Guidelines for Developers and Recommendations for Users to Mitigate Phishing Attacks: An Interdisciplinary Research Approach

Javara Allah Bukhsh*

*Corresponding author for this work

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

Abstract

Phishing attacks are common these days. If successful, these attacks cause psychological, emotional, and financial damage to the victims. Such damages may have a long-term impact. The overall objective of this Ph.D. research is to contribute to mitigating phishing victimization risks by exploring phishing prevalence, user-related risk factors, and vulnerable target groups and by designing (1) guidelines for social website developers focused on internet user vulnerabilities and (2) recommendations for users to avoid such attacks. The Ph.D. research acknowledges that phishing attacks are technical in nature, while the impact is financial and psychological. Therefore, an interdisciplinary research approach focusing on empirical research methods from social sciences (i.e., focus groups and surveys) and computer science (i.e., data-driven techniques such as machine learning) is adopted for the research. In particular, we aim to use a machine learning model for data analytics and quantitative and qualitative research design for psychological analysis. The research outcome of this Ph.D. work is expected to provide recommendations for internet users and organizations developing social-media-based software systems through more phishing aware development practices.

Original languageEnglish
Title of host publicationResearch Challenges in Information Science
Subtitle of host publicationInformation Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings
EditorsSelmin Nurcan, Andreas L. Opdahl, Haralambos Mouratidis, Aggeliki Tsohou
PublisherSpringer
Pages632-640
Number of pages9
ISBN (Print)9783031330797
DOIs
Publication statusPublished - 2023
Event17th International Conference on Research Challenges in Information Science, RCIS 2023 - Corfu, Greece
Duration: 23 May 202326 Aug 2023
Conference number: 17
https://www.rcis-conf.com/rcis2023/

Publication series

NameLecture Notes in Business Information Processing
Volume476 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference17th International Conference on Research Challenges in Information Science, RCIS 2023
Abbreviated titleRCIS 2023
Country/TerritoryGreece
CityCorfu
Period23/05/2326/08/23
Internet address

Keywords

  • n/a OA procedure
  • Guidelines
  • Phishing
  • Recommendations
  • Repeat phishing
  • Risk factors
  • User perspective
  • Vulnerability
  • Empirical research methods

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