Non-functional requirements elicitation for edge computing

Gupta, Sandeep

doi:10.1016/j.iot.2022.100503

“…The Edge sub-architecture specifies the systems augmenting the cloud systems to perform intermittent operations that can reduce the network latency and enhance the computational performance of CAVs [16]. The key systems are network management, heterogeneous computing platform, time-series database, and power management.…”

Section: Edge Sub-architecturementioning

confidence: 99%

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

Gupta¹,

Maple²

2023

Preprint

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Edge Computing-based Connected Autonomous Vehicles (EC-CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations to transportation ecosystems can bring manyfold benefits from fully autonomous driving services to proactive vehicle monitoring and traffic management. Given the complexity involved in the deployment of EC-CAVs, zero-tolerance safety and security measures must be incorporated to avert vehicle immobilization, road accidents, disclosure of sensitive data, or any potential threats. This paper presents a reference architecture of EC-CAVs to investigate existing and emerging cyber-threats for deriving a common attack taxonomy for the EC-CAVs ecosystem. Subsequently, a comprehensive survey of security mechanisms is presented that can ensure safe and secure transportation of passengers from one destination to another using an EC-CAVs ecosystem.

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“…Moreover, unsupervised learning, reinforcement learning and knowledge-sharing techniques can be exploited for realtime network decisions to address unpredictability [10]. 4) Edge computing capability: Multi-Access Edge Computing (MEC) can employ small base stations (SBSs) and access points having storage and processing capabilities in the Radio Area Network (RAN) for content caching and data computing at the edge of the wireless network [11]. Thus, backhaul traffic load, i.e., the traffic between the BBU (bottom of the tower) located in cell sites and the mobile core unit, can be reduced.…”

Section: Vision For the Next-generation Wireless Networkmentioning

confidence: 99%

The Race for Future Wireless Internet and Socio-Economic Aspects

Gupta¹

2023

Preprint

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Wireless internet are among the fastest-growing segment of the communication industry. It is absolutely necessitated for future wireless internet to reach all terrestrial and aerial spaces covering densely populated areas to entire geographical regions across the globe to bring the cyber and the physical world further closer. The International Telecommunication Union (ITU) recommended that wireless internet research not only considers the technical aspects but also be able to contemplate economic development and societal needs. In this article, we first cover the pivotal technological aspects of 6G and satellite internet for rendering seamless wireless connectivity that can be reliable, affordable, and scalable for emerging use cases. Afterward, we discuss the impact of future wireless communications on economic growth and social benefits aspects.

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“…The Fog sub-architecture specifies the systems augmenting the cloud systems to perform intermittent operations that can reduce the network latency and enhance the computational performance of CAVs [19]. The key systems are network management, heterogeneous computing platform, time-series database, and power management.…”

Section: Fog Sub-architecturementioning

confidence: 99%

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

Gupta¹,

Maple²

2023

Preprint

0

View full text Add to dashboard Cite

Edge Computing-based Connected Autonomous Vehicles (EC-CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations to transportation ecosystems can bring manyfold benefits from fully autonomous driving services to proactive vehicle monitoring and traffic management. Given the complexity involved in the deployment of EC-CAVs, zero-tolerance safety and security measures must be incorporated to avert vehicle immobilization, road accidents, disclosure of sensitive data, or any potential threats. This paper presents a reference architecture of EC-CAVs to investigate existing and emerging cyber-threats for deriving a common attack taxonomy for the EC-CAVs ecosystem. Subsequently, a comprehensive survey of security mechanisms is presented that can ensure safe and secure transportation of passengers from one destination to another using an EC-CAVs ecosystem.

show abstract

Non-functional requirements elicitation for edge computing

Cited by 20 publications

References 83 publications

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

The Race for Future Wireless Internet and Socio-Economic Aspects

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

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