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Call for Papers

IoTBDS is sponsored by INSTICC – Institute for Systems and Technologies of Information, Control and Communication

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 eLearning 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
  • eGovernment, eCommerce, eScience 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 eGovernment
  • 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
  • eCommerce and Online Banking
  • Social Network Analysis, Emerging Issues in Social Networks
  • Education and eLearning
  • 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

KEYNOTE SPEAKERS

IoTBDS 2020 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed.

PAPER SUBMISSION

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.

Only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.

Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.

PUBLICATIONS

All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper on our digital library is given a DOI (Digital Object Identifier).
The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar.

IMPORTANT DATES

Conference Date: 7 - 9 May, 2020

Paper Submission: December 13, 2019
Authors Notification:
February 12, 2020
Camera Ready and Registration:
February 27, 2020

Paper Submission: January 29, 2020
Authors Notification:
March 5, 2020
Camera Ready and Registration:
March 18, 2020

Workshops
Workshop Proposal: December 22, 2019

Doctoral Consortium
Paper Submission: March 11, 2020
Authors Notification: March 24, 2020
Camera Ready and Registration: April 1, 2020

Special Sessions
Special Session Proposal: December 22, 2019

Tutorials
Tutorial Proposal: March 24, 2020

Demos
Demo Proposal: March 24, 2020

Panels
Panel Proposal: March 24, 2020

Open Communications
Paper Submission: March 11, 2020
Authors Notification: March 24, 2020
Camera Ready and Registration: April 1, 2020

SECRETARIAT

IoTBDS Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
             2900-616 Setubal - Portugal
Tel.: +351 265 520 184
Fax: +351 265 520 186
e-mail: iotbds.secretariat@insticc.org
Web: http://iotbds.org/

VENUE

Available soon.

CONFERENCE CHAIR

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PROGRAM CHAIR

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PROGRAM COMMITTEE MEMBERS

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