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Project

Drive with Confidence

Unit(s) of assessment: Computer Science and Informatics

Research theme(s): Safety and Sustainability

School: School of Science and Technology

Overview

  • Today's vehicles are no longer stand-alone transportation mediums, considering sensor enabled Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) Communications.
  • Currently, 85% of the new cars registered in the UK are connected vehicles and it is projected to be 100% by 2026.
  • A standard connected car has about 100 million lines of programming code in a wide range of Electronic Control Units (ECU).
  • UK government's policy "The Key Principles of Cyber Security for Connected and Automated Vehicles" will be coming into force in the next 5 years.

The aim of the "Drive with Confidence" project is to develop a safe and secure driving system to mitigate ONLINE vehicle hijacking risks. Key innovations of the secure driving system include:

  1. Vehicular Network Segmentation: Segmentation of the in-vehicle network using virtual network isolation technique will help limit the impact of a cyber security breach.
  2. Physical Layer Security: Light weight physical layer security will be used for short-range vehicular communications.
  3. In-vehicle Intrusion Detection System: Artificial intelligence (AI) based IDS will monitor the connected vehicle's network in real-time for suspicious network activities.
 
Auto-Pod: Self-Driving and Connected Vehicle Research

The Auto-Pod research and development team of the Department of Computer Science, Nottingham Trent University, led by Dr Omprakash Kaiwartya, focusing on improving trustworthiness, cyber resilience, and vehicle-to-everything (V2X) communications in the auto-pod. The vehicle uses a number of cutting-edge on-board sensors and cameras that immediately responds to road conditions, nearby other vehicles and pedestrians in its immediate vicinity.

Collaboration

The NTU team is led by Dr Omprakash Kaiwartya who has expertise in networking around Connected Vehicles. He is an internationally well-known connected vehicle researcher who has published over 150 research articles in the area with 6000+ citations. He closely works with industries to solve emerging network and cyber security challenges in Connected Vehicles. This project involves collaboration from industry partners including Aurrigo (UK’s leading connected and autonomous vehicle manufacturer), Methodica Technologies (vehicular embedded technology consulting firm). The research is supported by a grant from the Innovate UK, and NTU’s Impact Accelerator fund.

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