A provably secure lightweight authentication protocol in mobile edge computing environments

Meng, Qian; Yang, Lei; Guo, Xinglan; Kumari, Saru

doi:10.1007/s11227-022-04411-9

Cited by 15 publications

(17 citation statements)

References 34 publications

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“…In previous years, to achieve efficient authentication, the literature [27,28] adopted the cloud computing architecture to different environments. Later, researchers found that fog computing is more suitable for the IoV than cloud computing with a large amount of real-time data to process.…”

Section: Related Workmentioning

confidence: 99%

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%

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

et al. 2022

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“…There has been much research on the security of the cloud architecture for the IoV. Reference [10] proposed a multifactor authentication mechanism in the cloud computing scenario. On this basis, Reference [11] designed a four-layer architecture based on a symmetric encryption algorithm and fog computing for the IoV authentication protocol.…”

Section: Iov Security Architecture Based On Cloud Computing Scenariosmentioning

confidence: 99%

“…The receiver receives the data packet from the new address. The address update can be detected by evaluating the network card serial number in the header, and the shared key material is recalculated as Equation (10).…”

Section: Mobile Supportmentioning

confidence: 99%

A Data-Driven Noninteractive Authentication Scheme for the Internet of Vehicles in Mobile Heterogeneous Networks

Wang

Dong

Zhang

et al. 2022

Sensors

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The rapid development of intelligent vehicle networking technology has posed new requirements for in-vehicle gateway authentication security in the heterogeneous Internet of Vehicles (IoV). The current research on network layer authentication mechanisms usually relies on PKI infrastructure and interactive key agreement protocols, which have poor support for mobile and multihomed devices. Due to bandwidth and interaction delay overheads, they are not suitable for heterogeneous IoV scenarios with network state fluctuations. In this study, we propose a data-driven noninteractive authentication scheme, a lightweight, stateless scheme supporting mobility and multihoming to meet the lightweight data security requirements of the IoV. Our scheme implements device authentication and noninteractive key agreement through context parameters during data communication. Due to saving the signaling interactive delay and certificate overhead, in the IoV scenario, the proposed scheme reduced the delay by 20.1% and 11.8%, respectively, in the authentication and handover processes and brought higher bandwidth aggregation efficiency.

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“…Starting with personal data and media content, data protection at the edge is an effective strategy to assure edge safety and confidentiality 1 . Personal or biometric data, such as an individual's face photos that can use for individual exchange or applications like facial recognition for banking services, must be protected to enable private sharing for personal use and safe banking and other services 2 . Edge computing's inherent properties allow additional computational capabilities required for privacy and security‐sensitive applications 3 .…”

Section: Introductionmentioning

confidence: 99%

Secure personal authentication in fog devices via multimodal rank‐level fusion

Selvaraj

Thangavel

2023

Concurrency and Computation

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Summary In recent years, Fog and edge computing have gained enormous increases and usage of Internet of Things (IoT) devices in research and development even though it provides challenges such as security and privacy. One way to ensure this is a fusion of multimodal biometrics authentication systems, which offer highly reliable biometric authentication solutions to reduce the failure to enroll rate, increase the degree of freedom, and deter spoof attacks. Since unimodal biometric systems often face significant limitations due to sensitivity to noise, data quality, non‐universality, and illumination variations. In this research, we propose management of access control to ensure the desired level of security, a Rank level fusion integration method. ORL, GT, CASIA, and VGG‐face databases were used for testing and evaluating the implemented system. Thus, using the LDA with SCE based feature selection approach, the average GAR percent for the facial, hearing, and palm vein is 3.25% for the facial and muffs pulse and 8.55% for the head and palm vein result was the overall performance of the biometric system even in the presence of low‐quality data in the Fog environment.

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A provably secure lightweight authentication protocol in mobile edge computing environments

Cited by 15 publications

References 34 publications

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

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

A Data-Driven Noninteractive Authentication Scheme for the Internet of Vehicles in Mobile Heterogeneous Networks

Secure personal authentication in fog devices via multimodal rank‐level fusion

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