Automotive Grade Linux Software Architecture for Automotive Infotainment System

Sivakumar, P.; Devi, R. S. Sandhya; Lakshmi, A Neeraja; VinothKumar, B.; Vinod, B.

doi:10.1109/icict48043.2020.9112556

Cited by 9 publications

(1 citation statement)

References 11 publications

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“…A research group demonstrated an attack by modifying audio file to transmit malicious CAN messages to compromise various in-vehicle systems when played on the vehicle's media player [2]. • Operating Systems: While practices vary by the automaker, the bulk of software running in intelligent vehicles is not written by the automakers and some of it comes from free open-source software, such as Linux and Android and most of the intelligent vehicles nowadays use LINUX or Android operating system [92], [93]. Although the LINUX systems are proved to be less affected by malware than other operating systems like windows, and android since they are owned by limited repositories and operated by trusted distributors.…”

Section: The Potential Ways For Malware To Infect the Vehicle Systemsmentioning

confidence: 99%

Vehicle Security: A Survey of Security Issues and Vulnerabilities, Malware Attacks and Defenses

et al. 2021

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Section: The Potential Ways For Malware To Infect the Vehicle Systemsmentioning

confidence: 99%

Vehicle Security: A Survey of Security Issues and Vulnerabilities, Malware Attacks and Defenses

et al. 2021

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A Distributed Vehicle-Infrastructure Cooperation System Based on OpenHarmony

Chen,

Zhuang,

Yang

2024

Communications in Computer and Information Science

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Unlocking the value from car data: A taxonomy and archetypes of connected car business models

Sterk,

Stocker,

Heinz

et al. 2024

Electron Markets

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The automotive industry is relocating from viewing cars as standalone products to an all-encompassing ecosystem built around connected cars enabling data-driven business models. The vastly increasing amount of data collected by connected cars grants a unique driving experience for its users while providing companies operating in the automotive industry access to valuable information and, ultimately, cost and revenue benefits. In this article, we develop an empirically and theoretically grounded taxonomy of data-driven business models in the connected car domain to explore the impact of car connectivity and data availability on business models. Building on this, we conduct a cluster analysis revealing seven business model archetypes for the connected car domain: data platforms, location-based services, fleet management, diagnostics and maintenance, driving analytics, cyber-physical protection, and connected infotainment. Our findings advance the theoretical knowledge of data-driven business models, provide researchers with a systematic analysis of connected car-enabled business models, and enable decision-makers to identify strategic opportunities for leveraging connected car technology to enrich their business portfolios.

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Automotive Grade Linux Software Architecture for Automotive Infotainment System

Cited by 9 publications

References 11 publications

Vehicle Security: A Survey of Security Issues and Vulnerabilities, Malware Attacks and Defenses

Vehicle Security: A Survey of Security Issues and Vulnerabilities, Malware Attacks and Defenses

A Distributed Vehicle-Infrastructure Cooperation System Based on OpenHarmony

Unlocking the value from car data: A taxonomy and archetypes of connected car business models

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