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Decision Under Uncertainties of Online Phishing

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Electrical Engineering and Intelligent Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 130))

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Abstract

Online phishing has been a fast growing information security risk and practical concern for e-commerce consumers. However, various levels of uncertainties exist in consumer knowledge and evaluation of online phishing risks. Drawing upon research in decision under risks and uncertainties, this study categorizes an online consumer’s knowledge of phishing risks as falling under one of four uncertainty states: known certainty, known uncertainty, unknown uncertainty, and unknowable uncertainty. This research focuses on the effect of uncertainty levels of e-commerce consumers’ knowledge of phishing risks on their online purchase intentions and decision. A series of four group experiments were conducted with the four uncertainty knowledge states as treatments among 120 subjects. The experimental results indicate that consumer willingness to pay to avoid risks and their intention to purchase online vary systematically under different uncertainty levels of knowledge of phishing risks.

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Authors and Affiliations

  1. Graduate School Cybersecurity Department, University of Maryland University College, Adelphi, MD, 20783, USA

    Ping An Wang

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  1. Ping An Wang
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Correspondence to Ping An Wang .

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Editors and Affiliations

  1. International Association of Engineers, Unit 1, 1/F, 37-39 Hung To Road, Hong Kong, China

    Sio-Iong Ao

  2. School of Engineering, Applied Mathematics and Computing, Cranfield University, College Road, Cranfield, MK43 0AL, Bedfordshire, United Kingdom

    Len Gelman

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Wang, P.A. (2013). Decision Under Uncertainties of Online Phishing. In: Ao, SI., Gelman, L. (eds) Electrical Engineering and Intelligent Systems. Lecture Notes in Electrical Engineering, vol 130. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2317-1_17

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  • DOI: https://doi.org/10.1007/978-1-4614-2317-1_17

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-2316-4

  • Online ISBN: 978-1-4614-2317-1

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