Discovering the Correlation Between Phishing Susceptibility Causing Data Biases and Big Five Personality Traits Using C-GAN

Document Type

Article

Source of Publication

IEEE Transactions on Computational Social Systems

Publication Date

9-16-2022

Abstract

Recently, on social media, various kinds of social engineering (SE) have made individuals more susceptible to attacks. A phishing attempt is a widely used SE technique that takes advantage of people’s vulnerabilities to acquire personal or confidential information. These attempts are growing at an astonishing speed, causing harm to both individuals and corporations. According to the latest studies, certain individuals are more vulnerable to such kinds of attacks than others. However, the relationship between psychological characteristics and phishing attacks has not been adequately investigated. This study empirically explores the connection between phishing vulnerability that causes data biases and the Big Five personality traits. Recognizing personality traits that make people more vulnerable to phishing attempts is a key step in developing protection and safeguarding individuals. The individuals who scored high in some traits are more probable to suffer from such assault. To the best of our knowledge, no prior quantitative study has attempted to find many genuine phishing victims and their personality behavior. This problem lacks the availability of publically accessible data. It is also challenging to estimate the probability distribution of rows in tabular data and generate realistic synthetic data to train/test the model on more data. This work employs a conditional generative adversarial network (C-GAN) for both data generation and classification to find the correlation between personality traits and phishing attacks.

ISSN

2329-924X

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Volume

PP

Issue

99

First Page

1

Last Page

9

Disciplines

Computer Sciences

Keywords

Phishing, Electronic mail, Psychology, Organizations, Social networking (online), Correlation, Uniform resource locators

Indexed in Scopus

no

Open Access

no

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