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A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security

Publication Date
December 8, 2021
Creator
Item Type
ethesis
Thesis Type
PhD
Supervisors
Keywords

Automated vehicles

Security measures

Machine learning

Anomaly detection (Co...

Subjects (LC)

TK Electrical enginee...

TL Motor vehicles. Ae...

Associated Schools / Departments
Faculty of Engineering
eprints ID
66838
UoN Repository URI
Except where otherwise noted, this item's license is described as
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Name

14289562-QiyiHe-PhDThesis.pdf

Type

Full-text

Description
Examined
Size

11.77 MB

Format

Adobe PDF

Checksum (MD5)

787922870e6c709f1380374ef8bddd8f