Difference between revisions of "SAM IoT 2020"

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*AI, deep learning for predictive security
 
*AI, deep learning for predictive security
 
*Challenges, Use Cases, and Solutions for Industry and Society
 
*Challenges, Use Cases, and Solutions for Industry and Society
 +
 +
Modelling for IoT:
 +
*Modelling Languages and Tools
 +
*Verification & Validation approaches
 +
*Modelling for IoT Devices, Services, and Robotics
 +
*Security & Privacy modelling
 +
*Statistical models checking
 +
*Modelling adaptive IoT systems
 +
*Runtime models
 +
*Challenges, Use Cases, and Solutions  for Industry and Society
  
  

Revision as of 10:00, 28 January 2021

SAM IoT 2020
1st Eclipse Research International Conference on Security, Artificial Intelligence and Modeling for the next generation Internet of Things
Ordinal 1
Event in series SAM IoT
Dates 2020/09/17 (iCal) - 2020/09/18
Homepage: https://events.eclipse.org/2020/sam-iot/
Location
Location: Online, Online
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Important dates
Papers: 2020/08/05
Submissions: 2020/07/22
Notification: 2020/08/10
Camera ready due: 2020/09/10
Committees
General chairs: Enrico Ferrera, Philippe Krief
PC chairs: Rosaria Rossini, Paul-Emmanuel Brun
Keynote speaker: Henrik Plate
Table of Contents


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The 1st Eclipse Research International Conference on Security, Artificial Intelligence and Modeling for the next generation Internet of Things (SAM IoT) 2020

Topics

Security and Privacy for IoT:

  • IoT security protocols and architectures
  • Anonymization techniques
  • Trust and identity management
  • Privacy data protection
  • Secure discovery and authentication
  • Access control for shared data and IoT devices 
  • Identification, assessment, and mitigation of cyber-physical threats sam-iot-cfp.pdf
  • Challenges, Use Cases, and Solutions for Industry and Societ

Artificial Intelligence for IoT:

  • Intelligent distributed architectures and infrastructures
  • Autonomic Computing
  • Distributed intelligence and multi- agent systems
  • Context-Awareness and Location- Awareness 
  • Machine Learning and Deep Learning Approaches  
  • Adaptive Anomaly Detection and Predictive Maintenance
  • AI, deep learning for predictive security
  • Challenges, Use Cases, and Solutions for Industry and Society

Modelling for IoT:

  • Modelling Languages and Tools
  • Verification & Validation approaches
  • Modelling for IoT Devices, Services, and Robotics
  • Security & Privacy modelling
  • Statistical models checking
  • Modelling adaptive IoT systems
  • Runtime models
  • Challenges, Use Cases, and Solutions  for Industry and Society





Submissions

Important Dates

Committees

  • Co-Organizers
  • General Co-Chairs
  • Local Organizing Co-Chairs
  • Program Committee Members

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