Deconstructing Social Engineering: Techniques, Impact Analysis, and Mitigation Strategies

EasyChair Preprint 12050

Abstract

Social engineering represents a pervasive and evolving threat in the realm of cybersecurity, exploiting human psychology to gain unauthorized access to sensitive information or systems. This paper aims to deconstruct the multifaceted landscape of social engineering by delving into its techniques, conducting impact analysis, and proposing effective mitigation strategies. The exploration of social engineering techniques encompasses a comprehensive examination of tactics such as phishing, pretexting, and baiting, shedding light on the manipulative tactics employed by attackers. Understanding these techniques is crucial for building a robust defense against social engineering exploits. Impact analysis investigates the far-reaching consequences of successful social engineering attacks, including financial losses, reputational damage, and compromised data integrity. By assessing the broader implications, organizations can better grasp the urgency of implementing preventative measures. Mitigation strategies are presented as a proactive defense against social engineering threats. Emphasizing a multi-faceted approach, this paper advocates for employee education and awareness programs, robust authentication mechanisms, and the integration of advanced technologies like artificial intelligence to detect and thwart social engineering attempts.

Keyphrases: Artificial Intelligence, Authentication, Baiting, Cyber Threats, Cybersecurity, Employee Education, Human psychology, Information Security, Phishing, Pretexting, Social Engineering, cyber defense, impact analysis, mitigation strategies

@booklet{EasyChair:12050,
  author    = {Jonny Bairstow},
  title     = {Deconstructing Social Engineering: Techniques, Impact Analysis, and Mitigation Strategies},
  howpublished = {EasyChair Preprint 12050},
  year      = {EasyChair, 2024}}