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About Generative AI in Cybersecurity - 2025
This paper reviews the applications and vulnerabilities of Generative AI and Large Language Models (LLMs) in cybersecurity, covering various domains such as intrusion detection, malware detection, and phishing detection. It discusses the evolution of LLMs, their strengths and weaknesses, and identifies vulnerabilities like prompt injection and data poisoning, along with mitigation strategies. The study aims to provide insights into enhancing cybersecurity defenses through LLM integration and outlines future research directions.
Detailed Information
| Author: | ['Rizka Ardiansyah'] |
|---|---|
| Publication Year: | 2025 |
| Pages: | 54 |
| Language: | English |
| Format: | |
| Price: | FREE |
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