A Lightweight and Privacy-Preserving Mutual Authentication and Key Agreement Protocol for Internet of Drones Environment

Pu, Cong; Wall, Andrew; Choo, Kim‐Kwang Raymond; Ahmed, Imtiaz; Lim, Sunho

doi:10.1109/jiot.2022.3163367

Cited by 53 publications

(21 citation statements)

References 20 publications

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“…Pu et al 17 discussed a protocol using a duffing map chaotic system, without addressing inter‐drone communication and location validation. Pu et al 34 discussed a PUF and Henon map based mutual authentication mechanism for IoD. However, the mutual authentication between drones is server‐based and location validation of the drone is not performed.…”

Section: Related Workmentioning

confidence: 99%

A location‐aware physical unclonable function and Chebyshev map‐based mutual authentication mechanism for internet of surveillance drones

Nair

Thampi²

2023

Concurrency and Computation

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Summary The primary concern for securing the Internet of Drones (IoD) is authentication. Drone location is a vital information that must be verified before a secure communication link with the ground station can be established. In this paper, a location aware mutual authentication technique for secure inter‐drone and drone to ground communication using physical unclonable functions and Chebyshev chaotic maps is proposed. This is the first work that addresses the location validation of drones along with server‐less inter‐drone communication with a fail‐safe mechanism designed using a fuzzy inference system to tackle drone failures. The security of the system is analyzed using Burrows–Abadi–Needham logic, real‐or‐random oracle model and ProVerif. The processing, communication, and storage costs of the proposed scheme are determined and compared to other drone mutual authentication protocols. The proposed mechanism outperforms the existing mutual authentication protocols with superior security features and performance attributes and is well suited for surveillance drone networks.

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Section: Related Workmentioning

confidence: 99%

A location‐aware physical unclonable function and Chebyshev map‐based mutual authentication mechanism for internet of surveillance drones

Nair

Thampi²

2023

Concurrency and Computation

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“…the importance of authentication and such incidents motivate the need to propose and design secure authentication schemes for drones. As a result, several schemes employed classical cryptosystems to ensure the security and privacy of communications in the IoD environment [24]- [38]. However, Quantum computing can efficiently break those classical cryptosystems that rely on the complexity of these problems [39].…”

Section: A Motivationmentioning

confidence: 99%

“…The basic idea behind their scheme is that the ground station and drone employ the chaotic maps' seed value to randomly rearrange genuine messages according to the created chaotic sequence. Also, Pu et al [22] proposed a lightweight mutual authentication and key agreement scheme with protecting privacy for the IoD. Chaotic system and physical unclonable function are used to provide mutual authentication and create a session key between between IoD system communication parties.…”

Section: B Related Workmentioning

confidence: 99%

“…In the beginning, researchers and engineers were focused on the development of drone architecture and their functional effectiveness without giving much attention to protecting the integrity or confidentiality of drones' communications and data. Therefore, several recent papers have been published to address the problems of security and privacy based on classical cryptography [1]- [4], [23]- [38]. However, none of these recent papers considered the threat of quantum computing and only focused on the classical sense of security.…”

Section: Introductionmentioning

confidence: 99%

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Authenticated Secure Quantum-Based Communication Scheme in Internet-of-Drones Deployment

et al. 2022

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The rapid advance of manufacturing Unmanned Aerial Vehicles (UAVs, aka drones) has led to a rise in the use of their civilian and commercial applications. The access of these drones to controlled airspace can be efficiently coordinated through particular layered network architecture, often referred to as the Internet-of-Drones (IoD). The nature of IoD, which is deployed in an open-access environment, brings significant safety and security concerns. Classical cryptosystems such as elliptic curve cryptography, Rivest-Shamir-Adleman, and Diffie-Hellman are essential building blocks to secure communication in the IoD. However, with the rapid development of quantum computing, it will be easy to break publickey cryptosystems using efficient quantum algorithms like Shor's algorithm. Thus, building quantum-safe solutions to enhance IoD security has become imperative. Fortunately, quantum technologies can provide unconditional security solutions to protect data and communications in the IoD environment. This paper proposes a quantum-based scheme to prevent unauthorized drones from accessing a specific flight zone and authenticates the identities and shared secret messages of involved entities. To do so, we used a quantum channel to encode the private information based on a pre-shared key and a random key generated in session. The involved entities also perform mutual authentication and share a secret key. We also provide the security proofs and analysis of the proposed scheme that indicates its resistance to well-known attacks.

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“…We analyzed the validation of security protocols against manin-the-middle and replay attacks by utilizing AVISPA simulation tools which is widely employed in designing secure protocols [48], [49], [50]. There are 4 backends are utilized in AVIPA simulations: the Tree Automata based on Automatic Approximations for the Analysis of Security Protocols (TA4SP), the On-the-fly mode-checker (OFMC), the Constraint-logic-based Attack Searcher (CL-AtSe), and the SAT-based Model Checker (SATMC).…”

Section: T) (6)mentioning

confidence: 99%

A Secure Batch Authentication Scheme for Multiaccess Edge Computing in 5G-Enabled Intelligent Transportation System

Kim

Lee

et al. 2022

IEEE Access

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With the introduction of 5G technology in the intelligent transportation system (ITS), data bandwidth over communication channel is significantly increased. In the existing cloud-based ITS, a largescale data is collected, stored, and analyzed to provide precise services to vehicle user, which creates a burden on the cloud service provider that can cause service delays or the inability to provide complex services. Multi-access edge computing (MEC) technology, which extends cloud capabilities to edge servers, is attracting attention in order to reduce the constraint of the cloud-based infrastructure. However, in ITS constructed on MEC, since vehicles exchange information through a wireless communication channel. It is vulnerable to various security attacks. This paper proposes a secure batch authentication scheme for multi-access edge computing in 5G-enabled ITS. The proposed scheme withstands common security attacks including impersonation, replay, man-in-the-middle, physical capture, offline password guessing attacks, and provides secure batch authentication, anonymity and confidentiality. We also consider the vehicle can cross the boundary between MEC servers for continuity of service. We analyze the security of the proposed scheme to show that the proposed scheme is secure against various security attacks, and performance analysis. Lastly, we conduct comparison with other related works.INDEX TERMS Multi-access edge computing, authentication and key agreement, intelligent transportation system, security. I. INTRODUCTION 17 Modern intelligent transportation systems (ITS) and 18 autonomous vehicles have been significantly developed 19 with the capabilities brought by 5G. The features of 5G 20 such as incorporating broader bandwidths with advanced 21 antenna systems, can support numerous applications such as 22 autonomous driving, safety, reduced traffic congestion, sense 23 93 109

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A Lightweight and Privacy-Preserving Mutual Authentication and Key Agreement Protocol for Internet of Drones Environment

Cited by 53 publications

References 20 publications

A location‐aware physical unclonable function and Chebyshev map‐based mutual authentication mechanism for internet of surveillance drones

A location‐aware physical unclonable function and Chebyshev map‐based mutual authentication mechanism for internet of surveillance drones

Authenticated Secure Quantum-Based Communication Scheme in Internet-of-Drones Deployment

A Secure Batch Authentication Scheme for Multiaccess Edge Computing in 5G-Enabled Intelligent Transportation System

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