?? Diving Deeper into AI/ML Security in 6G Following the release of D3.1: Threat Assessment and Prevention Report, the ROBUST-6G team has published a blog post exploring key insights from the report. The post highlights potential security risks in AI/ML-driven 6G networks, attack vectors, and possible mitigation strategies shaping future secure architectures. It also sheds light on the methodology and collaborative efforts behind the assessment. Curious to learn more? Read the full blog post here: ?? https://lnkd.in/dxCCqYcz #ROBUST6G #6G #AI #ML #6GSecurity #TrustworthyAI
关于我们
Welcome to the official LinkedIn page of ROBUST-6G, a cutting-edge project at the forefront of shaping the future of 6G networks! About ROBUST-6G: As we navigate the anticipated era of 6G, characterized by the convergence of digital and physical realms, ROBUST-6G stands as a pioneering initiative to address the evolving challenges and opportunities. 6G is poised to revolutionize the landscape, catering to demanding applications such as holographic telepresence and immersive communication. Key features include joint sensing and communication, programmability, intelligent management, reduced energy footprint, scalability, and affordability. Our Mission: ROBUST-6G aims to meet the diverse needs of 6G use cases by developing highly programmable, adaptable, and efficient networks. Recognizing the complexity introduced by enhanced efficiency, programmability, and flexibility, we advocate for a paradigm shift toward complete automation of network and service management. Cybersecurity at the Core: With the unprecedented expansion of the 6G threat landscape, ROBUST-6G places a significant focus on cybersecurity. We are committed to introducing cutting-edge approaches for security management at the service, infrastructure, and physical layers. Our goal is to implement a fully automated end-to-end smart network and service security management framework, leveraging Zero-touch network and Service Management (ZSM) and Artificial Intelligence/Machine Learning (AI/ML) techniques.
- 网站
-
https://robust-6g.eu/
ROBUST-6G的外部链接
- 所属行业
- 电信业
- 规模
- 11-50 人
- 类型
- 合营企业
- 创立
- 2023
ROBUST-6G员工
动态
-
?? Exploring the Future of Secure 6G Networks ?? ROBUST-6G continues to explore next-gen security with our latest insights from Deliverable 2.2! ?? In this blog, we dive into security mechanisms for 6G network resilience, automation, and AI-driven threat detection. Don't miss our latest findings shaping the future of secure communications. ?? Read more: https://lnkd.in/gPZjN-35 #6G #6Gsecurity #AI #ROBUST6G #
-
-
?? How can Reflective Intelligent Surfaces (RIS) enhance security in 6G networks? As part of the ROBUST-6G project, Prof. Stefano Tomasin from Università degli Studi di Padova explores the role of RIS in strengthening wireless security. This technology can: ? Improve network coverage by directing signals intelligently ? Enhance security through physical layer security techniques ? Protect against eavesdropping and jamming attacks ? Support authentication and secure key generation The ROBUST-6G project is actively researching both the opportunities and challenges of using RIS for security, including developing a threat matrix to guide future research. ?? Watch the full video here: https://lnkd.in/dHufHk3j #ROBUST6G #6GSecurity #RIS #WirelessSecurity #FutureNetworks #SNSJU
Security with Reflective Intelligent Surfaces
https://www.youtube.com/
-
?? ROBUST-6G's 4th Plenary Meeting ?? ? Last week, we held the 4th Plenary Meeting of the ROBUST-6G project! ?? The online gathering brought together our consortium partners to align on the latest developments and key milestones as we move toward the upcoming Project Review Meeting in March 2025. ? During the session, we: ? Reviewed progress across all work packages ? Discussed technical advancements and challenges ? Aligned our strategies for the upcoming review ? A big thank you to all partners for their dedication and valuable contributions! Gunes Fatma KES?K Dr. ?mer Faruk Tuna Betül Güven? Paltun Ramin Fouladi Mustafa Riza Akdeniz Bilal ?i?ek Leyli Kara?ay Lucía Cabanillas Rodríguez Diego R. Lopez Bart Siniarski Madhusanka Liyanage Farah Abed Zadeh Shen Wang Pasika Ranaweera Charilaos Zarakovitis Arsenia (Ersi) Chorti Luan CHEN Sara Berri Marios Kountouris Ioannis Pitsiorlas Cem Ayyildiz Ozgul Ayyildiz, PhD Fatih Emre YILDIZ Nikolaos Pappas Eunjeong Jeong Pietro Giuseppe Giardina Giada Landi Marco Ruta Enrico Alberti Louis Cailliot Dhouha Ayed Pascal Bisson Manuel Gil Perez José María Jorquera Valero Alberto García Pérez Stefano Tomasin Michele Rossi Giovanni Perin #ROBUST6G #HorizonEurope #6G #FutureNetworks #ResearchAndInnovation #SNSJU #6GSecurity
-
-
