Design of Secure and Lightweight Authentication Scheme for UAV-Enabled Intelligent Transportation Systems Using Blockchain and PUF

Son, Seunghwan; Kwon, Deokkyu; Lee, Sang Woo; Jeon, Yong-Sung; Das, Ashok Kumar; Park, Young Ho

doi:10.1109/access.2023.3286016

Cited by 10 publications

(8 citation statements)

References 45 publications

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“…According to this model, an adversary is empowered to eavesdrop, delete, and modify messages transmitted through a public channel, allowing for the execution of various security attacks. These include performing impersonation, replay, and man-in-the-middle (MITM) attacks; acquiring a user's smart device to extract stored data through power analysis attacks [26][27][28]; legally creating avatars for impersonation attempts; and potentially functioning as an insider within the platform server. Additionally, we incorporate the more rigorous "Canetti-Krawczyk (CK) model" [29], which surpasses the assumptions of the DY model.…”

Section: Adversary Modelmentioning

confidence: 99%

Blockchain-Enabled Secure and Interoperable Authentication Scheme for Metaverse Environments

Patwe,

Mane

2024

Future Internet

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The metaverse, which amalgamates physical and virtual realms for diverse social activities, has been the focus of extensive application development by organizations, research institutes, and companies. However, these applications are often isolated, employing distinct authentication methods across platforms. Achieving interoperable authentication is crucial for when avatars traverse different metaverses to mitigate security concerns like impersonation, mutual authentication, replay, and server spoofing. To address these issues, we propose a blockchain-enabled secure and interoperable authentication scheme. This mechanism uniquely identifies users in the physical world as well as avatars, facilitating seamless navigation across verses. Our proposal is substantiated through informal security analyses, employing automated verification of internet security protocols and applications (AVISPA), the real-or-random (ROR) model, and Burrows–Abadi–Needham (BAN) logic and showcasing effectiveness against a broad spectrum of security threats. Comparative assessments against similar schemes demonstrate our solution’s superiority in terms of communication costs, computation costs, and security features. Consequently, our blockchain-enabled, interoperable, and secure authentication scheme stands as a robust solution for ensuring security in metaverse environments.

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Section: Adversary Modelmentioning

confidence: 99%

Blockchain-Enabled Secure and Interoperable Authentication Scheme for Metaverse Environments

Patwe,

Mane

2024

Future Internet

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“…BAN logic [8] is a formal analysis method to prove the mutual authentication of the protocol. Thus, various security protocols analyzed the property of mutual authentication using BAN logic [31][32][33]. To analyze the proposed protocol using BAN logic, we define basic notations and descriptions in Table 4.…”

Section: Ban Logicmentioning

confidence: 99%

Design of Secure and Efficient Authentication Protocol for Edge Computing-Based Augmented Reality Environments

Kwon,

Park

2024

Electronics

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Augmented reality (AR) is a virtual technology that integrates virtual information and objects into real environments, offering unprecedented possibilities in such fields such as architecture, education, and healthcare. Real-time communication and security protocols are critical to the successful deployment of AR applications to ensure user immersion, prevent motion sickness, and address security problems. This paper proposes a secure user-to-user (U2U) and user-to-infrastructure (U2I) authentication protocol suitable for edge computing-based AR environments. We also employ extended Chebyshev chaotic maps and physical unclonable functions to ensure security and efficiency during the authentication process. The proposed protocol initiates session keys after U2I authentication when an AR user enters the edge node area, facilitating secure U2U authentication for sharing data with nearby users. We conduct comprehensive studies of the security robustness of the proposed protocol using formal and informal analyses, including “Burrows–Abadi–Needham logic”, “Real-Or-Random model”, the “Scyther tool” and informal security analyses. Furthermore, we measure the performance of cryptographic primitives using the “Multiprecision Integer and Rational Arithmetic Cryptographic Library” Cryptographic SDK. We perform a comparative analysis of security features and functionality, and we conduct a computational and communication cost analysis. The results reveal that the proposed protocol can provide security and efficiency for edge computing-based AR environments, presenting the methods for seamless and secure real-time AR data exchanges for U2I and U2U communications.

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“…We analyze the mutual authentication of the proposed protocol using BAN logic [ 40 ]. Following [ 41 , 42 , 43 ], we define basic notations and descriptions of BAN logic in Table 2 .…”

Section: Security Analysismentioning

confidence: 99%

“… Computation costs comparison on user side devices [ 7 , 11 , 17 , 21 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 ]. …”

Section: Figurementioning

confidence: 99%

Provably Secure Lightweight Mutual Authentication and Key Agreement Scheme for Cloud-Based IoT Environments

Ju,

Park

2023

Sensors

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A paradigm that combines cloud computing and the Internet of Things (IoT) allows for more impressive services to be provided to users while addressing storage and computational resource issues in the IoT environments. This cloud-based IoT environment has been used in various industries, including public services, for quite some time, and has been researched in academia. However, various security issues can arise during the communication between IoT devices and cloud servers, because communication between devices occurs in open channels. Moreover, issues such as theft of a user’s IoT device or extraction of key parameters from the user’s device in a remote location can arise. Researchers interested in these issues have proposed lightweight mutual authentication key agreement protocols that are safe and suitable for IoT environments. Recently, a lightweight authentication scheme between IoT devices and cloud servers has been presented. However, we found out their scheme had various security vulnerabilities, vulnerable to insider, impersonation, verification table leakage, and privileged insider attacks, and did not provide users with untraceability. To address these flaws, we propose a provably secure lightweight authentication scheme. The proposed scheme uses the user’s biometric information and the cloud server’s secret key to prevent the exposure of key parameters. Additionally, it ensures low computational costs for providing users with real-time and fast services using only exclusive OR operations and hash functions in the IoT environments. To analyze the safety of the proposed scheme, we use informal security analysis, Burrows–Abadi–Needham (BAN) logic and a Real-or-Random (RoR) model. The analysis results confirm that our scheme is secure against insider attacks, impersonation attacks, stolen verifier attacks, and so on; furthermore, it provides additional security elements. Simultaneously, it has been verified to possess enhanced communication costs, and total bit size has been shortened to 3776 bits, which is improved by almost 6% compared to Wu et al.’s scheme. Therefore, we demonstrate that the proposed scheme is suitable for cloud-based IoT environments.

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Design of Secure and Lightweight Authentication Scheme for UAV-Enabled Intelligent Transportation Systems Using Blockchain and PUF

Cited by 10 publications

References 45 publications

Blockchain-Enabled Secure and Interoperable Authentication Scheme for Metaverse Environments

Blockchain-Enabled Secure and Interoperable Authentication Scheme for Metaverse Environments

Design of Secure and Efficient Authentication Protocol for Edge Computing-Based Augmented Reality Environments

Provably Secure Lightweight Mutual Authentication and Key Agreement Scheme for Cloud-Based IoT Environments

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