CyberC (IEEE TCCC) 2024 – The 16th Int. Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

CyberC (IEEE TCCC) 2024 – The 16th Int. Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

IEEE Conference Record #: 62439

Location & Date: Guangzhou, China, October 24-26, 2024

Web: www.Cyberc.org

IEEE TCCC: https://cs-tccc.org/

Publication: IEEE (EI & IEEE Xplore)

Paper Submission: Send the manuscript to Papers@cyberc.org

Paper Publication Date: 10/24/2024

2024 Theme: Revolutionizing Computing and Communication in the AI Era

Organizer: Hong Kong University of Science and Technology – Guangzhou

Co-hosted by: IEEE TCCC (Sponsor), IEEE Computer Society (Sponsor), University of Louisville, Nanjing University of Posts & Telecommunications, Zhengzhou University, Guangzhou University, and Xi’an Jiaotong-Liverpool University

Financially Sponsored by: Huawei, ZTE, InfoBeyond, Hong Kong Univ. of Sci. and Tech. (Guangzhou)

Programs: CyberC 2024 includes Emerging Technology Summit, Keynotes, Panel Discussions, Tutorials, PhD workshops, AI & Big Data Competition, Best Paper awards, Competition Prizes, and Ceremony.

Scopes: CyberC promotes the research areas covered by the following tracks:

Track 1: AI, Machine Learning, Deep Learning, Autonomy, and Intelligence

• AI & machine learning theory, architecture, and system

• Soft computing, neural network, convolutional neural network, and deep learning

• Intelligence computing, inductive learning, reasoning

• Ensemble and evolutionary computation

• Large scale natural language processing

• Data analytics, social media, and web mining

• Fuzzy set theory, fuzzy controls and systems

• Feature engineering, feature learning, and feature fusion

• Web computing, intelligent and knowledge based systems

• Distributed and parallel systems & algorithms

• Database and data mining and analytics

• Pattern recognition and multimedia

• Data streaming and storage, and data analytics

• AI boundary and ethnicity challenges

Track 2: Mobile Computing, Communications, 5G and Beyond

• Spectrum sensing, fusion, decision-making and allocation

• Signaling process, PHY/link layer protocols and optimization

• Resource optimization, network, and distributed network computing

• Dynamic spectrum access, spectrum sharing, spectrum management

• AI/ML for cognitive radio network

• VNF/SDN (NFV, VIM, VNFs, service function chaining, network slicing, and Open Flow)

• Quantum communications, and network computing resources

• Quantum Computing in Disrupting the Moore’s Law

• Application of Quantum Computing in Cyber Security

• Quantum Computing in Large Scale AI.

• Sensor networks, mesh networks, MIMO and 6G

• Edge computing, IoT connectivity, and energy harvesting

• LEO (Low Earth Orbit) satellite/HAPS (High Altitude Platform System) Communication & its scale and applications

• LEOS/HAPS communication integration with terrestrial mobile networks

• LEOS/HAPS communication network neliability

• Industrial IoT, e.g., manufacturing, logistics, and supply chain

• Industry control network, networking theory and algorithms

• Wireless embedded sensor systems, body sensor, smart cities & security

• Cognitive radio and Soft defined radio

• Future generation communications and pervasive computing

• Peer-to-peer network computing and overlaying networks

• Directional antenna and networking

• FDMA/OFDMA modulations, synchronization, and power optimization

• Security & privacy, attacking models, confidentiality & security in communications

• Services, middleware, and multimedia on wireless networks

• QoS, reliability, performance, and communication theory

• Wireless network simulations, implementation, and applications

Track 3: Cloud computing, information system, and distributed computing

• Parallel and distributed algorithms, resource allocation, and load-balance

• Public and private cloud, mobile cloud, mobility-aware cloud data/streams

• SOA, web services, and mobile services (software, infrastructure)

