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ICCNS 2023 : The International Conference on Intelligent Computing, Communication, Networking and Services | |||||||||||||||
Link: http://iccns-conference.org/2023/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Call for Papers
New advancements in wireless communication systems such as Fifth-Generation (5G), Beyond Fifth-Generation (B5G), and Sixth-Generation (6G) networks will allow for new and unprecedented services to be made available for users with nearly unlimited capacity. These services will be the core driver for future digital transformation of our cities and communities. This will be accompanied by a ubiquitous deployment of Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and in the cloud. This computing infrastructure will handle the processing of data generated by users and services. Such a complex and diverse system will require the applications running on the computing/networking infrastructure to be Intelligent, efficient and sustainable. Additionally, the infrastructure will require smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role in the design, deployment, automation, and management of future services. This will include applications that will be running on the edge and on cloud servers, networking applications to handle the flow of data between the users and the computing system, and 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 state of the art research in the intersections of Computing, Networking, and Services that are 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 are 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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