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Provably Secure Mutual Authentication and Key Agreement Scheme Using PUF in Internet of Drones Deployments.
Yohan Park1, Daeun Ryu1, Deokkyu Kwon2
1School of Computer Engineering, Keimyung University, Daegu 42601, Republic of Korea.
Sensors (Basel, Switzerland)
|February 28, 2023
Summary
This study introduces a secure authentication scheme for the Internet of Drones (IoD) using physical unclonable functions and biometrics. The new method enhances security against impersonation and capture attacks in drone networks.
Area of Science:
- Computer Science
- Cybersecurity
- Network Security
Background:
- The Internet of Drones (IoD) is an Internet of Things (IoT) application enabling drone services but faces significant privacy and security challenges.
- Vulnerabilities include insecure data transmission, data extraction from user devices, and drone capture attacks, necessitating robust authentication.
- Existing schemes, like Akram et al.'s, have shown susceptibility to impersonation, data leakage, and denial-of-service attacks.
Purpose of the Study:
- To propose a secure and lightweight mutual authentication and key agreement scheme for user-drone communication in IoD environments.
- To address the identified security flaws in previous authentication schemes for drone networks.
- To enhance the security and privacy of drone operations against various cyber and physical threats.
Main Methods:
- Developed a novel scheme employing Physical Unclonable Functions (PUF) for drone uniqueness and resistance to capture attacks.
- Integrated a fuzzy extractor to securely utilize user biometrics as secret parameters for authentication.
- Conducted security analysis using informal methods, BAN logic, Real-or-Random (RoR) model, and AVISPA simulation.
Main Results:
- The proposed scheme effectively prevents user and drone impersonation attacks.
- It provides enhanced security against verification table leakage and denial-of-service (DoS) attacks.
- The scheme ensures perfect forward secrecy and offers resistance against drone capture attacks through PUF integration.
Conclusions:
- The developed scheme offers a secure and lightweight solution for authentication in the Internet of Drones.
- It provides robust protection against known vulnerabilities, including impersonation and capture attacks.
- The proposed scheme is suitable for resource-constrained drones, ensuring secure and convenient wireless communications in IoD ecosystems.
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