A Lightweight Authenticated Key Agreement Protocol Using Fog Nodes in Social Internet of Vehicles

Guo, Xinglan; Yang, Lei; Meng, Qian; Chen, Chien‐Ming

doi:10.1155/2021/3277113

Cited by 13 publications

(14 citation statements)

References 36 publications

(72 reference statements)

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“…The protocol also used ECC, which had a large computational cost and computational burden from the CS under the architecture used. In 2021, Wu et al [12] designed a lightweight AKA protocol, which was also based on the above architecture and did not realize the function of fog nodes sharing the computational burden of the CS. The main works related to this paper are summarized in Table 1.…”

Section: Related Workmentioning

confidence: 99%

“…Recently, the literature [9][10][11][12] has involved research on authenticated key agreement (AKA) protocols for applying fog computing to the IoV. In 2019, Ma et al [9], based on asymmetric cryptosystems and fog computing, proposed an AKA protocol.…”

Section: Introductionmentioning

confidence: 99%

“…Each communication required the participation of a CS. In 2021, following the architecture presented in [11], Wu et al [12] proposed a lightweight AKA protocol that still did not realize the function of fog nodes sharing the computational burden of a CS.…”

Section: Introductionmentioning

confidence: 99%

“…Although the above AKA protocols [9][10][11][12] use fog computing, they fail to realize the function of fog nodes sharing the computational burden of a CS. This is because in the conventional architecture, fog nodes actually replace the RSU, and computing is still on the CS, which does not reduce the computational burden of the CS.…”

Section: Introductionmentioning

confidence: 99%

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SGXAP: SGX-Based Authentication Protocol in IoV-Enabled Fog Computing

et al. 2022

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With the maturity and popularization of the Internet of Things, we saw the emergence of the Internet of Vehicles. This collects and processes real-time traffic information, alleviates traffic congestion, and realizes intelligent transportation. However, sensitive information, such as real-time driving data of vehicles, are transmitted on public channels, which are easily to steal and manipulate for attackers. In addition, vehicle communications are vulnerable to malicious attacks. Therefore, it is essential to design secure and efficient protocols. Many studies have adopted asymmetric cryptosystems and fog computing to in this environment, but most of them do not reflect the advantages of fog nodes, which share the computational burden of cloud servers. Therefore, it is challenging to design a protocol that effectively uses fog nodes. In this paper, we design an authentication protocol based on a symmetric encryption algorithm and fog computing in the Internet of Vehicles. In this protocol, we first propose a four-layer architecture that significantly reduces the computational burden of cloud servers. To resist several well-known attacks, we also apply Intel software guard extensions to our protocol. This is because it can resist privileged insider attacks. We prove the security of the proposed protocol through the Real-Or-Random model and informal analysis. We also compare the performance of the proposed protocol with recent protocols. The results show better security and a lower computational cost.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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SGXAP: SGX-Based Authentication Protocol in IoV-Enabled Fog Computing

et al. 2022

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“…In addition, the Internet of vehicles can also realize vehicle to everything (V2X), where x can be an entity or nonentity [8,9]. However, with the rapid development of the Internet of vehicles, the data of the Internet of vehicles has also experienced a blowout growth in recent years [10][11][12][13][14]. Intel's Research Report on the amount of data used by Internet of vehicles users a few years ago pointed out that, in 2020, the amount of data used by a car that realizes automatic driving will be 4000 GB [15].…”

Section: Introductionmentioning

confidence: 99%

Internet of Vehicles Resource Scheduling Based on Blockchain and Game Theory

Chen

2022

Mathematical Problems in Engineering

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With the popularity of on-board intelligent devices, the number of vehicle computing intensive applications is also increasing rapidly. Due to the high mobility and limited computing power of the vehicle, and the extensive and changing demand for computing resources of the vehicle terminal, the vehicle often has insufficient computing power. In order to meet the needs of intensive computing applications of vehicle terminals, the computing tasks of vehicles can be unloaded to edge cloud servers (ECSs) with rich resources and high performance to enhance the computing power of vehicle terminals. However, the resource charge of ECS is high, and the scheme needs to consider such issues as ECS signal coverage, long task transmission delay caused by network congestion, and insufficient computing capacity of ECS. Therefore, this study considers unloading the computing tasks of vehicles with insufficient computing resources to nearby vehicles with redundant computing capacity and proposes a resource scheduling method for the Internet of vehicles based on blockchain and game theory. The scheduling of computing resources can reduce the computing workload of buyers’ vehicles and improve the operation efficiency of the whole vehicle network.

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On the security of ring learning with error‐based key exchange protocol against signal leakage attack

Pursharthi

Mishra

2023

Security and Privacy

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Due to the rapid development of mobile communication and hardware technologies, several mobile‐based web applications have gained popularity among mobile users. Mobile users can utilize these devices to access numerous services over the Internet. To ensure secure communication, different key exchange and authentication (KEA) protocols are proposed and frequently used. However, due to the advent of quantum computers, numerous quantum‐safe KEA protocols are also developed using various complex mathematical problems in ideal lattices. As it is an emerging and developing area, we analyze the security of recently suggested ring learning with error based KEA protocols. The goal of this study is to gain a comprehensive understanding of quantum‐safe KEA mechanisms. For our study, we have considered Dharminder's LWE‐based KEA mechanism and Dharminder and Chandran's LWE‐based KEA mechanism. These protocols enable effective communication and provide a better means for safely transmitting messages between user and server. However, we have discovered that a fundamental security weakness in these methods makes them vulnerable to signal leakage attacks (SLA). Based on our analysis, we demonstrated security weakness against SLA and provide the road‐map for secure construction.

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A Lightweight Authenticated Key Agreement Protocol Using Fog Nodes in Social Internet of Vehicles

Abstract: Recently, there has been rapid growth in the Internet of things, the Internet of vehicles, fog computing, and social Internet of vehicles SIoV , which can generate large amounts of real-time data. Now, researchers have begun applying fog computing to the SIoV … Show more

Cited by 13 publications

References 36 publications

SGXAP: SGX-Based Authentication Protocol in IoV-Enabled Fog Computing

SGXAP: SGX-Based Authentication Protocol in IoV-Enabled Fog Computing

Internet of Vehicles Resource Scheduling Based on Blockchain and Game Theory

On the security of ring learning with error‐based key exchange protocol against signal leakage attack

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