From Text to Threat Detection: The Power of NLP in Cybersecurity

Abstract

Natural Language Processing (NLP) is increasingly vital in cybersecurity, enabling the analysis of unstructured data from digital communications to enhance threat detection. This paper is specifically concerned with the changes made by applying natural language processing in conjunction with the machine learning approach in order to demonstrate vulnerability detection. Surprisingly, yet again, an independent phishing detection model with high accuracy level a level of accuracy of 97% was also designed. 39 % with Bidirectional Gated Recurrent Units (BiGRU), and the generated method for cyber threat intelligence records possesses more than 93 % of accuracy, precision, and recall. The findings show effectiveness in the integration of NLP with knowledge bases for further improvement of the meta search on data whereas, the advancement of greater models remains a challenge in the present time. To the extent of this research, this work Chen NLP and get information regarding its feasibility with present and new cybersecurity technologies.