Security enhancement to autonomous vehicles networks

Autonomous Vehicle Network technology is moving fast thanks to the rapid development of research in VANET technology. While the performance of recent communication technology can satisfy the huge requirements of VANET technology, the modern security frameworks are still not be able to protect VANETs...

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Bibliographic Details
Main Author: Truong, Thanh Thai
Other Authors: Ma Maode
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149858
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author Truong, Thanh Thai
author2 Ma Maode
author_facet Ma Maode
Truong, Thanh Thai
author_sort Truong, Thanh Thai
collection NTU
description Autonomous Vehicle Network technology is moving fast thanks to the rapid development of research in VANET technology. While the performance of recent communication technology can satisfy the huge requirements of VANET technology, the modern security frameworks are still not be able to protect VANETs from previous attacks from threat actors who might target this new industry. Over the last 20 years, multiple research have been conducted to develop the most secure and lightweight security frameworks for VANET. One of the most promising field is Intrusion Detection System in VANET, which utilizing the state-of-the-art detection algorithm including machine learning. On the other hand, there is none commercialized IDS framework for VANET, thus this raised the question if there are still room for improvement in IDS framework for VANET. This final year project will review the state-of-the-art intrusion detection system in VANET, investigate the possibility of improvement and propose solutions to this question.
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spelling ntu-10356/1498582023-07-07T17:53:32Z Security enhancement to autonomous vehicles networks Truong, Thanh Thai Ma Maode School of Electrical and Electronic Engineering EMDMa@ntu.edu.sg Engineering::Electrical and electronic engineering::Wireless communication systems Autonomous Vehicle Network technology is moving fast thanks to the rapid development of research in VANET technology. While the performance of recent communication technology can satisfy the huge requirements of VANET technology, the modern security frameworks are still not be able to protect VANETs from previous attacks from threat actors who might target this new industry. Over the last 20 years, multiple research have been conducted to develop the most secure and lightweight security frameworks for VANET. One of the most promising field is Intrusion Detection System in VANET, which utilizing the state-of-the-art detection algorithm including machine learning. On the other hand, there is none commercialized IDS framework for VANET, thus this raised the question if there are still room for improvement in IDS framework for VANET. This final year project will review the state-of-the-art intrusion detection system in VANET, investigate the possibility of improvement and propose solutions to this question. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-09T06:33:07Z 2021-06-09T06:33:07Z 2021 Final Year Project (FYP) Truong, T. T. (2021). Security enhancement to autonomous vehicles networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149858 https://hdl.handle.net/10356/149858 en application/pdf Nanyang Technological University
spellingShingle Engineering::Electrical and electronic engineering::Wireless communication systems
Truong, Thanh Thai
Security enhancement to autonomous vehicles networks
title Security enhancement to autonomous vehicles networks
title_full Security enhancement to autonomous vehicles networks
title_fullStr Security enhancement to autonomous vehicles networks
title_full_unstemmed Security enhancement to autonomous vehicles networks
title_short Security enhancement to autonomous vehicles networks
title_sort security enhancement to autonomous vehicles networks
topic Engineering::Electrical and electronic engineering::Wireless communication systems
url https://hdl.handle.net/10356/149858
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