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IoTBDS 2027: International Conference on Internet of Things, Big Data and Security

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Día de Entrega:
2026-11-17 Faltan 56 días
Fecha de Notificación:
2027-01-15
Fecha de conferencia:
2027-04-18
Ubicación:
Rome, Italy
Ediciones:
12
ICORE: C   Vistas: 921   Seguidores: 0   Asistentes: 0

Índice Conference Partner (CP-I)

53,3 / 100
Puesto n.º 1.011 de 5.683 congresos · 18% superior

N.º 51 de 337 en Minería de datos y bases de datos N.º 77 de 360 en Seguridad y privacidad N.º 141 de 864 en Redes y comunicaciones

Reconocimiento académico (35%)
58
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
69
Atención de la comunidad (10%)
17
Integridad del registro público (15%)
50

Datos utilizados: Categorías: ICORE C · Ediciones documentadas: 12 · Investigadores que abrieron esta página en los últimos 24 meses: 9

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0)
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Confianza 80 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-22

Solicitud de Artículos

IoTBDS 2027 (International Conference on Internet of Things, Big Data and Security) is a ICORE C 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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Los Mejores Artículos

AñoLos Mejores Artículos
2026CAMEL: Mitigating Bluetooth Low Energy Packet Injection Attacks
2025The Integration of Time Series Anomaly Detection into a Smart Home Environment
2024UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes
2023Castles Built on Sand: Observations from Classifying Academic Cybersecurity Datasets with Minimalist Methods
2022SIMBIoTA-ML: Light-weight, Machine Learning-based Malware Detection for Embedded IoT Devices
2022A Two-level Integrated Approach for Assigning Trust Metrics to Internet of Things Devices
2022A Real-time Explainable Anomaly Detection System for Connected Vehicles
2021A Real-time and Energy-aware Framework for Data Stream Processing in the Internet of Things
2021Deep Learning for COVID-19 Prediction based on Blood Test
2020ZigBee IoT Intrusion Detection System: A Hybrid Approach with Rule-based and Machine Learning Anomaly Detection
2020IoT-CryptoDiet: Implementing a Lightweight Cryptographic Library based on ECDH and ECDSA for the Development of Secure and Privacy-preserving Protocols in Contiki-NG
2019Industrial Big Data: From Data to Information to Actions
2019Semi Fragile Watermarking Technique using IWT and a Two Level Tamper Detection Scheme
2018Intrusion Detection and Prevention with Internet-integrated CoAP Sensing Applications
2018Of Guardians, Cynics, and Pragmatists - A Typology of Privacy Concerns and Behavior
2017A Dataset and a Comparison of Out-of-Order Event Compensation Algorithms
2017Perceptions of Digital Footprints and the Value of Privacy
2016Subgraph Isomorphism Search in Massive Graph Databases
2016A Utility Paradigm and Roadmap of Internet-of-Things in Thailand for Digital Economy Development towards ASEAN Economic Community

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