SecureEdge6G 2025 1st International Workshop on Trustworthy, Energy-efficient, and Environment-aware Edge Intelligence for Cyber Physical Surveillance in 6G Networks will be held on 11th September 2025, Avignon, France, in conjunction with the IEEE Conference on Communications and Network Security (CNS) 


Scope of the Workshop 

SecureEdge6G 2025 aims to bring together interdisciplinary researchers working on secure, real-time, and energy-efficient surveillance systems at the edge of emerging 6G networks. Building upon recent work in object detection (e.g., YOLOv8, YOLOv9) for intrusion detection and real-time analytics under adverse environmental conditions (low light, fog, etc.), this workshop emphasizes trustworthy edge-AI, physical layer (PHY) authentication, and sustainable, green AI solutions. The workshop addresses key challenges in deploying Intelligent Intrusion Detection Systems (IIDS) and cyber physical security under constrained energy budgets, particularly for batterypowered IoT and edge nodes. With 6G poised to enable highly dependable communication with minimal delay and to facilitate large-scale connectivity for numerous devices and AI-native networking, this workshop explores how future networks can support robust, context-aware, and privacy-preserving surveillance solutions. Topics span secure deployment of AI models at the edge, PHY-layer security mechanisms (e.g., RF fingerprinting, CSI-based user authentication), energy-aware model inference, and adaptive IDS solutions sensitive to environmental conditions. Learning Objectives (max 500 words): 

• Understand the vulnerabilities of AI-powered IDS systems under environmental constraints like luminance, fog, and indoor/outdoor variability. 

• Learn how 6G technologies (e.g., URLLC, Reconfigurable Intelligent Surfaces) can enhance cyber-physical surveillance by rectifying the challenges in 5G.

 • Explore energy-efficient and lightweight AI/ML models for real-time inference on edge devices. 

• Gain insights into PHY-layer authentication mechanisms (e.g., device fingerprinting, CSI) and their integration with IDS.

 • Understand trustworthy AI and explainability in the context of real-time decision-making at the edge. 

Examine design strategies for resilient and decentralized architectures using blockchain, federated learning, and privacy-preserving computing.

 • Case studies, benchmarks, and datasets for reproducible research in energy-efficient, battery-aware, and reliable 6G-enabled technologies for Industry 5.0, Healthcare 5.0, and Transportation 5.0. 

• Novel methods for Adaptive Security and AI-enabled methods for future 6G Wireless Communication Networks for Industrial Applications 5.0 Program Outline: Opening & Welcome Keynote Talk 1: Edge Intelligence for Secure and Energy-efficient Healthcare Applications. 

Session 1: Paper Presentations Potential Audience Security researchers, IoT experts, AI/ML engineers, 5G and 6G system designers, edge computing professionals, smart infrastructure developers, and students. Has the event been presented before? No, this is a new workshop. 


Novelty and Contribution This is the first CNS workshop to holistically address the intersection of AI, 6G, energyefficiency, and PHY-layer security in environmentally challenging surveillance scenarios. It combines practical deployments (e.g., YOLOv8, YOLOv9 for IDS) with cutting-edge research in green and secure-edge computing.

 Call for Papers –Topics of Interest We invite high-quality submissions in (but not limited to) the following areas:

• 6G-driven Cyber Physical Security for Smart Environments 

• Edge AI for Secure and energy-aware Surveillance Systems

 • PHY-layer Authentication for Intrusion Detection

 • Real-time Object Detection under Environmental Constraints 

• Energy-efficient Model Compression and Quantization Techniques 

• Explainable AI and Trustworthiness in IDS 

• Blockchain and Decentralized Privacy in Edge Surveillance 

• Environmental Adaptation in AI-driven IDS (light, weather, indoor/outdoor) 

• Reconfigurable Intelligent Surfaces (RIS) for Physical Layer Security 

• Lightweight AI for 6G-enabled IoT and Surveillance Devices 

• RF Fingerprinting, Channel State Information (CSI) for Device Authentication 

• Benchmarking and Real-world Testbeds for AI-based Edge IDS 

• Edge AI and Lightweight Object Detection (e.g., YOLOv8, YOLOv9) 

• Intrusion Detection in adverse environments, 

• Cybersecurity of AI-driven Surveillance Systems 

• Trustworthy and Explainable AI (XAI) for Edge Surveillance 

• Privacy-preserving IDS and Vision Systems 

• Federated and Decentralized Learning in Surveillance 

• Benchmarking and Testing of Edge AI in the Wild 

• Environmental-aware AI Systems 

• Secure Architectures for Real-time Cyber-Physical Security 

• Edge Security for Smart Cities and Industrial IoT 

• 6G-driven PHY Layer authentication for wearable devices in pervasive healthcare. 

• Blockchains for Industry 5.0, transportation 5.0, and healthcare 5.0 

Important Dates: 

• Deadline for Paper Submission for Workshops: 15th July 2025 

• Notification of Workshop Paper Acceptance: 25 July 2025 

• Deadline for Final Paper Submission for Workshops: 5 August 2025 


Submission Instructions

All papers shall be submitted via EDAS. Submitted papers must represent original material that is not currently under review in any other conference or journal, and has not been previously published. All submissions must be written in English with a maximum paper length of 6 pages and formatted according to the two-column IEEE conference format. For the templates, please refer to the IEEE page here



Workshop Chairs

Kristianstad University, 29188-Kristianstad, 

Sweden Email: ali.hassan_sodhro@hkr.se 


Abdullah.lakhan@duet.edu.pk

Whatsapp: +92306620973