The Role of Emotional Intelligence in Defending Against Social Engineering

EasyChair Preprint no. 13782

Abstract

Background: Social engineering, the psychological manipulation of individuals to divulge confidential information or perform actions that compromise security, is a prevalent and evolving threat in the digital age. Traditional defense mechanisms, primarily focused on technical solutions, often overlook the human factor, which is frequently exploited by social engineers. Emotional intelligence (EI), the ability to recognize, understand, and manage one's own emotions and the emotions of others, is an emerging area of interest in strengthening human defenses against such manipulative tactics.

Objective: This research aims to investigate the impact of emotional intelligence on individuals' susceptibility to social engineering attacks. Specifically, it seeks to determine whether higher levels of emotional intelligence can enhance the detection and prevention of social engineering attempts, thereby contributing to overall cybersecurity resilience.

Methodology: The study will employ a mixed-methods approach, combining quantitative and qualitative data collection and analysis. A sample of participants from various professional backgrounds will be assessed for their emotional intelligence using standardized tests such as the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Participants will then be subjected to simulated social engineering scenarios designed to mimic real-world attacks, such as phishing emails, pretexting calls, and baiting attempts. Their responses and decisions during these scenarios will be recorded and analyzed.

Keyphrases: Cybersecurity, decision making, emotional awareness, Emotional Intelligence, Human Factors, Psychological Manipulation., security awareness, Social Engineering

@Booklet{EasyChair:13782,
  author = {Adeoye Ibrahim},
  title = {The Role of Emotional Intelligence in Defending Against Social Engineering},
  howpublished = {EasyChair Preprint no. 13782},

  year = {EasyChair, 2024}}