• Cloud resource management and allocation

• Cloud utility models and service pricing

• New parallel/concurrent programming models for cloud computing

• Scientific computation and other applications in the cloud

• Mobility modeling, management and measurement for mobile clouds

• Mobile multimedia content delivery, transferring, and migration

• Content delivery networks using storage clouds

• User experience and cyber security

• Performance evaluation, measurement and optimization

• Communications and network security

• Information security, software security, system security, or cryptography

• Cloud tools, test-bed, simulations, and experimental environments

• Collaborative and cooperative environments

• Cloud QoS, autonomic, reliability, and fault-tolerance

• Web services and internet computing

• Web-caching, content delivery systems and data distribution systems

• Distributed applications, modeling language, and software engineering

• Pervasive/ubiquitous computing and intelligence

• Hyper performance of cloud computing & latency challenges

• ETE large scale cloud computing reliability

Track 4: Computer Vision and Image Processing

• AI for computer vision and image processing

• NLP, image, vision learning, and deep learning

• Texture image representation and classification

• Image filtering and enhancement

• Image segmentation

• Object detection and recognition

• Tracking and motion analysis

• Image synthesis, 3D reconstruction and modeling

• Stereo vision and depth estimation

• Face recognition and biometrics

• Scene understanding and semantic segmentation

• Image and video compression

• Image and video restoration and super-resolution

• Optical character recognition

• Medical image analysis and processing

• Document analysis and recognition

• Video analysis and summarization

• Augmented reality and virtual reality

• Color, multispectral, and hyperspectral imaging

• Medical image computing

• Sensing, representation, modeling, and registration

• Stereoscopic, multiview, and 3D processing

• Biometrics, forensics, and security

Track 5: NLP, knowledge discovery, computational semantics

• NLP, lexical semantics, compositional semantics

• Semantic parsing, textual inference, entailment

• Question answering, event learning, causal and temporal relations,

• Knowledge mining and acquisition

• Text & data streaming, scalable computing, task deployments

• Information extraction, retrieval, and learning

• Multilingual and cross-lingual semantics

• Word sense disambiguation and induction

• Formal approaches to semantics

• Semantics in NLP applications and higher level NLP applications

• Text and speech processing

• Morphological analysis, syntactic analysis, lexical semantics, and discourse

• High performance computing, and intensive data networks

• Discourse, pragmatics, and dialogue

• Social media and social network analytics

• NLP computing security and information assurance

• Graph learning, mining, and opinion mining

• Cloud and high performance computing for big data

Track 6: Privacy, Security, and Cybersecurity

• Privacy enhancing, policy, access control, and regulation

• Privacy with surveillance, big data, machine learning, and IoT

• Privacy for healthcare, human-computer interaction, and other applications

• Network security, cybersecurity risk assessment, malware analysis

• Cryptography, cryptographic algorithm, post-quantum cryptography

• Attacks, DDoS, ransomware, and cybersecurity attacks and detection

• Cyber network, configuration, cloud, IoT, and wireless communications

• Multistage attacks, data security, AI and intrusion detection

• Risk assessment, management, and network monitoring

• Blockchain, cryptocurrency, smart contracts, identity management, and voting

• Blockchain applications, e.g., smart grid, healthcare, industrial control systems

• Cyber authentication and access control

• Deep learning for attack behavior, prediction, and game theory

• AI/ML and deep learning for security and privacy

• Cybersafety and privacy, standardization, compliance and forensics

Track 7: Metaverse architecture, intelligence, and applications

• Metaverse architectures and metaverse computing

• Edge/fog/cloud computing and distributed network systems for metaverse

• Augmented reality, mixed reality, and virtual reality for Metaverse

• Metaverse content creation, distribution, and management

• Future communications and networking for metaverse

• Intelligent metaverse technologies & applications

• AI, machine learning, deep learning, and NLP for metaverse

• Metaverse data privacy and security in AI-driven applications

• Metaverse for conference, education, entertainment, marketing, and other applications

• Blockchain technologies to support metaverse ownership and security

• Digital-twins and metaverse

INFORMATION FOR AUTHORS

The CyberC 2024 Proceedings will be published by IEEE CPS. Full papers for CyberC 2024 must not exceed 10 pages of IEEE 2-column format, while short papers must not exceed 4 pages. Please visit the conference web site at http://www.cyberc.org for precise formatting and submission instructions.

IMPORTANT DATES

Submission deadline: 08/20/2024

Notification of acceptance: 09/10/2024

Registration due date: 09/20/2024

Conference date: 10/24/2024-10/26/2024

STEERING COMMITTEE

Anup Kumar (Chair), University of Louisville, USA

Suryadip Chakraborty, Johnson C. Smith Univ., USA

Chi-Ming Chen, AT&T Labs, USA

Chih-Lin I, China Mobile, China

Yang Yang, ShanghaiTech, China

Jiangzhou Wang, University of Kent, UK

Tzyh-Jong (TJ) Wang, AT&T Labs, USA