IoTBDS 2027 (International Conference on Internet of Things, Big Data and Security) is an academic conference held in Rome, Italy on 2027-04-18. The paper submission deadline is 2026-11-17. Acceptance notifications are sent on 2027-01-15.
SCOPE
The Internet of Things (IoT) is transforming how devices and systems interact, enabling smart applications across healthcare, manufacturing, energy, transportation, and smart cities. This rapid growth generates vast, diverse, and real-time data — Big Data — which demands advanced techniques for analysis, storage, security, and intelligent decision-making.
The convergence of IoT, Big Data, Artificial Intelligence (AI), and Machine Learning creates new opportunities for actionable insights, autonomous systems, and enhanced user experiences. In particular, emerging technologies such as Generative AI offer unprecedented capabilities for smart, connected environments.
However, security, privacy, trust, and ethical AI remain critical challenges. The conference invites research contributions, practical solutions, and case studies addressing these concerns and advancing the state of the art in IoT and Big Data ecosystems.
IoTDBS brings together researchers, practitioners, and industry experts to explore innovations, trends, and challenges shaping the future of smart systems and data-driven applications. Maintaining a high level of security and privacy in IoT environments is crucial, and we welcome recommendations, solutions, demonstrations, and best practices addressing all aspects of security and privacy in IoT and Big Data.
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:
1. AI AND IOT SECURITY
2. BIG DATA RESEARCH
3. EMERGING SERVICES AND ANALYTICS
4. INTERNET OF THINGS (IOT) APPLICATIONS
5. INTERNET OF THINGS (IOT) FUNDAMENTALS
6. IOT TECHNOLOGIES
7. SECURITY, PRIVACY AND TRUST
AREA 1: AI AND IOT SECURITY
AI and IoT Security
AI-Powered IoT Threat Detection
Edge AI for IoT Security
Blockchain and AI for IoT
AI, Privacy, and Ethics in IoT
AI-driven Security for IoT
AREA 2: BIG DATA RESEARCH
Analytics, Intelligence and Knowledge Engineering
Data Management for Large Data
Modeling, Experiments, Sharing Technologies & Platforms
Networking and Social Networks
AREA 3: EMERGING SERVICES AND ANALYTICS
Big Data as a Service (BDaaS) including Software Frameworks, Empirical Approaches and Data Processing Techniques
IoT Services and Applications
Security as a Service including Any Algorithms, Methodology and Software Proof-of-Concepts
AREA 4: INTERNET OF THINGS (IOT) APPLICATIONS
Architecture for Secure and Interactive IoT
Intelligent Infrastructure and Guidance Systems for Vehicles, Green Systems and Smart City
Sensor Networks, Remote Diagnosis and Development
Smart City Examples and Case Studies
Systems for IoT and Services Computing
Technological Focus for Smart Environments
AREA 5: INTERNET OF THINGS (IOT) FUNDAMENTALS
Energy Efficiency
Machine Learning and Deep Learning Approaches Data Analytics
Networking and Communication Protocols
Performance Evaluation and Modeling
Recommender Systems, Smart Devices and Location-Awareness
Software Architecture and Middleware
Software Engineering for IoT and IoE
AREA 6: IOT TECHNOLOGIES
Artificial Intelligence
Communication
Communication Protocols
Data Processing
Internet of Things
Sensors
Vehicle-to-Infrastructure
AREA 7: SECURITY, PRIVACY AND TRUST
Analysis and Vulnerabilty Prevention
Case Studies
Data Security, Data Recovery, Disaster Recovery
Emerging Issues and Recommendations for Organizational Security
Experiments on Using Security Solutions and Proof-of-Concepts
Intrusion and Detection Techniques
Security, Privacy and Trust
Software Engineering for Security Modeling, Business Process Modeling and Analytics
Testing (Software Engineering; Penetration; Product Development)
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