Evidence map›Paper›PMID 38066003›Full record

ArticleScientific reports2023

Designing secure PUF-based authentication protocols for constrained environments.

Sang-Woong Lee, Masoumeh Safkhani, Quynh Le, Omed Hassan Ahmed, Mehdi Hosseinzadeh, Amir Masoud Rahmani, Nasour Bagheri

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 5 countries.

Sang-Woong LeePattern Recognition and Machine Learning Lab, Gachon University, 1342 Seongnamdaero, Sujeonggu, Seongnam, 13120, Republic of Korea.
Masoumeh SafkhaniDepartment of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, 16788-15811, Iran.
Quynh LeInstitute of Research and Development, Duy Tan University, Da Nang, Vietnam.
Omed Hassan AhmedDepartment of Information Technology, University of Human Development, Sulaymaniyah, Iraq.
Mehdi HosseinzadehInstitute of Research and Development, Duy Tan University, Da Nang, Vietnam. mehdihosseinzadeh@duytan.edu.vn.
Amir Masoud RahmaniFuture Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan. rahmania@yuntech.edu.tw.
Nasour BagheriSchool of Computer Science, Institute for Research in Fundamental Sciences (IPM), P. O. Box 19395-5746, Tehran, Iran. Nbagheri@sru.ac.ir.
Duy Tan University · VNShahid Rajaee Teacher Training University · IRGachon University · KRNational Yunlin University of Science and Technology · TWUniversity of Human Development · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical Unclonable Functions (PUFs) are widely used in cryptographic authentication and key-agreement protocols due to their unique physical properties. This article presents a comprehensive cryptanalysis of two recently developed authentication protocols, namely PLAKE and EV-PUF, both relying on PUFs. Our analysis reveals significant vulnerabilities in these protocols, including susceptibility to impersonation and key leakage attacks, which pose serious threats to the security of the underlying systems. In the case of PLAKE, we propose an attack that can extract the shared secret key with negligible complexity by eavesdropping on consecutive protocol sessions. Similarly, we demonstrate an efficient attack against EV-PUF that enables the determination of the shared key between specific entities. Furthermore, we highlight the potential for a single compromised client in the EV-PUF protocol to compromise the security of the entire network, leaving it vulnerable to pandemic attacks. These findings underscore the critical importance of careful design and rigorous evaluation when developing PUF-based authentication protocols. To address the identified vulnerabilities, we present an improved PUF-based authentication protocol that ensures robust security against all the attacks described in the context of PLAKE and EV-PUF. Through this research, we contribute to the field by exposing vulnerabilities in existing PUF-based authentication protocols and offering an improved protocol that enhances security and safeguards against various attack vectors. This work serves as a valuable reference for researchers and practitioners involved in the design and implementation of secure authentication schemes for IoT systems and dynamic charging systems for electric vehicles.

Identifiers

PMID38066003
PMCPMC10709365
OpenAlexW4389480757

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.