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Home
About
KBS Mission Statement
KBS Strategic Plan
KBS Structure
KBS Facilities
KBS & PRME
KBS Accreditation Success
Staff List
Accounting & Finance
Economics
Management & Marketing
Work And Employment Studies
KBS Magazine
UL Student Achievement Statistics
Internal Information for KBS Faculty and Staff
Contact
Courses
Undergraduate Courses
Taught Postgraduate Courses
PhD Research
Executive Education
Centre for Project Management
Centre for Taxation Studies
MBA Executive Programme
Management Development Unit
Departments
Department of Accounting and Finance
About
Programmes
Research
Exemptions
Contact Information
Department of Economics
About
Economics Staff
Programmes
Research
Faculty Contact & Information
Department of Management and Marketing
About
Programmes
Research
Collaboration and Stakeholder Engagement
Management & Marketing Staff
Contact Information
Department of Work and Employment Studies
About
Programmes
Research
Research Impact
Visiting Professors
Work & Employment Studies Staff
Contact Information
Current Students
Research
What we Research
Research Programmes - Masters by Research and PhD
Traditional versus Structured PhD
How to apply for a PhD / Masters by Research at KBS?
Meet our Research Students
PhD Research Scholarship Opportunities
Find a Supervisor
Research Bulletins
Research Ethics
Contact for Further Information
KBS International
Incoming International Students
KBS European Partners
KBS Student Exchange - Outgoing Students
Community Engagement
KBS and PRME
KBS/BSTAI Awards
Centre for Academic Achievement @UL
KBS Annual Coffee Morning & Cake Sale
KBS Business Breakfast
KBS MBA & Milford Hospice
KBS/Northern Trust Awards
Equality & Diversity
Covid-19
Publication
Home
|
Connected and autonomous vehicles: A cyber-risk classification framework
Connected and autonomous vehicles: A cyber-risk classification framework
Sheehan B.;Murphy F.;Mullins M.;Ryan C.
Transportation Research Part A-Policy And Practice
(2019)
10.1016/j.tra.2018.06.033
