An assessment of users’ cyber security risk tolerance in reward-based exchange

Document Type

Conference Proceeding

Publication Date

1-1-2018

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.

Identifier

85050470307 (Scopus)

ISBN

[9783319917153]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/978-3-319-91716-0_34

e-ISSN

16113349

ISSN

03029743

First Page

431

Last Page

441

Volume

10923 LNCS

Grant

CNS/1537538

Fund Ref

National Science Foundation

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