The 12th International Conference on Internet of Things, Big Data and Security (IoTBDS 2027) focuses on the intersection of the Internet of Things (IoT) and Big Data, addressing the challenges of data analysis, security, privacy, and trust as IoT technologies evolve.
Key Topics
- Emerging services and analytics
- Big Data as a Service (BDaaS) including Frameworks, Empirical Approaches and Data Processing Techniques
- Health Informatics as a Service (HIaaS) for Any Type of Health Informatics, Computation and Services
- Security as a Service including Any Algorithms, Methodology and Software Proof-of-Concepts
- Big Data Algorithm, Methodology, Business Models and Challenges
- Education as a Service (EaaS) including eLearning and Educational Applications
- Financial Software as a Service (FSaaS) including Risk and Pricing Analysis; Predictive Modeling
- Analytics as a Service (AaaS) for Any Types of Analytics
- Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT and Big Data
- EGovernment, eCommerce, eScience and Creative Technologies for IoT and Big Data
- Scheduling, Service Duplication, Fairness, Load Balance for SaaS and Analytics
- New Service Models and Emerging Services
- IoT Services and Applications
- Big data research
- Modeling, Experiments, Sharing Technologies & Platforms
- Big Data Fundamentals: Volume, Velocity, Variety, Veracity and Value
- Data Center Enabled Technologies
- Analytics, Intelligence and Knowledge Engineering
- Data Management for Large Data
- Networking and Social Networks
- Social Science and Implications for Big Data
- Software Frameworks (MapReduce, Spark Etc) and Simulations
- Internet of things (IoT) applications
- Smart City Examples and Case Studies
- Technological Focus for Smart Environments
- Intelligent Infrastructure and Guidance Systems for Vehicles, Green Systems and Smart City
- Architecture for Secure and Interactive IoT
- Transportation Management Traffic Theory, Modeling and Simulation
- Sensor Networks, Remote Diagnosis and Development
- Systems for IoT and Services Computing
- Social Implications for IoT Intelligent
- Internet of things (IoT) fundamentals
- Context-Awareness and Location-Awareness
- Software Architecture and Middleware
- Networking and Communication Protocols
- Performance Evaluation and Modeling
- Energy Efficiency
- Machine to Machine Communications
- Machine Learning and Deep Learning Approaches Data Analytics
- Software Engineering for IoT and IoE
- Security, privacy and trust
- Testing (Software Engineering; Penetration; Product Development)
- Algorithms, Software Engineering and Development
- Firewall, Access Control, Identity Management
- Encryption (All Aspects)
- Intrusion and Detection Techniques
- Experiments on Using Security Solutions and Proof-of-Concepts
- Software Engineering for Security Modeling, Business Process Modeling and Analytics
- Social Engineering and Ethical Hacking: Techniques and Case Studies
- Data Security, Data Recovery, Disaster Recovery
- Location-Based Privacy
- Emerging Issues and Recommendations for Organizational Security
- Adoption Challenges and Recommendation
- Security, Privacy and Trust
- Case Studies
- Big data for multi-discipline services
- Education and Learning
- Smart City and Transportation
- Social Networks Analysis, Media and eGovernment
- Business, Finance and Management
- Case Studies of Real Adoption
- Risk Modeling, Simulation, Legal Challenges
- Healthcare Services and Health Informatics
- Biomedical Experiments and Simulations
- IoT technologies
- Artificial Intelligence
- 3D Printing
- Communication
- Biotechnology
- Electronic Technologies for in-Vehicle
- Data Processing
- Mode-to-Mode Systems
- Internet of Things
- Sensors
- Nanotechnology
- Vehicle-to-Infrastructure
- Transport Safety and Mobility
- Vehicle-to-Vehicle
