Machine Learning in Cybersecurity: Cutting-Edge Approaches to Threat Detection and Protection

Author

Ms. Snehal V. Choudhari, Ms. Pooja S. Bhosale, Ms. Vaishali N. Kalshetti, Dr. Santosh D. Pandure

Abstract

 The exponential rise in cyber threats necessitates innovative solutions that harness the power of Artificial Intelligence (AI) and Machine Learning (ML). This research focuses on developing advanced cybersecurity systems using cutting-edge AI technologies, with an emphasis on Natural Language Processing (NLP) and AI tools like ChatGPT. These technologies aim to revolutionize cyber threat intelligence, malware detection, and the identification of zero-day vulnerabilities. The study integrates foundational cybersecurity principles with the application of ML models, enhancing the detection and mitigation of evolving cyber risks. Hands-on implementation ensures real-world applicability, addressing both technical challenges and practical constraints.

Keywords

Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, Threat Detection, Natural Language Processing (NLP), Intrusion Detection Systems (IDS), Malware Detection, Phishing Detection, Zero-Day Vulnerabilities, Deep Learning.

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