[hpc-announce] The Fifth International Conference on Internet of Things, Big Data and Security 2020 (IoTBDS 2020; 7-9 2020; Prague, Czech Republic)

Chang V.I. vic1e09 at soton.ac.uk
Sat Nov 30 13:46:08 CST 2019

Dear colleagues,

We have the Fifth International Conference on Internet of Things, Big Data and Security 2020 (IoTBDS 2020), to be held in Prague, Czech Republic, between 7-9 May,2020.  Submission deadline is 13th Dec, 2020. 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://www.complexis.org/, http://femib.scitevents.org/ with the same submission deadlines and also https://www.facebook.com/ES2014ECs2015/.

We have the support from Expert Systems (Wiley), Applied Sciences (MDPI) and a few more top journals. Our conference has a technical sponsorship from IEEE SMC Society and has index from Scoupus, EI etc. We look forward to meeting you. Many thanks in advance.

Thanks and regards,


5th International Conference on Internet of Things, Big Data and Security IoTBDS

website: http://www.iotbds.org

May 7 - 9, 2020 Prague, Czech Republic

In Cooperation with: DNS.PT and EuroCloud.

Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS, Semantic Scholar and Google Scholar.


Regular Paper Submission: December 13, 2019
Authors Notification (regular papers): February 12, 2020
Final Regular Paper Submission and Registration: February 27, 2020

Position Paper Submission: January 29, 2020
Authors Notification (position papers): March 5, 2020
Final Regular Paper Submission and Registration: March 18, 2020

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 Software as a Service (FSaaS) including Risk and Pricing Analysis; Predictive Modeling
- Education as a Service (EaaS) including eLearning and Educational 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 Duplication, Fairness, 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
- Intelligent Infrastructure and Guidance Systems for Vehicles, Green Systems and Smart City
- Sensor Networks, Remote Diagnosis and Development
- Transportation Management Traffic Theory, Modeling and Simulation
- Social Implications for IoT Intelligent
- Systems for IoT and Services Computing

Area 5: Big Data for Multi-discipline Services
- Smart City and Transportation
- Education and Learning
- Business, Finance and Management
- Social Networks Analysis, Media and eGovernment
- Risk Modeling, Simulation, Legal Challenges
- Case Studies of Real Adoption
- Biomedical Experiments and Simulations
- Healthcare Services and Health Informatics

Area 6: Security, Privacy and Trust
- Algorithms, Software Engineering and Development
- Testing (Software Engineering; Penetration; Product Development)
- Encryption (All Aspects)
- Firewall, Access Control, Identity Management
- Experiments on Using Security Solutions and Proof-of-Concepts
- Intrusion and Detection Techniques
- Social Engineering and Ethical Hacking: Techniques and Case Studies
- Software Engineering for Security Modeling, Business Process Modeling and Analytics
- Location-Based Privacy
- Data Security, Data Recovery, Disaster Recovery
- Adoption Challenges and Recommendation
- Emerging Issues and Recommendations for Organizational Security
- Case Studies
- Security, Privacy and Trust

Area 7: IoT Technologies
- 3D Printing
- Artificial Intelligence
- Biotechnology
- Communication
- Data Processing
- Electronic Technologies for in-Vehicle
- Internet of Things
- Mode-to-Mode Systems
- Nanotechnology
- Sensors
- Transport Safety and Mobility
- Vehicle-to-Infrastructure
- Vehicle-to-Vehicle

Schahram Dustdar, Vienna University of Technology, Austria

Victor Chang, Teesside University, United Kingdom

Gary Wills, University of Southampton, United Kingdom
Péter Kacsuk (honorary), MTA SZTAKI, Hungary

Mouzhi Ge, Masaryk University, Czech Republic

Anna Kobusinska, Poznan University of Technology, Poland
Mohamed Abdel-Basset, Zagazig University, Egypt


Artificial Intelligence for Emerging IoT Systems: Open Challenges and Novel Perspectives - AI4EIoTs

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