$506.25 – $968.75

IoTBDS 2019 - 4th International Conference on Internet of Things, Big Data...

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Heraklion

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Greece

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IoTBDS 2019 - 4th International Conference on Internet of Things, Big Data and Security

IoTBDS 2019 will be held in conjunction with COMPLEXIS 2019 and CLOSER 2019.
Registration to IoTBDS allows free access to the COMPLEXIS and CLOSER conferences (as a non-speaker).

Upcoming Deadlines

Regular Paper Submission: December 10, 2018

Regular Paper Authors Notification: February 7, 2019

Regular Paper Camera Ready and Registration : February 21, 2019


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.

Research Examples

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Conference 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

Conference Chair

Victor Chang, Xi'an Jiaotong-Liverpool University, China

PROGRAM CO-CHAIRS

Muthu Ramachandran, Leeds Beckett University, United Kingdom
Gary Wills, University of Southampton, United Kingdom
Víctor Méndez Muñoz, Mind the Byte & Universitat Autònoma de Barcelona, UAB, Spain

SCIENTIFIC ADVISORY BOARD

Schahram Dustdar, Vienna University of Technology, Austria
Hamido Fujita, Iwate Prefectural University, Japan
Chung-Sheng Li, Accenture, United States

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 - Services Computing, Techniques, Recommendations and Frameworks
  • Modeling, Experiments, Sharing Technologies & Platforms
  • SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
  • Analytics, Intelligence and Knowledge Engineering
  • Data Center Enabled Technologies
  • Sensor, Wireless Technologies, APIs
  • Networking and Social Networks
  • Data Management for Large Data
  • Security, Privacy and Risk
  • Software Frameworks (MapReduce, Spark etc) and Simulations
  • Modern Architecture
  • Volume, Velocity, Variety, Veracity and Value
  • 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 e-Learning and Educational Applications
  • Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT and Big Data
  • Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for IoT and Big Data
  • Natural Science as a Service (NSaaS) including Weather Forecasting and Weather Data Visualization
  • System Design and Architecture
  • Mobile APIs, Apps, Systems and Prototype
  • Gaming as a Service (GaaS)
  • Framework (conceptual, logical or software)
  • Analytics as a Service (AaaS) for any Types of Analytics
  • Electronic, Logic, Robotic and Electrical Infrastructure, Platforms and Applications
  • Energy-saving and Green IT Systems or Applications
  • Middleware and Agents for IoT and Big Data, Grid and Cluster Computing
  • Integration as a Service (data; service; business; federated IoT and Big Data)
  • Scheduling, Service Duplication, Fairness, Load Balance for SaaS and Analytics
  • Tenant Application Development including Customization, Verification, Simulation, and testing on SaaS and Analytics
  • IaaS, PaaS and SaaS quality of service (QoS), security, reliability, availability, service bus mechanisms
  • Social Networks and Analytics
  • User Evaluations and Case Studies
  • IaaS, PaaS and SaaS, Big Data and Analytics demonstrations and Research Discussions from Computing Scientists, Business IS Academics and Industrial Consultants
  • Wireless Systems and Applications
  • e-Government, e-Commerce, e-Science and Creative Technologies for IoT and Big Data
  • Data as a Service and Decision as a Service
  • IoT Services and Applications
  • New Service Models
  • Software Engineering for Big Data Analytics
  • SOA based approaches to IoT BD
  • Social informatics, challenges and recommendations for IoT
  • Any emerging services

AREA 3: INTERNET OF THINGS (IOT) FUNDAMENTALS

  • Network Design and Architecture
  • Software Architecture and Middleware
  • Mobile Services
  • Data and Knowledge Management
  • Context-awareness and Location-awareness
  • Security, Privacy and Trust
  • Performance Evaluation and Modeling
  • Networking and Communication Protocols
  • Machine to Machine Communications
  • Intelligent Systems for IoT and Services Computing
  • Energy Efficiency
  • Social Implications for IoT
  • Future of IoT and Big Data

AREA 4: INTERNET OF THINGS (IOT) APPLICATIONS

  • Technological focus for Smart Environments
  • Next Generation Networks
  • Smart City Examples and Case Studies
  • Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
  • Architecture for secure and interactive IoT
  • Intelligent Infrastructure and Guidance Systems
  • Traffic Theory, Modeling and Simulation
  • Sensor Networks, Remote Diagnosis and Development
  • Transportation Management
  • Pattern Recognition and Behavioral Investigations 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
  • Large-scale Information Systems and Applications
  • Energy, Environment and Natural Science Applications
  • Social Networks Analysis, Media and e-Government
  • Proofs-of-concepts and Large-scale Experiments
  • Risk Modeling, Simulation, Legal Challenges
  • Open data: Issues, Services and Solutions
  • Earth Science Simulation and Processing
  • GPUs and Visualization
  • Case Studies of Real Adoption
  • Biomedical Experiments and Simulations
  • Healthcare Services and Health Informatics
  • Cancer and Tumor Studies with Big Data
  • DNA Sequencing, Organ Simulations and Processing
  • Volume, Velocity, Variety and Veracity
  • HCI and Gaming

AREA 6: SECURITY, PRIVACY AND TRUST

  • Algorithms, software engineering and development
  • System design and implementation
  • Testing (software engineering; penetration; product development)
  • Encryption (all aspects)
  • Firewall, access control, identity management
  • Experiments of using security solutions and proof-of-concepts
  • Large-scale simulations in the Cloud, Big Data and Internet of Things
  • Intrusion and detection techniques
  • Social engineering and ethical hacking: techniques and case studies
  • Software engineering for security modeling, business process modeling and analytics
  • Trust and privacy
  • Location-based privacy
  • Data security, data recovery, disaster recovery
  • Adoption challenges and recommendation
  • Information systems related issues
  • Conceptual frameworks and models
  • Emerging issues and recommendations for organizational security
  • E-Commerce and online banking
  • Social network analysis, emerging issues in social networks
  • Education and e-Learning
  • Surveys and their quantitative analysis
  • Architecture (technical or organizational)
  • Case Studies

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


Please contact the event manager Marilyn (marilyn.b.turner@nyeventslist.com ) below for:
- Multiple participant discounts
- Price quotations or visa invitation letters
- Payment by alternate channels (PayPal, check, Western Union, wire transfers etc)
- Event sponsorships

NO REFUNDS ALLOWED ON REGISTRATIONS
Service fees included in this listing.
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