User susceptibility towards phishing attack based on big five personality traits

Kunasegaran, Durga Letchumy (2016) User susceptibility towards phishing attack based on big five personality traits. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Social engineers prefer to exploit the user rather than the technology that is used by the user because it is much easier to manipulate a user psychologically rather than manipulating a particular network or system that could take days, months or even years to get pass through it. An user’s mind is much more penetrable compared to a network or a system because an attacker just have to talk and sound believable to an end user in order to deceive or scam them in order to retrieve their personal data’s or important information. The attacker would not even require a strong knowledge in network or system instead they only require knowledge in how to mimic and deceive a person emotionally or psychologically. Phishing is a form of social engineering attack and the rate of success through phishing attack is high because many websites, mails or URL’s seems very legitimate that it deceives most of the user making the attack rate more successful. There are studies saying that a user’s respond to a phishing attack is due to certain trigger to their personality traits. This shows that personality trait of a certain individual does affect their susceptibility to fall victim for a phishing attack. Big Five model which consist of openness, conscientiousness, extraversion, agreeableness and neuroticism is a model that is used widely in predicting human behavior which is used in phishing susceptibility framework to determine the susceptibility of a user to phishing attacks. This study will give an empirical value to the phishing susceptibility framework to determine which personality trait relates to the success or failure of a phishing attack which could benefit many organization in future to come up with a mitigation strategy according to the personality traits or even predict the type of attack that could be faced by them due to the personality traits carried out by the users that are using their network.

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