Leveraging AI and Machine Learning for Cybersecurity: Applications in Threat Detection, NLP-Based Intelligence

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 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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15543300
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging AI and Machine Learning for Cybersecurity: Applications in Threat Detection, NLP-Based Intelligence

Zenodo (CERN European Organization for Nuclear Research)
Network Security and Intrusion Detection
article

Leveraging AI and Machine Learning for Cybersecurity: Applications in Threat Detection, NLP-Based Intelligence

article en

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 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.

Zenodo (CERN European Organization for Nuclear Research)
MIT Art, Design and Technology University (IN)
Openalex Percentile: Top 49%
Network Security and Intrusion Detection
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