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IoTBDS 2021 : 6th International Conference on Internet of Things, Big Data and Security

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Link: http://www.iotbds.org
 
When Apr 23, 2021 - Apr 25, 2021
Where Online Streaming
Submission Deadline Jan 19, 2021
Notification Due Feb 5, 2021
Final Version Due Feb 22, 2021
Categories    security   big data   internet of things   IOT
 

Call For Papers

CALL FOR PAPERS
6th International Conference on Internet of Things, Big Data and Security IoTBDS

website: http://www.iotbds.org

April 23 - 25, 2021 Online Streaming


In Cooperation with: DNS.PT
Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.


IMPORTANT DATES:

Regular Paper Submission: November 30, 2020
Authors Notification (regular papers): February 5, 2021
Final Regular Paper Submission and Registration: February 22, 2021


Position Paper Submission: January 19, 2021
Authors Notification (position papers): February 24, 2021
Final Regular Paper Submission and Registration: March 9, 2021

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 Topics:
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
- Context-Awareness 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 for IoT Intelligent
- 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
- Biotechnology
- Communication
- Data Processing
- Internet of Things
- Sensors
- Zigbee
- Vehicle-to-Infrastructure
- Vehicle-to-Vehicle
- Transport Safety and Mobility
- Electronic Technologies for in-Vehicle
- 3D Printing and Nanotechnology


IoTBDS KEYNOTE LECTURE
Yaochu Jin, University of Surrey, United Kingdom
Ling Liu, Georgia Institute of Technology, United States


IoTBDS CONFERENCE CHAIR:
Victor Chang, Teesside University, United Kingdom

IoTBDS PROGRAM CO-CHAIRS:
Gary Wills, University of Southampton, United Kingdom
Péter Kacsuk, MTA SZTAKI, Hungary

PROGRAM COMMITTEE
http://www.iotbds.org/ProgramCommittee.aspx

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

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