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CyberC 2021 : Special Issue on Cyber-Enabled Distributed Computing and Knowledge Discovery

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Link: https://www.mdpi.com/journal/sensors/special_issues/CyberC
 
When N/A
Where N/A
Submission Deadline Jan 31, 2020
Categories    big data   deep learning   blockchain   security
 

Call For Papers

CyberC promotes the in-depth exploration of the most recent research and development findings in the field of big data, distributed computing, clouds, cybersecurity, pervasive computing, mobile computing, the Internet of Things, and other cyber-relevant technologies. CyberC welcomes the participation of the industry to showcase and commercialize their relevant technology and products. Scientists, engineers, and students in the areas are encouraged to get involved. In addition to CyberC 2020/2021 papers, other independent submissions are also welcome. You are cordially to submit your original papers in, but not limited to, the following topics:

Cyber network, configuration, cloud, IoT, and wireless communications;
DDoS, ransomware, and cybersecurity attacks and detection;
Multistage attacks, data security, AI, and intrusion detection;
Risk assessment, management, and network monitoring;
Authentication and access control;
Learning model for attack behavior, prediction, and game theory;
IoT and security;
Deploying machine learning and AI to enhance security and privacy;
Cybersafety and privacy;
Blockchain theory and its applications (smart grid, healthcare, ICS, etc.);
Deploying machine learning and AI to enhance security and privacy;
Cybersafety and privacy, standardization, compliance, and forensics;
Moving target defense, image, and target detection;
Cyber Data and Analytics

Big data algorithms, models, and systems for big data;
AI, neural networks, deep learning;
Machine learning and big data architecture and analytics;
Big data software design, middleware, and analytics;
High-performance computing and intensive data networks;
Massive data streaming, scalable computing, big data task deployments;
Cloud and high-performance computing for big data;
Data retrieval, storage, query, communications, and databases;
Data preservation, filter, provenance, and assurance;
Data security, protection, integrity, and privacy standards and policies;
Graph mining and opinion mining, and distributed data mining;
Data streaming, multimedia, stream, or web mining;
Image/multimedia data management;
Social media and social network analytics;
Security and information assurance for big data;
Blockchain applications on edge computing, industry 4.0, IoT, and smart cities;
Edge computing and blockchain for industry;
Edge computing and blockchain for supply chain brain;
Edge computing algorithms;
Cyber and Distributed Computing

Authentication, trust, privacy, and other cybersecurity issues;
Parallel and distributed algorithms, resource allocation, and load balance;
Cloud computing, mobile cloud, mobility-aware cloud data/streams;
SOA, web services, and mobile services (software, infrastructure);
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;
5G and Mobile Computing

Wireless networks, mesh networks, MIMO, and 5/6G;
Industry control network, networking theory, and algorithms;
Wireless embedded sensor systems, body sensor, smart cities, and security;
Cognitive radio and SDR;
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;
Mobile IP and Internet technology;
Key, attacking models, privacy, confidentiality, and security in mobile networks;
Communication, services, middleware, and multimedia on wireless networks;
QoS, reliability, performance, and communication theory;
Wireless network simulations, implementation, and applications;
Cyber Computing and Clouds

Autonomic, real-time, and self-organizing clouds;
Architectural models for public and private cloud computing;
Cloud resource management and allocation;
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 cybersecurity;
Performance evaluation, measurement, and optimization;
Communications and network security;
Information security, software security, system security, or cryptography;
Tools, testbed, simulations, and experimental environments;
Collaborative and cooperative environments;
QoS, Autonomic, reliability, and fault tolerance.

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