Social engineering attack classifications on social media using deep learning

• Main Authors: Aun, Yichiet, Gan, Ming-Lee, Abdul Wahab, Nur Haliza, Guan, Goh Hock
• Format: Article
• Language: English
• Published: Tech Science Press 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/106321/1/NurHalizaAbdulWahab2023_SocialEngineeringAttackClassificationsonSocialMedia.pdf; http://eprints.utm.my/106321/; http://dx.doi.org/10.32604/cmc.2023.032373

In defense-in-depth, humans have always been the weakest link in cybersecurity. However, unlike common threats, social engineering poses vulnerabilities not directly quantifiable in penetration testing. Most skilled social engineers trick users into giving up information voluntarily through attacks...