IoT-based Software Update Proposal for Next Generation Automotive Middleware Stacks

Stevic, Stevan; Lazic, Vladimir; Bjelica, Milan Z.; Lukić, Nemanja

doi:10.1109/icce-berlin.2018.8576241

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…However, the purpose of their work was to give an indication of feasibility of the current IoT technology in the automotive industry. Aiming to update the software based on IoT solutions, Stevan Stević et al [ 31 ] present their approach of integrating IoT technologies with the Adaptive AUTOSAR platform. The solution consists of a software architecture upgrade, a cloud connectivity based on IoT, and extensions of the Adaptive AUTOSAR stack.…”

Section: Previous Workmentioning

confidence: 99%

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Bogdan

Crişan-Vida

Barmayoun

et al. 2021

Sensors

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New trends in the automotive industry such as autonomous driving and Car2X require a large amount of data to be exchanged between different devices. Radar sensors are key components in developing vehicles of the future, therefore these devices are used in a large spectrum of applications, where data traffic is of paramount importance. As a result, communication traffic volumes have become more complex, leading to the research of optimization approaches to be applied at the AUTOSAR level. Our paper offers such an optimization solution at the AUTOSAR communication level. The radar sensor is accessed in a remote manner, and the experiments aimed at performance measurements revealed that our solution is superior to the Full AUTOSAR implementation in terms of memory usage and runtime measurements.

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Section: Previous Workmentioning

confidence: 99%

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Bogdan

Crişan-Vida

Barmayoun

et al. 2021

Sensors

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“…In contrast, the update framework (TUF) provides secure SW storage (Stević et al, 2018). Signed metadata are used to verify the hash of the SW downloaded.…”

Section: Service Integritymentioning

confidence: 99%

Integrity Assurance of OTA Software Update in Smart Vehicles

Kim

Jung

2019

International Journal on Smart Sensing and Intelligent Systems

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Smart vehicles tend to choose an over-the-air (OTA) software (SW) update service. In an environment with smart vehicles, software malfunctions may have serious consequences such as accidents involving human lives and property loss. Therefore, we must ensure that the software updates in smart vehicles are completed correctly. In this study, we focused on the assurance of both data integrity and service integrity in smart vehicles to improve the OTA SW update service security. To this end, the security features of integrity in smart vehicles were identified and discussed with an emphasis on its potential impact on future vehicular applications.

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“…The e OTA update transfer could also be categorized under V2I communication since the update is generated and transferred from common infrastructure to individual vehicles. The formulated custom modes from cloud analytics are transmitted to vehicles utilized by our ADAS by eradicating the need for additional hardware [ 16 , 17 ]. Utilizing these kinds of software-centric systems offers efficient ADAS even for low-cost vehicles in addition to the sophisticated luxury class of the vehicles which improves safety and reaches the industry’s goal for zero vehicle-related accidents, fatalities, and obsolete comfort for drivers.…”

Section: Introductionmentioning

confidence: 99%

“…As advancement in the network, consensus-based vehicle control algorithms [ 17 ] and CAN-based communication for navigation assistance, electronic payment, and traffic updates [ 29 ] were also proposed. While using such modern sensors and communication protocols, we might be prone to vulnerabilities such as Sybil attacks, blackhole attacks, wormhole attacks, grey hole attacks, DoS attacks, DDoS attacks, GPS spoofing, jamming, malware attacks in the cyber aspect and spoofing, jamming, acoustic quieting, relay attack in sensors and cameras [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability

Suganthi

Kumar

Harish

et al. 2023

Sensors

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In conventional modern vehicles, the Internet of Things-based automotive embedded systems are used to collect various data from real-time sensors and store it in the cloud platform to perform visualization and analytics. The proposed work is to implement computer vision-aided vehicle intercommunication V2V (vehicle-to-vehicle) implemented using the Internet of Things for an autonomous vehicle. Computer vision-based driver assistance supports the vehicle to perform efficiently in critical transitions such as lane change or collision avoidance during the autonomous driving mode. In addition to this, the main work emphasizes observing multiple parameters of the In-Vehicle system such as speed, distance covered, idle time, and fuel economy by the electronic control unit are evaluated in this process. Electronic control unit through brake control module, powertrain control module, transmission control module, suspension control module, and battery management system helps to predict the nature of drive-in different terrains and also can suggest effective custom driving modes for advanced driver assistance systems. These features are implemented with the help of the vehicle-to-infrastructure protocol, which collects data through gateway nodes that can be visualized in the IoT data frame. The proposed work involves the process of analyzing and visualizing the driver-influencing factors of a modern vehicle that is in connection with the IoT cloud platform. The custom drive mode suggestion and improvisation had been completed with help of computational analytics that leads to the deployment of an over-the-air update to the vehicle embedded system upgradation for betterment in drivability. These operations are progressed through a cloud server which is the prime factor proposed in this work.

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IoT-based Software Update Proposal for Next Generation Automotive Middleware Stacks

Cited by 8 publications

References 5 publications

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Integrity Assurance of OTA Software Update in Smart Vehicles

Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability

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