Workshop on Secure Trust Environment Model for Intelligent Vehicles in conjunction with the IEEE World Forum Internet of Things, 
04-08 February 2018 – Singapore
Internet of Things

Important Dates

  • Workshop paper submission Due Date: October 6, 2017
  • Paper acceptance notification: November 15, 2017
  • Camera-ready submission: December 15, 2017

Call for Papers

Secure Trust environment Model for Intelligent Vehicles

The workshop aims to foster discussion on automotive cybersecurity related problem and solutions, security standardization for intelligent vehicles and discuss security for Infrastructure of Intelligent transportation system. We need to know the security requirements needed during design and development of intelligent vehicles. Therefor it is aims to investigate security, standardization, security method and process for vehicle communication. This workshop invites contribution in automotive cyber security ranging from vehicle communication for vehicle-to-vehicle (V2V) communication and Vehicle to Infrastructure (V2X) information, network theoretic analysis to security design and experimentation. To work with intelligent vehicles and intelligent transportation environment and concentrate on research work on Cryptography Embedded security, hardware security for intelligent vehicles. The scope of this workshop covers (but is not limited to) the following topics:

  • Intelligent Communication (IC): Perspective, Challenges and Future
  • • Security threats for ITS and IV
  • • New approaches to ITS security, user privacy and trust
  • • Security architecture, design, implementation and management of Intelligent vehicles
  • • Trust Environment Structure for Intelligent Vehicle Communication (V2V, V2I, V2C)
  • • Functional security, standards, and certification
  • • Security Techniques and protocols for cooperative vehicles
  • • Data communication security in networked embedded systems
  • • Security mechanism for automotive motion planning in dynamic environments
  • • Practical security experiences and testbeds related with intelligent vehicles