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Getting users to pay attention to anti-phishing education: evaluation of retention and transfer

Published: 04 October 2007 Publication History

Abstract

Educational materials designed to teach users not to fall for phishing attacks are widely available but are often ignored by users. In this paper, we extend an embedded training methodology using learning science principles in which phishing education is made part of a primary task for users. The goal is to motivate users to pay attention to the training materials. In embedded training, users are sent simulated phishing attacks and trained after they fall for the attacks. Prior studies tested users immediately after training and demonstrated that embedded training improved users' ability to identify phishing emails and websites. In the present study, we tested users to determine how well they retained knowledge gained through embedded training and how well they transferred this knowledge to identify other types of phishing emails. We also compared the effectiveness of the same training materials delivered via embedded training and delivered as regular email messages. In our experiments, we found that: (a) users learn more effectively when the training materials are presented after users fall for the attack (embedded) than when the same training materials are sent by email (non-embedded); (b) users retain and transfer more knowledge after embedded training than after non-embedded training; and (c) users with higher Cognitive Reflection Test (CRT) scores are more likely than users with lower CRT scores to click on the links in the phishing emails from companies with which they have no account.

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cover image ACM Other conferences
eCrime '07: Proceedings of the anti-phishing working groups 2nd annual eCrime researchers summit
October 2007
90 pages
ISBN:9781595939395
DOI:10.1145/1299015
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 04 October 2007

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Author Tags

  1. email
  2. embedded training
  3. instructional principles
  4. learning science
  5. phishing
  6. situated learning
  7. usable privacy and security

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  • (2024)VeriSMS: A Message Verification System for Inclusive Patient Outreach against Phishing AttacksProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642027(1-17)Online publication date: 11-May-2024
  • (2024)Exploring the evidence for email phishing training: A scoping reviewComputers & Security10.1016/j.cose.2023.103695139(103695)Online publication date: Apr-2024
  • (2024)We have Phishing at Home: Quantitative Study on Email Phishing Susceptibility in Private ContextsInformation Security10.1007/978-3-031-75764-8_13(246-265)Online publication date: 17-Oct-2024
  • (2024)Cybersecurity Awareness Education: Just as Useful for Technical UsersApplied Cryptography and Network Security Workshops10.1007/978-3-031-61489-7_15(204-208)Online publication date: 29-Jun-2024
  • (2023)Understanding the viability of gmail's origin indicator for identifying the senderProceedings of the Nineteenth USENIX Conference on Usable Privacy and Security10.5555/3632186.3632191(77-96)Online publication date: 7-Aug-2023
  • (2023)Who Gets Caught in the Web of Lies?: Understanding Susceptibility to Phishing Emails, Fake News Headlines, and Scam Text MessagesHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/0018720823117326366:6(1742-1753)Online publication date: 1-May-2023
  • (2023)Towards an Empirical Study to Determine the Effectiveness of Support Systems against E-Mail Phishing AttacksExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585658(1-15)Online publication date: 19-Apr-2023
  • (2023)Sixteen Years of Phishing User Studies: What Have We Learned?IEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.315110320:2(1200-1212)Online publication date: 1-Mar-2023
  • (2023)A Study of Phishing Websites and Scan Evasion Techniques2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)10.1109/CSCE60160.2023.00374(2299-2302)Online publication date: 24-Jul-2023
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