ChaoticPUFChain-IoT: PUF-based Authentication with Chaotic Maps for Blockchain-Enhanced IoT

The expansion of communication technology has led to the hasty integration of the Internet of Things into our everyday lives.Because of their limited resources and uneven distribution, these devices are more open to attackers and other security risks.Therefore, to ensure their data security, a strong and trustworthy lightweight authentication mechanism is required.This paper proposes a lightweight authentication strategy based on Physical Unclonable Functions (PUF) and Chaotic map that provides two-way authentication between gateways and end devices.This solution uses a PUF and chaotic map for stronger security and lower resource overhead than traditional authentication techniques.PUF is utilized to generate Challenge Response Pairs without keeping any confidential authentication data in the end device's memory.Challenge -Response Pairs are protected while transmitting over insecure networks by using a Chaotic map.As a result, the proposed authentication process ensures security by being resistant to attacks including physical attacks, machine learning modeling, and impersonation attacks.The protocol's effectiveness is analysed and assessed using AVISPA and Scyther formal verification tools and the findings demonstrate that the proposed protocol successfully withstands 9 security properties such as two-way authentication, physical and cloning and user anonymity etc.Based on a comparative analysis the proposed scheme ensures security with minimal computing and communication costs, making it appropriate for resource-constrained environments.

Publication Details

Journal
International journal of intelligent engineering and systems
Published
2024-12-25
DOI
https://doi.org/10.22266/ijies2025.0229.13
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

ChaoticPUFChain-IoT: PUF-based Authentication with Chaotic Maps for Blockchain-Enhanced IoT

International journal of intelligent engineering and systems
Blockchain Technology Applications and Security
article

ChaoticPUFChain-IoT: PUF-based Authentication with Chaotic Maps for Blockchain-Enhanced IoT

article en

Abstract

The expansion of communication technology has led to the hasty integration of the Internet of Things into our everyday lives.Because of their limited resources and uneven distribution, these devices are more open to attackers and other security risks.Therefore, to ensure their data security, a strong and trustworthy lightweight authentication mechanism is required.This paper proposes a lightweight authentication strategy based on Physical Unclonable Functions (PUF) and Chaotic map that provides two-way authentication between gateways and end devices.This solution uses a PUF and chaotic map for stronger security and lower resource overhead than traditional authentication techniques.PUF is utilized to generate Challenge Response Pairs without keeping any confidential authentication data in the end device's memory.Challenge -Response Pairs are protected while transmitting over insecure networks by using a Chaotic map.As a result, the proposed authentication process ensures security by being resistant to attacks including physical attacks, machine learning modeling, and impersonation attacks.The protocol's effectiveness is analysed and assessed using AVISPA and Scyther formal verification tools and the findings demonstrate that the proposed protocol successfully withstands 9 security properties such as two-way authentication, physical and cloning and user anonymity etc.Based on a comparative analysis the proposed scheme ensures security with minimal computing and communication costs, making it appropriate for resource-constrained environments.

International journal of intelligent engineering and systemsVol. 18(1)
Openalex Percentile: Top 62%
Blockchain Technology Applications and Security
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ChaoticPUFChain-IoT: PUF-based Authentication with Chaotic Maps for Blockchain-Enhanced IoT · International journal of intelligent engineering and systems (2024) | TGRS Research Map | TGRS