?? New Blog Post Alert: Dive into ROBUST-6G Deliverable D2.1! We've just published an in-depth blog post "Unveiling the Future of 6G Security with ROBUST-6G’s Threat Analysis" on our "6G Threat Analysis Report" (Deliverable D2.1). Explore how our latest analysis tackles emerging vulnerabilities in next-generation 6G networks and sets the stage for a more secure digital future. If you're keen on understanding the evolving threat landscape and proactive strategies for 6G security, this is a must-read! ?? Read the Blog Post: https://lnkd.in/dW_Wd6KA #6G #CyberSecurity #6GThreatAnalysis #ROBUST6G #BlogPost #SNSJU
-
?? ROBUST6G project has released D6.1: Use Case Validation Plan and Testbed Design. This deliverable defines the integration, validation, and testing methodologies for the project architecture, ensuring robustness, security, and scalability. Key highlights: ? Comprehensive validation of use cases & components ? Scenario-based testing, end-to-end validation & stress testing ? Testbed setup for innovations in: ?? AI/ML & Federated Learning ?? Physical Layer Security ?? Security Orchestration With this validation framework, ROBUST-6G ensures that all solutions undergo rigorous assessment, aligning with project objectives & KPIs. ???? To access the ROBUST-6G deliverables, you can visit: https://lnkd.in/daXSte8F #6G #CyberSecurity #AI #FederatedLearning #NetworkSecurity #Innovation
-
?? ROBUST-6G published Deliverable 5.1: Library of Known PHY Attacks and PLS Datasets. ?? This deliverable explores Physical Layer Security (PLS) challenges in 6G, linking key threats with emerging technologies such as: ?? D-MIMO ?? Reconfigurable Intelligent Surfaces (RIS) ?? Sub-THz communications Key highlights: ?? Maps threats like Spoofing, Tampering, Repudiation, Information Disclosure, and DoS to relevant datasets ?? Introduces new datasets, including the RF Fingerprinting Migration Dataset ?? Identifies gaps, particularly in Repudiation & DoS threats ?? Ensures validated datasets for open access via platforms like Zenodo This work is a step toward securing the physical layer of 6G networks and supporting future research in robust & resilient wireless communication! ???? To access the ROBUST-6G deliverables, you can visit: https://lnkd.in/daXSte8F #6G #CyberSecurity #PLS #6GSecurity #SNSJU
-
?? ROBUST-6G Deliverable 4.1: Security Automation for 6G is published! ?? This deliverable lays the groundwork for the ROBUST-6G Zero-Touch Security Platform, designed to bring security to complex multi-domain and multi-stakeholder 6G environments. It introduces four key mechanisms that serve as the foundation of the security platform: ? Security service & resource orchestration ?? Programmable pervasive monitoring ?? Threat/anomaly detection & prediction ?? Closed-loop-based security automation With these pillars, we move closer to a resilient and autonomous security framework for next-generation networks! ?? To access the ROBUST-6G deliverables, you can visit: https://lnkd.in/daXSte8F #6G #CyberSecurity #SecurityAutomation #AI #ZeroTouch #NetworkSecurity #SNSJU #6GSecurity
-
?? ROBUST-6G just released Deliverable 3.1: Threat Assessment and Prevention Report. ??? This report focuses on the trustworthiness of Artificial Intelligence (AI) and Machine Learning (ML) systems, specifically within the context of 6G networks. It: ?? Assesses security threats to AI/ML in 6G, building on insights from D2.1 ? Explores privacy and security threats that could compromise sensitive information ??? Outlines prevention mechanisms to mitigate risks and ensure robust AI/ML systems With this deliverable, we aim to protect privacy and data security, ensuring that AI/ML systems in 6G networks remain reliable and secure. ???? To access the ROBUST-6G deliverables, you can visit: https://lnkd.in/daXSte8F #AI #MachineLearning #CyberSecurity #Privacy #6G #6GSecurity #SNSJU
-
?? ROBUST-6G released Deliverable 2.2: Use Cases, Requirements, Initial Architecture, and Initial ROBUST-6G Dataspace. ???? This deliverable defines three key use cases that will drive the development of crucial technical drivers in ROBUST-6G, focusing on: ?? Data management and governance ?? Trustworthy & sustainable AI techniques ?? Zero-touch security management ?? Physical layer security Alongside these use cases, we outline requirements that form the foundation for designing the architecture of ROBUST-6G components. The goal? To ensure robust security and trust in 6G networks while fostering collaboration across multiple domains, complying with privacy regulations, and addressing the complexities of cybersecurity. The dataspace architecture also takes shape in this report, laying the groundwork for ensuring security and trustworthiness in the entire network infrastructure. ?? To access the ROBUST-6G deliverables, you can visit: https://lnkd.in/daXSte8F #6G #AI #DataGovernance #Security #Privacy #Sustainability