Cloud big data application for transport

Abstract

International audienceThis paper presents a cloud service oriented approach for managing and analysing big data required by transport applications. Big data analyticsbrings new insights and useful correlations of large data collections providing undiscovered knowledge. Applying it to transport systems brings betterunderstanding to the transport networks revealing unexpected choking points in cities. This facility is still largely inaccessible to small companies due to their limited access to computational resources. A cloud-oriented architecture opens new perspectives for providing efficient and personalised big data management and analytics services to (small) companies

Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs

“…Collected data should be managed appropriately in a C-ITS [11]. Data analysis or mining at the Edge can be performed in different ways.…”

“…The maturity readiness should be considered for the different tools and frameworks incubated. Well-known frameworks could be used for that like Capability Maturity Model Integration (CMMI) 10 , or the Cybersecurity Capability Maturity Model (C2M2) 11 . Internal frameworks could also be developed that better align with C-ITS organisations and systems.…”

“…), they can be easily integrated into the real world. The only difference between CTEF and the real world, apart from the size of the system, is the need for continuous monitoring and security evaluation in a isaca.org/enterprise/performance-improvement-solutions 11 Capability Maturity Model (C2M2) https://www.energy.gov/ ceser/cybersecurity-capability-maturity-model-c2m2 C-ITS environment due to the highly dynamic nature of the system and the ever-changing threat landscape (aligns with Reqs. CR5 and CR5).…”

“…The integration of new tools will enable continuous enhancement of the CTEF's capabilities. Architectures based on concepts like fog computing [9], virtualisation [10] and cloud-native/serverless computing [11] are critical. Our work discusses their importance, adoption and integration within a unified framework.…”