IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v35y2024i3p1463-1478.html
   My bibliography  Save this article

Ontology-Based Intelligent Interface Personalization for Protection Against Phishing Attacks

Author

Listed:
  • Fatemeh Mariam Zahedi

    (Sheldon B. Lubar College of Business, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53211)

  • Yan Chen

    (College of Business, Florida International University, Miami, Florida 33199)

  • Huimin Zhao

    (Sheldon B. Lubar College of Business, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53211)

Abstract

Millions of users on the Internet have fallen into phishing website traps. Detection tools are designed to warn users against such attacks but often fail to achieve this purpose due to usability issues. To address these issues and increase user self-protection against such attacks, we propose an ontology-based intelligent interface personalization (OBIIP) design for the warning interfaces of phishing website detection tools. Our design involves two phases: proof-of-concept and proof-of-value. The proof-of-concept phase consists of developing an ontology of warning interface elements (OWIE) based on the ontology approach in design science, expert feedback, and inputs from multiple populations through three rounds of surveys with 1,297 participants. OWIE is then used in the design and creation of an OBIIP prototype. The proof-of-value phase involves a controlled laboratory experiment (with 596 participants) to assess OBIIP’s value in terms of users’ self-protection performance as well as a posthoc online data collection (with 191 participants) and analysis to reveal the role of the design element categories in users’ trust and perceived personalization in OBIIP. The assessment results show the significant value of OBIIP in improving self-protection performance as well as the pervasive impact of OBIIP in improving users’ relationship with the security tool in terms of trust in and use of the tool. This work also identifies categories of design elements that matter in the OBIIP process.

