Call for Papers
Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. BIG DATA RESEARCH
2. EMERGING SERVICES AND ANALYTICS
3. INTERNET OF THINGS (IOT) FUNDAMENTALS
4. INTERNET OF THINGS (IOT) APPLICATIONS
5. BIG DATA FOR MULTI-DISCIPLINE SERVICES
6. SECURITY, PRIVACY AND TRUST
7. IOT TECHNOLOGIES
AREA 1: BIG DATA RESEARCH
Modeling, Experiments, Sharing Technologies & Platforms
Analytics, Intelligence and Knowledge Engineering
Software-Defined Networking, Virtual Data Centers and emerging Data Centers
Networking and Social Networks
Data Management for Large Data
Social Science and Implications for Big Data
AREA 2: EMERGING SERVICES AND ANALYTICS
Health Informatics as a Service (HIaaS) for Any Type of Health Informatics, Computation and Services
Big Data as a Service (BDaaS) including Software Frameworks, Empirical Approaches and Data Processing Techniques
Big Data Algorithm, Methodology, Business Models and Challenges
Security as a Service including Any Algorithms, Methodology and Software Proof-of-Concepts
Financial Applications for Risk, Pricing, Disaster Analysis and Predictive Modeling
Tele-education, Tele-working, Tele-medicine and Tele-consulting applications
Analytics as a Service (AaaS) for Any Types of Analytics
eGovernment, eCommerce, eScience and Creative Technologies for IoT and Big Data
IoT Services and Applications
New Service Models and Emerging Services
AREA 3: INTERNET OF THINGS (IOT) FUNDAMENTALS
Software Architecture and Middleware
Recommender Systems, Smart Devices and Location-Awareness
Performance Evaluation and Modeling
Networking and Communication Protocols
Machine to Machine Communications
Energy Efficiency
Software Engineering for IoT and IoE
Machine Learning and Deep Learning Approaches Data Analytics
AREA 4: INTERNET OF THINGS (IOT) APPLICATIONS
Technological Focus for Smart Environments
Smart City Examples and Case Studies
Architecture for Secure and Interactive IoT
Social Implications and Ethics for IoT Intelligence
Systems for IoT and Services Computing
Sensor Networks, Remote Diagnosis and Development
Transportation Management Traffic Theory, Modeling and Simulation
Intelligent Infrastructure and Guidance Systems for Vehicles, Green Systems and Smart City
AREA 5: BIG DATA FOR MULTI-DISCIPLINE SERVICES
Smart City and Transportation
Techniques and methods for post-COVID-19 learning, training and teleworking
Business, Finance and Management
Case Studies of Real Adoption and Inter-disciplinary Research
Healthcare Services, Health Informatics, Biomedical Research and Biological Research of the Pandemic
Social Networks Analysis, Faked News, Blockchain and eGovernment
Healthcare Services, Health Informatics and Biological Research of the Pandemic
AREA 6: SECURITY, PRIVACY AND TRUST
Algorithms, Software Engineering and Development
Encryption (All Aspects)
Firewall, Access Control, Identity Management
Intrusion and Detection Techniques
Case Studies
Data, System, User and Location Privacy
Data Security, Data Recovery, Disaster Recovery
Adoption Challenges and Recommendation
Security, Privacy and Trust
Testing (Software Engineering; Penetration; Product Development)
Experiments on Using Security Solutions and Proof-of-Concepts
Emerging Issues and Recommendations for Organizational Security
Analysis and Vulnerabilty Prevention
Software Engineering for Security Modeling, Business Process Modeling and Analytics
AREA 7: IOT TECHNOLOGIES
Artificial Intelligence
Communication
Data Processing
Internet of Things
Sensors
Communication Protocols
Vehicle-to-Infrastructure
Vehicle-to-Vehicle
Transport Safety and Mobility
IoT in Autonomous and e-vehicles
Drones and integration with 5G/6G
