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ICCNS 2024 : The International Conference on Intelligent Computing, Communication, Networking and Services


When Sep 24, 2024 - Sep 27, 2024
Where Dubrovnik, Croatia
Submission Deadline May 15, 2024
Notification Due Aug 5, 2024
Final Version Due Aug 25, 2024
Categories    intelligent computing   communication   networking   machine learning

Call For Papers

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 01: 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 02: 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 03: 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

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 04: 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 05: 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 06: 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

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