[hpc-announce] IoTBDS 2022, 22-24 April 2022 (submisson due on 20 Jan 2022)

[Victor Chang]

Dear colleagues,

I hope you and your family are doing well. We have the 7th International Conference on Internet of Things, Big Data and Security 2022 (IoTBDS 2022), an online streaming conference, between 22-24 April, 2022. Submission deadline has been extended to 20 Jan, 2020 due to impacts of COVID-19. We work with high quality journals, well-known keynote speakers and researchers/scientists/practitioners/decision-makers from all over the world. Please check our websites http://iotbds.org/ and COMPLXIS 2022 http://www.complexis.org with the same submission deadlines and also FEMIB 2022 http://femib.scitevents.org/ and social network website https://www.facebook.com/ES2014ECs2015/.

Our conference has an index from Scopus, EI etc. We'll seek support from more competitive journals. We look forward to meeting you and seeing your presentations. Many thanks in advance. I wish you a Merry Christmas and a
Happy New Year!

Thanks and regards,

Victor

https://iotbds.scitevents.org/

UPCOMING SUBMISSION DEADLINES
Position/Regular Paper Submission: January 20, 2022
Doctoral Consortium Paper Submission: March 2, 2022
Abstracts Track Submission: March 2, 2022

Workshops
Workshop Proposal: December 20, 2021 (expired)

Doctoral Consortium
Paper Submission: March 2, 2022
Authors Notification: March 15, 2022
Camera Ready and Registration: March 23, 2022

Special Sessions
Special Session Proposal: December 20, 2021 (expired)

Tutorials
Tutorial Proposal: March 15, 2022

Demos
Demo Proposal: March 15, 2022

Panels
Panel Proposal: March 15, 2022

Abstracts
Abstract Submission: March 2, 2022
Authors Notification: March 15, 2022
Camera Ready and Registration: March 23, 2022


SCOPE

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 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. BIG DATA RESEARCH
2. EMERGING SERVICES AND ANALYTICS
3. INTERNET OF THINGS (IOT) FUNDAMENTALS
4. INTERNET OF THINGS (IOT) APPLICATIONS
5. BIG DATA FOR MULTI-DISCIPLINE SERVICES
6. SECURITY, PRIVACY AND TRUST
7. IOT TECHNOLOGIES

AREA 1: BIG DATA RESEARCH

Big Data Fundamentals: Volume, Velocity, Variety, Veracity and Value
Modeling, Experiments, Sharing Technologies & Platforms
Analytics, Intelligence and Knowledge Engineering
Data Center Enabled Technologies
Networking and Social Networks
Data Management for Large Data
Software Frameworks (MapReduce, Spark Etc) and Simulations
Social Science and Implications for Big Data

AREA 2: 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 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
Education as a Service (EaaS) Including eLearning, Tele-educational and Tele-research Applications
Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT and Big Data
Analytics as a Service (AaaS) for Any Types of Analytics
Scheduling, Service Science, Performance Evaluation and Load Balance for SaaS and Analytics
eGovernment, eCommerce, eScience and Creative Technologies for IoT and Big Data
IoT Services and Applications
New Service Models and Emerging Services

AREA 3: 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 4: 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 5: BIG DATA FOR MULTI-DISCIPLINE SERVICES

Smart City and Transportation
Education and Learning
Business, Finance and Management
Case Studies of Real Adoption
Biomedical Experiments and Simulations
Social Networks Analysis, Media and eGovernment
Risk Modeling and Analysis, Simulations of Economic Impacts of the Pandemic
Healthcare Services, Health Informatics and Biological Research of the Pandemic

AREA 6: SECURITY, PRIVACY AND TRUST

Algorithms, Software Engineering and Development
Encryption (All Aspects)
Firewall, Access Control, Identity Management
Intrusion and Detection Techniques
Case Studies
Location-Based 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
Social Engineering, Hacking Preventions and Ethical Hacking: Techniques, Recommendations and Case Studies
Software Engineering for Security Modeling, Business Process Modeling and Analytics

AREA 7: IOT TECHNOLOGIES

Artificial Intelligence
Communication
Data Processing
Internet of Things
Sensors
Zigbee
Vehicle-to-Infrastructure
Vehicle-to-Vehicle
Transport Safety and Mobility
IoT in Autonomous and e-vehicles
3D Printing and Nanotechnology and/or Biotechnology


CONFERENCE CO-CHAIRS
Péter Kacsuk (honorary), , United Kingdom
Victor Chang, Teesside University, United Kingdom

PROGRAM CO-CHAIRS
Denis Bastieri (honorary), University of Padova, Italy
Gary Wills, University of Southampton, United Kingdom

KEYNOTE SPEAKERS
Jie Lu, University of Technology Sydney, Australia
Zoran Obradovic, Temple University, United States
Rajkumar Buyya, University of Melbourne and Manjrasoft Private Limited, Australia
Antonio Iera, University of Calabria, Italy

For more details please visit https://iotbds.scitevents.org/
IoTBDS 2022 - Conference<https://iotbds.scitevents.org/>
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.
iotbds.scitevents.org
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