A lightweight key renewal scheme based authentication protocol with configurable RO PUF for clustered sensor networks

Cui, Yijun; Li, Jiang; Wang, Chenghua; Gu, Chongyan; Liu, Weiqiang

doi:10.1016/j.mejo.2021.105265

Cited by 7 publications

(2 citation statements)

References 28 publications

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“…Considering anonymity, they generated an access list using their generated CRPs from the PUF. Another proposal based on PUF came from Cui et al [51] to provide authentication for wireless sensor networks (WSNs). To use CRPs and random numbers generated through configurable RO-PUF (CRO-PUF) to be used as secret keys.…”

Section: Related Workmentioning

confidence: 99%

Secure Medical Data Against Unauthorized Access Using Decoy Technology in Distributed Edge Computing Networks

Khan,

Ghani,

Saqlain

et al. 2023

IEEE Access

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The recent advancements in cyber technology have facilitated the global electronic sharing of healthcare data among various healthcare professionals, including clinicians, researchers, business administrators, and others. Fog computing is gaining popularity as a means of disseminating information across industries, especially in medicine and healthcare, due to its capability to manage vast amounts of information and data. The evolution of fog computing now allows it to be adaptable to various budget constraints within healthcare organizations, thanks to technological progress. This adaptation includes features like real-time data breach alerts and automated surveillance. As new communication and computing models emerge, fresh security and privacy concerns arise within medical and health-related data. Existing data privacy and security protocols have proven inadequate in preventing data leaks and theft attacks, especially those orchestrated by malicious parties. While medical data is stored in the cloud, legitimate entities' authorized access to medical documents remains a significant concern. Therefore, this article designs an authentication and authorization scheme that safeguards the privacy of users' medical information documents. In response to this challenge, we propose an innovative approach that leverages Decoy information technology and User Behavior profiling. This methodology aims to enhance the security of authorized data access within the Fog environment, ensuring the confidentiality of medical data. The results show that the proposed protocol is more secure against unauthorized access and security attacks and more computationally efficient than its counterparts.INDEX TERMS Security and privacy, protected health information, health information exchange, decoy document, distributed edge computing networks.

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Section: Related Workmentioning

confidence: 99%

Secure Medical Data Against Unauthorized Access Using Decoy Technology in Distributed Edge Computing Networks

Khan,

Ghani,

Saqlain

et al. 2023

IEEE Access

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“…PUFs can generate unique and reproducible responses according to the input challenges. These challenge-response pairs (CRPs) are collected and enrolled in a secure database and commonly utilized for authentications [12]. PUFs can be generally categorized as weak PUFs and strong PUFs according to the number of CRPs.…”

Section: Related Workmentioning

confidence: 99%

A Fully Configurable PUF Using Dynamic Variations of Resistive Crossbar Arrays

Cui

Wang

et al. 2022

IEEE Trans. Nanotechnology

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A resistive random access memory (RRAM) as an emerging nanoelectronic device, is widely used for memory and physical unclonable function (PUF) applications. The compatibility of RRAM PUFs with memory architectures can be exploited to reduce the hardware overhead. Therefore, an intrinsic PUF using dynamic variations of resistive crossbar arrays is presented in this paper. Based on an improved sense amplifier (SA), the proposed intrinsic RRAM PUF can be fully configured as a memory cell or a PUF cell, leading to a minimal design overhead. Using the device-to-device (D2D) variation of an RRAM, a significant number of challenge-response pairs (CRPs) is generated with a flexible configuration of the resistive crossbar arrays. The proposed RRAM PUF can be refreshed to a new instance relying on the cycle-to-cycle (C2C) variation of an RRAM. An efficient challenge generation method is presented to improve the security of the proposed RRAM PUF. To verify the performance of the proposed RRAM PUF, 20 instances are simulated and implemented using a compact Spice model and a UMC 65nm CMOS process technology, respectively. The simulation results show that the proposed RRAM PUF exhibits good performances with a high uniqueness, reliability, and reconfigurability. The randomness of the PUF is evaluated by the National Institute of Standards and Technology (NIST) and autocorrelation function (ACF) tests. Moreover, the experimental results show that the proposed RRAM PUF achieves a good resistance against machine learning (ML) attacks.

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An ACF<0.03 low-power software PUF based on the RISC-V processor for IoT security

Wang

Zhang

et al. 2022

Microelectronics Journal

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A lightweight key renewal scheme based authentication protocol with configurable RO PUF for clustered sensor networks

Cited by 7 publications

References 28 publications

Secure Medical Data Against Unauthorized Access Using Decoy Technology in Distributed Edge Computing Networks

Secure Medical Data Against Unauthorized Access Using Decoy Technology in Distributed Edge Computing Networks

A Fully Configurable PUF Using Dynamic Variations of Resistive Crossbar Arrays

An ACF<0.03 low-power software PUF based on the RISC-V processor for IoT security

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