Research on vehicle-to-everything (V2X) is attracting significant attention nowadays, driven by the recent advances in beyond-5G (B5G) networks and the multi-access edge computing (MEC) paradigm. However, the inherent heterogeneity of B5G combined with the security vulnerabilities of MEC infrastructure in dynamic V2X scenarios introduces unprecedented challenges. Efficient resource and security management in multi-domain V2X environments is vital, especially with the growing threat of distributed denial-of-service (DDoS) attacks against critical V2X services within MEC. Our approach employs the zero-touch network and service management (ZSM) standard, integrating autonomous security into end-to-end (E2E) slicing management. We consider an entire 5G network, including vehicular user equipment, radio access networks, MEC, and core components, in the presence of DDoS targeting V2X services. Our framework complies with security service-level agreements (SSLAs) and policies, autonomously deploying and interconnecting security sub-slices across domains. Security requirements are continuously monitored and, upon DDoS detection, our framework reacts with a coordinated E2E strategy. The strategy mitigates DDoS at the MEC and deploys countermeasures in neighboring domains. Performance assessment reveals effective DDoS detection and mitigation with low latency, aligned with the mission-critical nature of certain V2X services. This work is part of ETSI ZSM PoC “security SLA assurance in 5G network slices”.

In the rapidly evolving landscape of telecommunications, the integration of commercial 5G solutions and the rise of edge computing have reshaped service delivery, emphasizing the customization of requirements through network slices. However, the heterogeneity of devices and technologies in 5G and beyond networks poses significant challenges, particularly in terms of security management. Addressing this complexity, our work adopts the Zero-touch network and Service Management (ZSM) reference architecture to enable end-to-end automation of security and service management in Beyond 5G networks. This paper introduces the ZSM-based framework, which harnesses software-defined networking, network function virtualization, end-to-end slicing, and orchestration paradigms to autonomously enforce and preserve security service level agreements (SSLAs) across multiple domains that make up a 5G network. The framework autonomously manages end-to-end security slices through intent-driven closed loops at various logical levels, ensuring compliance with ETSI end-to-end network slice management standards for 5G communication services. The paper elaborates with an SSLA-triggered use case comprising two phases: proactive, wherein the framework deploys and configures an end-to-end security slice tailored to the security service level agreement specifications, and reactive, where machine learning-trained security mechanisms autonomously detect and mitigate novel beyond 5G attacks exploiting open-sourced 5G core threat vectors. Finally, the results of the implementation and validation are presented, demonstrating the practical application of this research. Interestingly, these research results have been integrated into the ETSI ZSM Proof of Concept #6: ’Security SLA Assurance in 5G Network Slices’, highlighting the relevance and impact of the study in the real world.

Multi-angle video recordings are of significant interest as they provide comprehensive and synchronized data from multiple perspectives. This enables advanced analysis and modeling in environments with complex conditions due to their dynamics or the presence of obstacles, which lead to occlusions or loss of information in single-camera setups. This dataset comprises video footage of vehicular and pedestrian activity from three complementary viewpoints: A vehicle-mounted camera, a road side unit-mounted surveillance camera, and a drone-mounted camera. The dataset can be used in several domains including object, event, and activity recognition and tracking, urban analysis and planning, digital twinning, as well as semantic communication. To demonstrate its usefulness, standardized metrics are employed to provide quantitative evidence of the dataset's quality and reliability in comparison with existing datasets. The multi-modal nature of the footage paves the way for novel research in sensor fusion architectures and multi-scale modeling, critical for next-generation smart urban infrastructures.

The transition to sixth-generation (6G) networks introduces unprecedented demands for security and trustworthiness, exceeding current paradigms. While global initiatives in Asia (e.g., 6GIC, NICT) and North America (e.g., Next G Alliance) have established key security priorities, this survey departs from solution-centric analyses by focusing on foundational shortcomings in current 6G security efforts, grounded in practical implementation evidence from European Smart Networks and Services (SNS) projects. We identify critical limitations in five key areas, including cross-domain trust anchoring and compliance-aware system design, which often stem from structural barriers such as computational complexity and regulatory misalignment. We operationalize the severity of these gaps using key trustworthiness metrics such as Mean Time To Recovery (MTTR), Differential Privacy Level (∈), and Anomaly Detection False Negative Rate (FNR). In response, we propose a research roadmap linking each identified gap to its implementation barriers. Crucially, we explicitly translate these pathways into actionable standardization recommendations for 3rd Generation Partnership Project (3GPP), European Telecommunications Standards Institute (ETSI) Zero touch network and Service Management (ZSM), and International Telecommunication Union (ITU-T). By examining where and why current approaches fall short, this work establishes a foundation for building truly secure, trustworthy, and regulation-aware 6G networks.