Fog and Cloud in the Transportation, Marine and eHealth Domains

Cankar, Matija; Olivares, Eneko; Markovič, Matevž; Fuart, Flavio

doi:10.1007/978-3-319-75178-8_24

Cited by 3 publications

(1 citation statement)

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“…Therefore, it uses a database with an intelligent machine learning system that can send a notification when it detects an anomaly. A similar solutions can be found in [88] (called Ambient Assisted Living Health Platform (AALHP)) and [89]. Feng et al in [90] propose a Home-based Elderly Care solution that uses 5G mobile network slicing.…”

Section: ) Characteristicsmentioning

confidence: 99%

Verticals in 5G MEC-Use Cases and Security Challenges

et al. 2021

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5G is the fifth-generation cellular network satisfying the requirements IMT-2020 (International Mobile Telecommunications-2020) of the International Telecommunication Union. Mobile network operators started using it worldwide in 2019. Generally, 5G achieves exceptionally high values of performance parameters of access and transmission. The application of edge servers facilitated the implementation of such requirements of 5G, which resulted in 5G MEC (Multi-access Edge Computing) technology. Moreover, to optimize services for specific business applications, the concept of 5G vertical industries has been proposed. In this paper, we study how the application of the MEC technology affects the functioning of 5G MEC-based services. We consider twelve representative vertical industries of 5G MEC by presenting their essential characteristics, threats, vulnerabilities, and known attacks. Next, we analyze their functional properties, give efficiency patterns and identify the effect of applying the MEC technology in 5G on the resultant network's quality parameters to identify the expected security requirements. Finally, we identify the impact of classified threats on the 5G empowered vertical industries and identify the most sensitive cases to focus on their protection against network attacks in the first place.

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Section: ) Characteristicsmentioning

confidence: 99%