices are deployed in various industrial control systems to remotely monitor and control industrial applications. However, the public Internet's inherent vulnerability to malicious attacks poses a significant challenge to the secure operation of these systems. To address this challenge, a lightweight and efficient authentication framework, LEAF-IIoT, is proposed. LEAF-IIoT leverages authenticated encryption (AE) techniques to provide a multifaceted security solution encompassing confidentiality, authentication, and data integrity. It establishes a secure channel by exchanging messages between the user, gateway, and smart embedded device, culminating in the creation of a session key for secure data exchange. Rigorous security assessment confirms the robustness of LEAF-IIoT, while performance evaluation demonstrates its significantly lower computational cost and reduced communication overhead compared to existing frameworks. Despite these efficiencies, LEAF-IIoT continues to provide strong security features, ensuring the integrity and confidentiality of data exchanged in the IIoT context.

show abstract

Section: Related Workmentioning

confidence: 99%