Conference Information
ICCNS' 2024: International Conference on Intelligent Computing, Communication, Networking and Services
https://iccns-conference.org/2024/index.php
Submission Date:
2024-05-15
Notification Date:
2024-08-05
Conference Date:
2024-09-24
Location:
Dubrovnik, Croatia
Viewed: 3205   Tracked: 0   Attend: 1

Call For Papers
With the advancements in wireless communication systems like Fifth Generation (5G), beyond 5G (B5G) and the Sixth Generation (6G), new and unprecedent services will be available for users with nearly unlimited capacity. These services will be the core driver of the future digital transformation of our cities and communities. This will be accompanied by a ubiquities deployment of the Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and at the cloud. The computing infrastructure will be handling the processing of the data generated by the users and services. Such a complex and diverse system will require an efficient and sustainable applications running on the computing\Networking infrastructure and also a smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role on the design, deployment, automation and management of the future services. This will include the applications that will be running on the edge and the cloud servers, the networking applications to handle the flow of data between the users and the computing system and the intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking and Services is aiming to provide an opportunity to present the state of the art research in the intersections of Computing, Networking and Services that is supported by Artificial Intelligence. Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but not limited to:

    Track 1: Artificial Intelligence Fundamentals  
        Artificial Intelligent Systems
        Artificial Intelligent Theory
        Artificial Intelligent applications in Computers and Communications
        Artificial Intelligent and Robotics Technologies
        Artificial Intelligent and cloud computing
        Artificial Intelligent for Economic paradigms and game theory
        Machine and Deep Learning of Knowledge
        Artificial Intelligent based Distributed Knowledge and Processing
        Artificial Intelligent for Human-Robot Interactions

    Track 2: Intelligent Internet of Things and Cyber-Physical Systems
        Intelligent IoT Applications and Services
        Intelligent security for the Internet of Things and cyber-physical systems
        Intelligent Internet of Things architectures and protocols
        Intelligent Cyber Physical Systems (CPS)
        Blockchain-based application in Intelligent Manufacturing: Industrial Internet of Things,
        Blockchain and Secure Critical Infrastructure with Industry 4.0
        Intelligent manufacture and management
        Consensus and mining algorithms suited for resource-limited IoTs
        Blockchain-based Controlled mobility and QoS
        Blockchain-based energy optimization techniques in WSN
        Blockchain-based Software defined networks

    Track 3: Edge Intelligence and Federated Learning
        Distributed and federated machine learning in edge computing
        Theory and Applications of Edge Intelligence
        Middleware and runtime systems for Edge Intelligence
        Programming models compliant with Edge Intelligence
        Scheduling and resource management for Edge Intelligence
        Data allocation and application placement strategies for Edge Intelligence
        Osmotic computing with edge continuum, Microservices and MicroData architectures
        ML/AI models and algorithms for load balancing
        Theory and Applications of federated learning
        Federated learning and privacy-preserving large-scale data analytics
        MLOps and ML pipelines at edge computing
        Transfer learning, interactive learning, and Reinforcement Learning for edge computing
        Modeling and simulation of EI and edge-to-cloud environments
        Security, privacy, trust, and provenance issues in edge computing
        Distributed consensus and blockchains at edge architecture
        Blockchain networking for Edge Computing Architecture
        Blockchain technology for Edge Computing Security
        Blockchain-based access controls for Edge-to-cloud continuum
        Blockchain-enabled solutions for Cloud and Edge/Fog IoT systems
        Forensic Data Analytics compliant with Edge Intelligence

    Track 4:Intelligent Networking in Beyond 5G (B5G) and 6G Wireless Communication
        Intelligent Networking in Beyond 5G/6G Network Architectures
        large-scale Internet of Things in B5G/6G
        Vehicular networks in B5G/6G
        Blockchain with lightweight computation
        Service and applications for vehicular clouds in B5G/6G
        Future internet architectures for B5G/6G
        Intelligent networking services
        Emerging networks in B5G/6G
        Byzantine-tolerant FL
        Churn-tolerant FL
        FL for NGN and 6G
        B5G/6G based IoT healthcare systems

    Track 5: Intelligent Big Data Management and Processing
        Intelligent Data Fusion
        Intelligent Analytics and Data mining
        Intelligent Distributed data management
        Distributed transaction for blockchain
        Intelligent Data Science and Data Engineering
        Protocols for management and processing of data

    Track 6: Intelligent Security and Privacy
        Authentication and authorization
        Applications of blockchain technologies in digital forensic
        Privacy technologies
        Blockchain-based threat intelligence and threat analytics techniques
        Blockchain-based open-source tools
        Forensics readiness of blockchain technologies
        Blockchain Attacks on Existing Systems
        Blockchain Consensus Algorithms
        Blockchain-based Intrusion Detection/Prevention
        Security and Privacy in Blockchain and Critical Infrastructure
        Attacks on Blockchain and Critical Infrastructure
        Blockchain and Secure Critical Infrastructure with Smart Grid

    Track 7: Blockchain Research & Applications for Intelligent Networks and Services
        State-of-the-art of the Blockchain technology and cybersecurity
        Blockchain-based security solutions of smart cities infrastructures
        Blockchain in connected and autonomous vehicles (CAV) and ITS)
        Blockchain Technologies and Methodologies
        Recent development and emerging trends Blockchain
        New models, practical solutions and technological advances related to Blockchain
        Theory of Blockchain in Cybersecurity
        Applications of blockchain technologies in computer & hardware security
        Implementation challenges facing blockchain technologies
        Blockchain in social networking
        Performance metric design, modeling and evaluation of blockchain systems
        Network and computing optimization in blockchains
        Experimental prototyping and testbeds for blockchains
        Blockchain networking for Edge Computing Architecture
        Blockchain technology for Edge Computing Security
        Blockchain-based access controls for Edge-to-cloud continuum
        Blockchain-enabled solutions for Cloud and Edge/Fog IoT systems
        Forensic Data Analytics compliant with Edge Intelligence
Last updated by Dou Sun in 2024-03-25
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