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Using Behavioural Segmentation for Diagnosing and Tackling Cybersecurity Risk

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Event
  • Session
  • Monday, 05 November 2018
  • 15:5 - 15:5
  • Duration: 28 mins
  • Publication date: 22 Nov 2018
  • Location: Turing Lecture Theatre, IET London: Savoy Place, London, United Kingdom
  • Part of event Behavioural Science in Transport

About the session

This talk will demonstrate how behavioural science techniques could be used to understand whether and to what extent different individuals are vulnerable to various transport cybersecurity risks.

By splitting the population into behavioural rather than demographics-based types, we show how susceptibility to become a victim of transport cybercrime varies across those identified types.

The talk will discuss policy implications of this approach for understanding, communicating, and alleviating cybersecurity risks and vulnerabilities associated with transport.

Keywords:
  • autonomous
  • behaviour
  • bike
  • cars
  • commuting
  • connected devices
  • cybercrime
  • cycling
  • transport
  • travel

Channels

Transport

Transport

Speaker

  • GP

    Ganna Pogrebna

    University of Birmingham

    Ganna Pogrebna is a Professor of Behavioural Economics and Data Science at the University of Birmingham and a Fellow at the Alan Turing Institute. Her research interests in cybersecurity are around understanding and optimising human behaviour in cyber spaces. She is one of the authors of Cyber Domain Specific Risk Attitudes scale (CyberDoSpeRT) which measures human attitudes towards cybersecurity risks. Her book “Navigating New Cyber Risks: How Businesses Can Plan, Build and Manage Safe Spaces in the Digital Age” is due to come out later this year. Ganna works on behavioural segmentation algorithms for cybersecurity and concentrates on using behavioural science to predict vulnerabilities, measuring risk and uncertainty associated with these vulnerabilities as well as designing decision support systems which help alleviate cybersecurity risks.
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