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Human and Cognitive Factors involved in Phishing Detection. A Literature Review

  • Diana Arévalo
  • , Daría Valarezo
  • , Walter Fuertes
  • , María Fernanda Cazares
  • , Roberto O. Andrade
  • , Mayra MacAs

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

Abstract

Human and cognitive factors considerably influence social engineering attacks. Cybercriminals take advantage of the innocence, carelessness, stress, lack of knowledge, and other aspects that make human beings vulnerable. Also, there exists difficulty for users to identify an email with phishing. However, the causes and solutions are not only technological; they also depend on human perception. Within this context, in this paper, we perform a systematic literature review using the PRISMA guidelines of the recent studies applying security and cognitive psychology, aiming to identify the human and cognitive factors that are part of a Phishing attack. The main findings of this research are focused on developing future research in cybersecurity, which we believe should go in hand with human cognitive and psychological factors.

Original languageEnglish
Title of host publicationProceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages608-614
Number of pages7
ISBN (Electronic)9798350327595
DOIs
StatePublished - 2023
Event2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023 - Las Vegas, United States
Duration: 24 Jul 202327 Jul 2023

Publication series

NameProceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023

Conference

Conference2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023
Country/TerritoryUnited States
CityLas Vegas
Period24/07/2327/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • cognitive psychology
  • Cognitive security
  • human factors
  • phishing
  • risk perception

CACES Knowledge Areas

  • 116A Computer Science

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