Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149858
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dc.contributor.authorTruong, Thanh Thaien_US
dc.date.accessioned2021-06-09T06:33:07Z-
dc.date.available2021-06-09T06:33:07Z-
dc.date.issued2021-
dc.identifier.citationTruong, T. T. (2021). Security enhancement to autonomous vehicles networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149858en_US
dc.identifier.urihttps://hdl.handle.net/10356/149858-
dc.description.abstractAutonomous 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.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineering::Wireless communication systemsen_US
dc.titleSecurity enhancement to autonomous vehicles networksen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorMa Maodeen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.supervisoremailEMDMa@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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