Secure and Lightweight Cloud-Assisted Video Reporting Protocol over 5G-Enabled Vehicular Networks

Nkenyereye, Lewis; Kwon, Joonho; Choi, Yoon–Ho

doi:10.3390/s17102191

Cited by 10 publications

(6 citation statements)

References 48 publications

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“…The current literature that addressed fog computing focuses on three main issues: (1) the quality of service (QoS) which is deemed to be used in order to measure the performance of different entities such as the mobile operators within the fog architecture; (2) the quality of experience (QoE) was also widely researched on to depict the experience met by the end-users on top of the quality of service; (3) the security, privacy challenges and access control issues were researched on for a range of applications from mobile, cloud and IoT based environments. Nevertheless, the majority of the existing work focus on vehicular communications, smart grids and others [19][20][21], there are limited work that address both access control, security, privacy preserving and fog-based scalability for the PHR systems. One of the relevant work in the domain was conducted by the authors in [5].…”

Section: Fog Computingmentioning

confidence: 99%

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Fog-based and Secure Framework for Personal Health Records Systems

Nkenyereye¹,

Islam²,

Hossain³

et al. 2021

Computers, Materials &Amp; Continua

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The rapid development of personal health records (PHR) systems enables an individual to collect, create, store and share his PHR to authorized entities. Health care systems within the smart city environment require a patient to share his PRH data with a multitude of institutions' repositories located in the cloud. The cloud computing paradigm cannot meet such a massive transformative healthcare systems due to drawbacks including network latency, scalability and bandwidth. Fog computing relieves the burden of conventional cloud computing by availing intermediate fog nodes between the end users and the remote servers. Aiming at a massive demand of PHR data within a ubiquitous smart city, we propose a secure and fog assisted framework for PHR systems to address security, access control and privacy concerns. Built under a fog-based architecture, the proposed framework makes use of efficient key exchange protocol coupled with ciphertext attribute based encryption (CP-ABE) to guarantee confidentiality and fine-grained access control within the system respectively. We also make use of digital signature combined with CP-ABE to ensure the system authentication and users privacy. We provide the analysis of the proposed framework in terms of security and performance.

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Section: Fog Computingmentioning

confidence: 99%

“…We assume that 𝕋 is minimum cover set of T, and 𝕋 is set to contain several time intervals stated as Κ = (𝜅 1 , 𝜅 2 , , , , 𝜅 𝑛 ) . Therefore, practically, the private key can have a time validation such as 𝕋{(2020,06,20), (2020,06,21)…”

Section: Private Key Generationmentioning

confidence: 99%

Fog-based and Secure Framework for Personal Health Records Systems

Nkenyereye¹,

Islam²,

Hossain³

et al. 2021

Computers, Materials &Amp; Continua

Self Cite

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“…For interactions between CAVs and RSUs , we utilize the IEEE802.11p communication standard which has been widely used to enable vehicle-to-vehicle and vehicle-to-infrastructure communications [4]. However, 5G is envisaged to bring about a new vehicular communication era with higher reliability, expedited data transmissions and reduced delay [5]. Also, we utilise PKI to issue identifiable digital identities to entities and establish secure communication channels for permissible communication.…”

Section: B Network Modelmentioning

confidence: 99%

“…5,600,0000 represents the number of cars in the state of New South Wales, according to www.abs.gov.au…”

mentioning

confidence: 99%

B-FERL: Blockchain based Framework for Securing Smart Vehicles

Oham¹,

Michelin²,

Kanhere³

et al. 2020

Preprint

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The ubiquity of connecting technologies in smart vehicles and the incremental automation of its functionalities promise significant benefits, including a significant decline in congestion and road fatalities. However, increasing automation and connectedness broadens the attack surface and heightens the likelihood of a malicious entity successfully executing an attack. In this paper, we propose a Blockchain based Framework for sEcuring smaRt vehicLes (B-FERL). B-FERL uses permissioned blockchain technology to tailor information access to restricted entities in the connected vehicle ecosystem. It also uses a challenge-response data exchange between the vehicles and roadside units to monitor the internal state of the vehicle to identify cases of in-vehicle network compromise. In order to enable authentic and valid communication in the vehicular network, only vehicles with a verifiable record in the blockchain can exchange messages. Through qualitative arguments, we show that B-FERL is resilient to identified attacks. Also, quantitative evaluations in an emulated scenario show that B-FERL ensures a suitable response time and required storage size compatible with realistic scenarios. Finally, we demonstrate how B-FERL achieves various important functions relevant to the automotive ecosystem such as trust management, vehicular forensics and secure vehicular networks.

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“…We compare computation overheads for the proposed system with related schemes [20,44,45], using the parameters from [46,47]. Bilinear pairing, Tbp=4.211 ms.Scalar multiplication with bilinear pairing,Tsm-bp=1.709 ms.Point addition with bilinear pairing, Tpa-bp=0.007 ms.Scalar multiplication with elliptic curve cryptography, Tsm−ecc=0.442 ms.Point addition with elliptic curve cryptography, Tpa−ecc=0.0018 ms.Encryption with elliptic curve cryptography, Tenc−ecc=1.17 ms.Decryption with elliptic curve cryptography, Tdec−ecc=0.61 ms.Hash, Th=0.0001 ms.Map-to-point,Tmtp=4.302 ms.…”

Section: Performance Analysismentioning

confidence: 99%

A Secure Charging System for Electric Vehicles Based on Blockchain

Kim

Park

et al. 2019

Sensors

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Smart grids incorporating internet-of-things are emerging solutions to provide a reliable, sustainable and efficient electricity supply, and electric vehicle drivers can access efficient charging services in the smart grid. However, traditional electric vehicle charging systems are vulnerable to distributed denial of service and privileged insider attacks when the central charging server is attacked. The blockchain-based charging systems have been proposed to resolve these problems. In 2018, Huang et al. proposed the electric vehicle charging system using lightning network and smart contract. However, their system has an inefficient charging mechanism and does not guarantee security of key. We propose a secure charging system for electric vehicles based on blockchain to resolve these security flaws. Our charging system ensures the security of key, secure mutual authentication, anonymity, and perfect forward secrecy, and also provides efficient charging. We demonstrate that our proposed system provides secure mutual authentication using Burrows–Abadi–Needham logic and prevents replay and man-in-the-middle attacks using automated validation of internet security protocols and applications simulation tool. Furthermore, we compare computation and communication costs with previous schemes. Therefore, the proposed charging system efficiently applies to practical charging systems for electric vehicles.

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Secure and Lightweight Cloud-Assisted Video Reporting Protocol over 5G-Enabled Vehicular Networks

Cited by 10 publications

References 48 publications

Fog-based and Secure Framework for Personal Health Records Systems

Fog-based and Secure Framework for Personal Health Records Systems

B-FERL: Blockchain based Framework for Securing Smart Vehicles

A Secure Charging System for Electric Vehicles Based on Blockchain

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