Suggested Citation

  • Fatemeh Mariam Zahedi & Yan Chen & Huimin Zhao, 2024. "Ontology-Based Intelligent Interface Personalization for Protection Against Phishing Attacks," Information Systems Research, INFORMS, vol. 35(3), pages 1463-1478, September.
    • Handle: RePEc:inm:orisre:v:35:y:2024:i:3:p:1463-1478
    DOI: 10.1287/isre.2021.0065
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.2021.0065
    Download Restriction: no
    File URL: https://libkey.io/10.1287/isre.2021.0065?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kanagaretnam, Kiridaran & Mestelman, Stuart & Nainar, S.M. Khalid & Shehata, Mohamed, 2010. "Trust and reciprocity with transparency and repeated interactions," Journal of Business Research, Elsevier, vol. 63(3), pages 241-247, March.
    2. Dengpan Liu & Sumit Sarkar & Chelliah Sriskandarajah, 2010. "Resource Allocation Policies for Personalization in Content Delivery Sites," Information Systems Research, INFORMS, vol. 21(2), pages 227-248, June.
    3. Kar Yan Tam & Shuk Ying Ho, 2005. "Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective," Information Systems Research, INFORMS, vol. 16(3), pages 271-291, September.
    4. Ahmed Abbasi & David Dobolyi & Anthony Vance & Fatemeh Mariam Zahedi, 2021. "The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites," Information Systems Research, INFORMS, vol. 32(2), pages 410-436, June.
    5. Rohit Yadav & Tripti Mahara, 2020. "Exploring the Role of E-Servicescape Dimensions on Customer Online Shopping: A Stimulus-Organism-Response Paradigm," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 18(3), pages 53-73, July.
    6. Austin Roorda & David R. Williams, 1999. "The arrangement of the three cone classes in the living human eye," Nature, Nature, vol. 397(6719), pages 520-522, February.
    7. 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.
    8. Saman Attiq & Hassan Rasool & Shahid Iqbal, 2017. "The Impact of Supportive Work Environment, Trust, and Self-Efficacy on Organizational Learning and Its Effectiveness: A Stimulus-Organism Response Approach," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(2), pages 73-100, June.
    9. Eroglu, Sevgin A. & Machleit, Karen A. & Davis, Lenita M., 2001. "Atmospheric qualities of online retailing: A conceptual model and implications," Journal of Business Research, Elsevier, vol. 54(2), pages 177-184, November.
    10. D. Veena Parboteeah & Joseph S. Valacich & John D. Wells, 2009. "The Influence of Website Characteristics on a Consumer's Urge to Buy Impulsively," Information Systems Research, INFORMS, vol. 20(1), pages 60-78, March.
    11. Yan Chen & Dennis F. Galletta & Paul Benjamin Lowry & Xin (Robert) Luo & Gregory D. Moody & Robert Willison, 2021. "Understanding Inconsistent Employee Compliance with Information Security Policies Through the Lens of the Extended Parallel Process Model," Information Systems Research, INFORMS, vol. 32(3), pages 1043-1065, September.
    12. Benlian, Alexander, 2015. "Web Personalization Cues and their Differential Effects on User Assessments of Website Value," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 74450, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    13. Monica Johar & Vijay Mookerjee & Sumit Sarkar, 2014. "Selling vs. Profiling: Optimizing the Offer Set in Web-Based Personalization," Information Systems Research, INFORMS, vol. 25(2), pages 285-306, June.
    14. Benlian, Alexander, 2015. "Web Personalization Cues and their Differential Effects on User Assessments of Website Value," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 73386, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    15. Hsieh, Sara H. & Lee, Crystal T. & Tseng, Timmy H., 2021. "Branded app atmospherics: Examining the effect of pleasure–arousal–dominance in brand relationship building," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dominick Werner & Martin Adam & Alexander Benlian, 2022. "Empowering users to control ads and its effects on website stickiness," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1373-1397, September.
    2. Grigorios, Lamprinakos & Magrizos, Solon & Kostopoulos, Ioannis & Drossos, Dimitrios & Santos, David, 2022. "Overt and covert customer data collection in online personalized advertising: The role of user emotions," Journal of Business Research, Elsevier, vol. 141(C), pages 308-320.
    3. Yang, Feng & Tang, Jing & Men, Jinqi & Zheng, Xiabing, 2021. "Consumer perceived value and impulse buying behavior on mobile commerce: The moderating effect of social influence," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    4. Amy Wenxuan Ding & Shibo Li & Patrali Chatterjee, 2015. "Learning User Real-Time Intent for Optimal Dynamic Web Page Transformation," Information Systems Research, INFORMS, vol. 26(2), pages 339-359, June.
    5. Yunhui Huang & Kai H. Lim & Zhijie Lin & Shunping Han, 2019. "Large Online Product Catalog Space Indicates High Store Price: Understanding Customers’ Overgeneralization and Illogical Inference," Information Systems Research, INFORMS, vol. 30(3), pages 963-979, September.
    6. Schreiner, Timo & Rese, Alexandra & Baier, Daniel, 2019. "Multichannel personalization: Identifying consumer preferences for product recommendations in advertisements across different media channels," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 87-99.
    7. Tibert Verhagen & Daniel Bloemers, 2018. "Exploring the cognitive and affective bases of online purchase intentions: a hierarchical test across product types," Electronic Commerce Research, Springer, vol. 18(3), pages 537-561, September.
    8. José Alberto Martínez-González & Carmen D. Álvarez-Albelo, 2021. "Influence of Site Personalization and First Impression on Young Consumers’ Loyalty to Tourism Websites," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    9. Liang Xiao & Feipeng Guo & Fumao Yu & Shengnan Liu, 2019. "The Effects of Online Shopping Context Cues on Consumers’ Purchase Intention for Cross-Border E-Commerce Sustainability," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    10. Sriram Thirumalai & Kingshuk K. Sinha, 2013. "To Personalize or Not to Personalize Online Purchase Interactions: Implications of Self-Selection by Retailers," Information Systems Research, INFORMS, vol. 24(3), pages 683-708, September.
    11. Jia, Lin & Xue, Geng & Fu, Yuwei & Xu, Longjia, 2018. "Factors affecting consumers’ acceptance of e-commerce consumer credit service," International Journal of Information Management, Elsevier, vol. 40(C), pages 103-110.
    12. Laroche, Michel & Li, Rong & Richard, Marie-Odile & Zhou, Mi, 2022. "An investigation into online atmospherics: The effect of animated images on emotions, cognition, and purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    13. Weidig, Jakob & Weippert, Marco & Kuehnl, Christina, 2024. "Personalized touchpoints and customer experience: A conceptual synthesis," Journal of Business Research, Elsevier, vol. 177(C).
    14. Gao, Lingling & Bai, Xuesong, 2014. "Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 653-665.
    15. Zhiling Guo & Jin Li & Ram Ramesh, 2019. "Optimal Management of Virtual Infrastructures Under Flexible Cloud Service Agreements," Information Systems Research, INFORMS, vol. 30(4), pages 1424-1446, April.
    16. Jian Tang & Ping Zhang & Philip Fei Wu, 2015. "Categorizing consumer behavioral responses and artifact design features: The case of online advertising," Information Systems Frontiers, Springer, vol. 17(3), pages 513-532, June.
    17. Robert G. Alexander & Stephen L. Macknik & Susana Martinez-Conde, 2022. "What the Neuroscience and Psychology of Magic Reveal about Misinformation," Publications, MDPI, vol. 10(4), pages 1-19, September.
    18. Wenjun Cai & Jibao Gu & Jianlin Wu, 2021. "How Entrepreneurship Education and Social Capital Promote Nascent Entrepreneurial Behaviours: The Mediating Roles of Entrepreneurial Passion and Self-Efficacy," Sustainability, MDPI, vol. 13(20), pages 1-11, October.
    19. Yulin Chen, 2019. "Information Clues and Emotional Intentions: A Case Study of the Regional Image of the Cultural and Creative Community," Administrative Sciences, MDPI, vol. 9(2), pages 1-27, May.
    20. Johannes Klumpe & Oliver Francis Koch & Alexander Benlian, 2020. "How pull vs. push information delivery and social proof affect information disclosure in location based services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 569-586, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orisre:v:35:y:2024:i:3:p:1463-1478. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.