Device and Risk Aversion in the Context of Cyber Security Phishing Attacks

Naama Ilany-Tzur, Noa Benjo, Lihi Ohayon, Lior Fink

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This research-in-progress suggests that smartphone users are more risk averse in their online behavior than PC users, presumably because of their lower attention and consequent tendency to avoid risky behavior. We analyze data from a cyber security startup company, which provides security solutions for domestic networks, about online user behavior in all devices in a sample of households. The analysis of about half a million URL requests shows that the use of a smartphone is positively associated with target URL safety, implying that a PC is more likely to be used than a smartphone to target unsafe URLs. Future stages of this study will include a controlled experiment in which device and risk will be exogenously manipulated. This work contributes to the mobile use literature, as well as to the security and privacy literature, by highlighting device-related boundary conditions in the susceptibility of users to phishing attacks.

Original languageAmerican English
Title of host publication42nd International Conference on Information Systems, ICIS 2021 TREOs
Subtitle of host publication"Building Sustainability and Resilience with IS: A Call for Action"
PublisherAssociation for Information Systems
ISBN (Electronic)9781713893608
StatePublished - 1 Jan 2021
Event42nd International Conference on Information Systems: Building Sustainability and Resilience with IS: A Call for Action, ICIS 2021 TREOs -
Duration: 1 Jan 2021 → …

Publication series

Name42nd International Conference on Information Systems, ICIS 2021 TREOs: "Building Sustainability and Resilience with IS: A Call for Action"

Conference

Conference42nd International Conference on Information Systems: Building Sustainability and Resilience with IS: A Call for Action, ICIS 2021 TREOs
Period1/01/21 → …

Keywords

  • Cyber-security
  • device usage
  • online user behavior
  • smartphone

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

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