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Wisecrackers: A theory‐grounded investigation of phishing and pretext social engineering threats to information security

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  • Michael Workman

Abstract

The collection and dissemination of information about people by businesses and governments is ubiquitous. One of the main threats to people's privacy comes from human carelessness with this information, yet little empirical research has studied behaviors associated with information carelessness and the ways that people exploit this vulnerability. The studies that have investigated this im‐portant question have not been grounded in theory. In particular, the extant literature reveals little about social engineering threats and the reasons why people may or may not fall victim. Synthesizing theory from the marketing literature to explain consumer behavior, an empirical field study was conducted to see if factors that account for successful marketing campaigns may also account for successful social engineering attacks.

Suggested Citation

  • Michael Workman, 2008. "Wisecrackers: A theory‐grounded investigation of phishing and pretext social engineering threats to information security," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(4), pages 662-674, February.
    • Handle: RePEc:bla:jamist:v:59:y:2008:i:4:p:662-674
    DOI: 10.1002/asi.20779
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    Cited by:

    1. Telmo Fernández De Barrena Sarasola & Ander García & Juan Luis Ferrando, 2024. "IIoT Protocols for Edge/Fog and Cloud Computing in Industrial AI: A High Frequency Perspective," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 14(1), pages 1-30, January.
    2. Zhengyang Fan & Wanru Li & Kathryn Blackmond Laskey & Kuo-Chu Chang, 2024. "Investigation of Phishing Susceptibility with Explainable Artificial Intelligence," Future Internet, MDPI, vol. 16(1), pages 1-18, January.
    3. Naci Akdemir & Serkan Yenal, 2021. "How Phishers Exploit the Coronavirus Pandemic: A Content Analysis of COVID-19 Themed Phishing Emails," SAGE Open, , vol. 11(3), pages 21582440211, July.
    4. Brent Pethers & Abubakar Bello, 2023. "Role of Attention and Design Cues for Influencing Cyber-Sextortion Using Social Engineering and Phishing Attacks," Future Internet, MDPI, vol. 15(1), pages 1-19, January.
    5. Bruning, Patrick F. & Alge, Bradley J. & Lin, Hsin-Chen, 2020. "Social networks and social media: Understanding and managing influence vulnerability in a connected society," Business Horizons, Elsevier, vol. 63(6), pages 749-761.
    6. Jingguo Wang & Yuan Li & H. Raghav Rao, 2017. "Coping Responses in Phishing Detection: An Investigation of Antecedents and Consequences," Information Systems Research, INFORMS, vol. 28(2), pages 378-396, June.
    7. Ryan T. Wright & Matthew L. Jensen & Jason Bennett Thatcher & Michael Dinger & Kent Marett, 2014. "Research Note ---Influence Techniques in Phishing Attacks: An Examination of Vulnerability and Resistance," Information Systems Research, INFORMS, vol. 25(2), pages 385-400, June.
    8. Matthew Canham & Clay Posey & Delainey Strickland & Michael Constantino, 2021. "Phishing for Long Tails: Examining Organizational Repeat Clickers and Protective Stewards," SAGE Open, , vol. 11(1), pages 21582440219, January.
    9. Pigola, Angélica & Da Costa, Priscila Rezende & Ferasso, Marcos & Cavalcanti da Silva, Luís Fabio, 2024. "Enhancing cybersecurity capability investments: Evidence from an experiment," Technology in Society, Elsevier, vol. 76(C).
    10. Frank Kun-Yueh Chou & Abbott Po-Shun Chen & Vincent Cheng-Lung Lo, 2021. "Mindless Response or Mindful Interpretation: Examining the Effect of Message Influence on Phishing Susceptibility," Sustainability, MDPI, vol. 13(4), pages 1-25, February.

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