Guest Editors
Prof. Ilsun You
Email: ilsunu@gmail.com
Affiliation: Department of Cyber Security, Kookmin University, Seoul, Republic of Korea
Homepage:
Research Interests: security for mobile networks, authentication and access control, formal security analysis, insider threats and information leakage prevention, digital rights management and code protection
Assoc. Prof. Gaurav Choudhary
Email: gauch@dtu.dk
Affiliation: Department of Applied Mathematics and Computer Science, Danmarks Tekniske Universitet, Copenhagen, Denmark
Homepage:
Research Interests: threat intelligence, IoT and CPS security, cyber security, vulnerability assessment, 5G security, and drone security
Summary
The evolution of next-generation computing environments (Edge-6G-Cloud) is accelerating the emergence of Innovative Internet Services (IIS) that go beyond simple information delivery to autonomously perceive, decide, and act. IIS encompasses Physical AI (Embodied AI, Robotics) that blurs the boundaries between physical and digital spaces, Agentic AI that autonomously performs complex tasks on behalf of users, and Blockchain-based Web3 services that realize decentralized trust economies. These services are fundamentally characterized by real-time decision-making and proactive environmental adaptation, enabled by hyper- connectivity and ultra-low latency.
Artificial Intelligence (AI) serves as the cognitive engine of IIS, providing the autonomy and intelligence that define these services. However, the increasing intelligence of services and the decentralization of infrastructures simultaneously expand the cyberattack surface, introducing novel threats such as adversarial attacks on AI models, vulnerabilities in distributed ledgers, and large-scale privacy breaches. Fully realizing the potential of IIS requires the integrated design of intelligent service optimization and self-healing security frameworks.
This Special Issue invites research on the convergence of AI technologies for implementing IIS— represented by Physical AI, Agentic AI, and Web3—and cybersecurity technologies for ensuring their trustworthiness.
Submissions are invited on (but not limited to) the following topics:
1. Foundations of Innovative Internet Services (IIS)
• Architectural paradigms for Physical AI (Embodied AI) and autonomous robotic services
• Agentic AI: Design principles for autonomous, goal-oriented digital agents
• Blockchain and Web3 infrastructures for decentralized internet services
• Cloud-Edge-6G convergence for ultra-low latency IIS applications
2. AI Technologies for IIS
• AI-driven service optimization and adaptive decision-making in distributed environments
• Federated learning and collaborative intelligence for privacy-preserving IIS
• Generative AI and LLM-powered interfaces for next-generation user interaction
• Real-time data processing and inference at the edge for Physical AI systems
3. Security and Trust for IIS
• AI-native security architectures for self-healing and resilient IIS platforms
• Adversarial machine learning and robustness verification for AI-powered services
• Privacy-preserving computation (Differential Privacy, Homomorphic Encryption) in Agentic AI and Web3
• Post-quantum cryptography and quantum-resistant mechanisms for blockchain-based services
• Formal verification of smart contracts and decentralized protocols
• Security of LLM-based services: Prompt injection, output validation, and content filtering
4. Integration and Governance
• Cyber-physical security in Physical AI and robotic service integration
• Trust management and governance frameworks for decentralized Web3 ecosystems
• Performance, energy efficiency, and sustainability of intelligent service infrastructures
Keywords
innovative internet services (IIS), physical AI / embodied AI, agentic AI, Web3 / blockchain, edge-6G-cloud computing, AI-driven service optimization, cybersecurity and trust, federated learning / privacy-preserving AI, generative AI / large language models (LLMs), self-healing and resilient systems
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