AI-Driven Solutions for Social Engineering Attacks: Detection, Prevention, and Response-Reference-Cited by-同舟云学术

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AI-Driven Solutions for Social Engineering Attacks: Detection, Prevention, and Response

Published:2024-02-26 Issue: Volume:13 Page:1-8
ISSN:
Container-title:2024 2nd International Conference on Cyber Resilience (ICCR)
language:
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Author:

Fakhouri Hussam N.¹,Alhadidi Basim²,Omar Khalil³,Makhadmeh Sharif Naser¹,Hamad Faten⁴,Halalsheh Niveen Z.⁵

Affiliation:

1. University of Petra,Faculty of Information Technology,Data Science and Artificial Intelligence Department,Amman,Jordan

2. Al-Balqa Applied University,Department of Computer Information Systems,Salt,Jordan

3. University of Petra,Computer Science Department,Amman,Jordan

4. Sultan Qaboos University Sultanate of Oman. University of Jordan,Amman Amman,Jordan

5. The University of Jordan,Amman Amman,Jordan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532252/10532778/10533010.pdf?arnumber=10533010

Reference52 articles.

1. Cybercrime at a Scale: A Practical Study of Deployments of HTTP-Based Botnet Command and Control Panels

2. A Simple Generic Attack on Text Captchas

3. A Survey on Artificial Intelligence in Malware as Next-Generation Threats

4. Artificial intelligence-based password brute force attacks;Trieu,2018

5. Artificial Intelligence and Cybersecurity: Past, Presence, and Future

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