Call for Papers

SCOPE

The internet of things (IoT) is a platform that allows a network of devices (sensors, smart meters, etc.) to communicate, analyze data and process information collaboratively in the service of individuals or organizations. The IoT network can generate large amounts of data in a variety of formats and using different protocols which can be stored and processed in the cloud. The conference looks to address the issues surrounding IoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IoT produces using machine learning and other advanced techniques, models and tools, and issues of security, privacy and trust that will emerge as IoT technologies mature and become part of our everyday lives.

Big Data (BD) has core values of volume, velocity, variety and veracity. After collecting much data from IoT, BD can be jointly used with machine learning, AI, statistical and other advanced techniques, models and methods, which can create values for people and organizations adopting it, since forecasting, deep analysis and analytics can help identify weaknesses and make improvements based on different analysis.

Maintaining a high level of security and privacy for data in IoT are crucial and we welcome recommendations, solutions, demonstrations and best practices for all forms of security and privacy for IoT and BD.

CONFERENCE AREAS

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:

AREA 1: 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 2: 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 3: 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

AREA 4: 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 5: BIG DATA FOR MULTI-DISCIPLINE SERVICES

• Smart City and Transportation
• Techniques and methods for post-COVID-19 learning, training and teleworking
• Case Studies of Real Adoption and Inter-disciplinary Research
• Social Networks Analysis, Faked News, Blockchain and eGovernment
• Healthcare Services, Health Informatics and Biological Research of the Pandemic

AREA 6: 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 7: 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

KEYNOTE SPEAKERS

IoTBDS 2024 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed.

PAPER SUBMISSION

PUBLICATIONS

IMPORTANT DATES

SECRETARIAT

IoTBDS Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
             2900-616 Setúbal - Portugal
Tel.: +351 265 520 185
Fax: +351 265 520 186
e-mail: iotbds.secretariat@insticc.org
Web: https://iotbds.scitevents.org

VENUE

CONFERENCE CHAIR

PROGRAM CO-CHAIRS

PROGRAM COMMITTEE MEMBERS