Training Against Human and Generative-AI Social Engineering Attacks with Cognitive Models

Abstract excerpt

<p>Social engineering attacks are commonly used by cybercriminals to gain valuable and sensitive data. Although the concern of attackers using AI-generated content is serious, training against social engineering attacks is typically based on simple human-designed emails. Our research introduces an experimental paradigm to determine whether there is a difference in the detection of human-generated and AI-generated...

Topics

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• Algorithms
• Child
• Child, Preschool
• Face
• Image Processing, Computer-Assisted
• Infant
• Infant, Newborn
• Machine Learning

Identifiers and source

Literature Corpus work

6ee095e4-c933-5ef0-8208-0f718aed01bb

DOI

10.31234/osf.io/aycqr