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IoTBDS 2022 will be held in conjunction with ICT4AWE 2022, COMPLEXIS 2022 and FEMIB 2022.
Registration to IoTBDS allows free access to the ICT4AWE, COMPLEXIS and FEMIB conferences (as a non-speaker).


Upcoming Submission Deadlines

Regular Paper Submission Extension: December 21, 2021
Position Paper Submission: January 20, 2022
Doctoral Consortium Paper Submission: March 2, 2022

(See Important Dates for more information)

The internet of things (IoT) is a platform that allows a network of devices (sensors, smart meters, etc.) to communicate, analyse data and process information collaboratively in the service of individuals or organisations. 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 Co-chairs

Péter Kacsuk (honorary), United Kingdom
Victor ChangTeesside University, United Kingdom


Denis Bastieri (honorary)University of Padova, Italy
Gary WillsUniversity of Southampton, United Kingdom

Publicity Chairs

Bernhard Heiden, Carinthia University of Applied Sciences, Austria
Flavia Delicato, Universidade Federal Fluminense, Brazil


Bruno RossiMasaryk University, Czech Republic

Keynote Speakers

Jie LuUniversity of Technology Sydney, Australia
Zoran ObradovicTemple University, United States
Rajkumar BuyyaUniversity of Melbourne and Manjrasoft Private Limited, Australia
 SCITEPRESS Digital Library

All papers presented at the conference venue
will be available at the SCITEPRESS Digital Library
(consult SCITEPRESS Ethics of Publication)

Big Data Journal

A short list of papers will be invited
for a post-conference special issue of the
Big Data Journal

Proceedings will be submitted for indexation by:
Google Scholar
Microsoft Academic
Engineering Index
Web of Science / Conference Proceedings Citation Index
Web of Science/Conference Proceedings Citation Index