Social engineering attack classifications on social media using deep learning
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tech Science Press
2023
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| Subjects: | |
| 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 |
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