Fenrir: Blockchain-Based Inter-Company App-Store for the Automotive Industry

Blanco, David Fernandez; Mouël, Frédéric Le; Lin, Trista

doi:10.1109/access.2022.3223130

Cited by 5 publications

(6 citation statements)

References 43 publications

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“…nube (SaaS, PaaS, IaaS). (Blanco et al, 2023) Señala que los avances tecnológicos en tecnologías de la información tales como los servicios SaaS, PaaS, IaaS en la computación en la nube tienen gran relevancia, lo cual involucra la exploración de cómo la tecnología de la nube aborda cuestiones como flexibilidad, dinamismo.…”

Section: Descripción De Los Modelos De Servicio En Launclassified

Seguridad de la Información en la Nube: Una revisión sistemática

Ortiz,

Villacorta,

Mendoza

2024

Rev. cient. cienc. ing

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En un contexto de creciente adopción de tecnologías en la nube, la seguridad de la información se ha convertido en un aspecto crítico. Este artículo se enfoca en identificar, analizar y abordar los desafíos en la seguridad de la información en entornos de nube, al mismo tiempo que resalta las mejores prácticas recomendadas para garantizar la integridad, confidencialidad y disponibilidad de los datos. Empleando la metodología PRISMA se busca responder ¿Cuáles son los desafíos y mejores prácticas de la seguridad de la información en entornos de nube? A partir de esta base, se exploran los desafíos clave, incluyendo el almacenamiento seguro de información confidencial y la protección de la privacidad de los datos. Se subraya la importancia de cumplir con las regulaciones y leyes de protección de datos, como el GDPR (Reglamento General de Protección de Datos), especialmente en un entorno de nube que opera en diferentes ubicaciones geográficas. Para abordar estos desafíos, se presentan mejores prácticas esenciales. La encriptación se destaca como una medida fundamental para asegurar la confidencialidad de los datos, mientras que el control de acceso basado en roles se menciona como una estrategia clave para gestionar quién tiene acceso a la información en la nube. Además, se enfatiza la necesidad de realizar evaluaciones de riesgos continuas y de contar con un sólido plan de respuesta a incidentes para proteger eficazmente la información en entornos digitales cada vez más vulnerables.

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Section: Descripción De Los Modelos De Servicio En Launclassified

Seguridad de la Información en la Nube: Una revisión sistemática

Ortiz,

Villacorta,

Mendoza

2024

Rev. cient. cienc. ing

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“…This has led to unmanageable system complexity and challenges in keeping up with app. demands for computing, network, and energy consumption [2], [14]. Consequently, the E/E architecture has evolved, transitioning from a fully distributed architecture composed mostly of mono-functional micro-controllers (MCUs) connected through low-efficient networks like Controller Area Network (CAN), Local Interconnect Network (LIN), or FlexRay.…”

Section: A Automotive Backgroundmentioning

confidence: 99%

“…The tests were conducted on a publicly-accessible Fog/Edge platform [28]. For the automotive-like nodes, we utilised the Raspberry Pi 3B, which features an ARM Cortex-A53 chip-set similar to those deployed in current vehicle systems [2]. Legacy nodes are composed of Raspberry Pi 2 boards, bearing an ARM Cortex-A7 chip-set, representing a previous automotive chip-set generation.…”

Section: B Experimental Setup 1) Hardware Configurationmentioning

confidence: 99%

“…Unfortunately, this approach has not been accompanied by corresponding evolutions in software architecture and control panel design. As a result, system complexity has significantly increased [1], giving rise to numerous challenges [2] related to system safety, security, flexibility, and software life-cycle management. Consequently, software development, integration, and maintenance costs have escalated, hindering the automakers' objectives.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Can Software Containerisation Fit The Car On-Board Systems ?

Blanco,

Le Mouël,

Lin

et al. 2023

2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

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As the automotive industry evolves towards interconnected and intelligent vehicles, the integration of complex electronic and software components has become paramount. However, this increased complexity brings new challenges in ensuring system safety, security, and life-cycle management. In this article, we focus on virtualisation (virt.), particularly containerisation (cont.), as a solution to mitigate integration stress in multi-node environments. We present a detailed review of the automotive constraints and ecosystem, along with the selection criteria for virt. technologies, justifying the scope of our study. Our main contribution is a two-phased evaluation of cont. tools. Firstly, we assess popular single-node container engines (Docker, Containerd, and Linux Containers LXC) based on CPU, RAM, and file I/O overhead over multiple hardware configurations. Secondly, we evaluate their multi-node scalability. The results show that Docker performs in average better than the other solutions for automotive on-board architectures.

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“…Automatic firmware update: The proposed system can be enhanced for updating FOTA to avoid the attacks that target the network during the software update [37].…”

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confidence: 99%

Smart Automotive Diagnostic and Performance Analysis Using Blockchain Technology

Yassin

Aslan

Halim

2023

JSAN

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The automotive industry currently is seeking to increase remote connectivity to a vehicle, which creates a high demand to implement a secure way of connecting vehicles, as well as verifying and storing their data in a trusted way. Furthermore, much information must be leaked in order to correctly diagnose the vehicle and determine when or how to remotely update it. In this context, we propose a Blockchain-based, fully automated remote vehicle diagnosis system. The proposed system provides a secure and trusted way of storing and verifying vehicle data and analyzing their performance in different environments. Furthermore, we discuss many aspects of the benefits to different parties, such as the vehicle’s owner and manufacturers. Furthermore, a performance evaluation via simulation was performed on the proposed system using MATLAB Simulink to simulate both the vehicles and Blockchain and give a prototype for the system’s structure. In addition, OMNET++ was used to measure the expected system’s storage and throughput given some fixed parameters, such as sending the periodicity and speed. The simulation results showed that the throughput, end-to-end delay, and power consumption increased as the number of vehicles increased. In general, Original Equipment Manufacturers (OEMs) can implement this system by taking into consideration either increasing the storage to add more vehicles or decreasing the sending frequency to allow more vehicles to join. By and large, the proposed system is fully dynamic, and its configuration can be adjusted to satisfy the OEM’s needs since there are no specific constraints while implementing it.

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Fenrir: Blockchain-Based Inter-Company App-Store for the Automotive Industry

Abstract: The research leading to the results presented in this study was supported by Stellantis under the collaborative framework OpenLab VAT@Lyon, involving STELLANTIS and CITI Lab (ANRT contract n°2020/1415).

Cited by 5 publications

References 43 publications

Seguridad de la Información en la Nube: Una revisión sistemática

Seguridad de la Información en la Nube: Una revisión sistemática

Can Software Containerisation Fit The Car On-Board Systems ?

Smart Automotive Diagnostic and Performance Analysis Using Blockchain Technology

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