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An Assessment of Users' Cyber Security Risk Tolerance in Reward-Based Exchange

  • Xinhui Zhan
  • , Fiona Fui-Hoon Nah
  • , Maggie Xiaoyan Cheng
  • Missouri University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This study examines users' risk-taking behavior in software downloads. We are interested in quantifying the degree of risks that users are willing to take in the cyber security context. We propose conducting an experiment using Amazon's Mechanical Turk to assess the degree of risks that people are willing to take for monetary gains when they download software from uncertified sources.

Original languageAmerican English
JournalLecture Notes in Computer Science
Volume10923
DOIs
StatePublished - Jul 1 2018

Keywords

  • Behavioral research
  • Cyber security
  • Decision making
  • Decision-making
  • Degree of risks
  • Human engineering
  • Human factors
  • Mechanical turks
  • Risk
  • Risk assessment
  • Risk management
  • Risk-taking behaviors
  • Risks
  • Software downloads

Disciplines

  • Business
  • Computer Sciences

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