International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Automated Cyber Threat Identification Using Natural Language Processing

Parumanchala BhaskarDepartment of Computer Science and Engineering, Santhiram Engineering College, Nandyal, 518501, IndiaFarooq Sunar MahammadDepartment of Computer Science and Engineering, Santhiram Engineering College, Nandyal, 518501, IndiaK. RamachariDepartment of Computer Science and Engineering, Santhiram Engineering College, Nandyal, 518501, IndiaS.Arbas BashaDepartment of Computer Science and Engineering, Santhiram Engineering College, Nandyal, 518501, IndiaK.Vivekananda ReddyDepartment of Computer Science and Engineering, Santhiram Engineering College, Nandyal, 518501, IndiaB.Malleswara ReddyDepartment of Computer Science and Engineering, Santhiram Engineering College, Nandyal, 518501, IndiaS.Ravi TejaDepartment of Computer Science and Engineering, Santhiram Engineering College, Nandyal, 518501, India

Vol 9 No 25 (2025): Volume 9, Special Issue of INSPIRE’25 April 2025 | Pages: 395-399

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.INSPIRE64

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Abstract

- This abstract challenge by leveraging Natural Language Processing (NLP) to automate cyber threat identification. The proposed system utilizes advanced NLP techniques to analyse vast amounts of textual data from sources such as cybersecurity reports, social media, forums, and dark web communications. The proliferation of cyberthreats in today's digital world poses serious security and privacy issues. Because malevolent behaviour is dynamic, traditional threat detection techniques usually fall behind. By increasing threat detection's precision, effectiveness, and scalability, the solution seeks to strengthen digital infrastructures' resistance to cyberattacks. Because the digital world moves quickly, cyberattacks are becoming more sophisticated and larger than ever before. By developing a mechanised system for cyber threat identification using Natural Language Processing (NLP), this research will address this basic problem. By improving threat detection's precision, effectiveness, and scalability, the solution aims to strengthen digital infrastructures' defences against cyberattacks.

Keywords

Intelligence on Cyber Threats, Cybersecurity, Natural Language Processing (NLP), Automated Threat Recognition, Analysis of Threats, Machine Learning, Deep Learning, Information Mining, Extraction of Information


Citation of this Article

Parumanchala Bhaskar, Farooq Sunar Mahammad, K. Ramachari, S.Arbas Basha, K.Vivekananda Reddy, B.Malleswara Reddy, & S.Ravi Teja. (2025). Automated Cyber Threat Identification Using Natural Language Processing. In proceeding of International Conference on Sustainable Practices and Innovations in Research and Engineering (INSPIRE'25), published by IRJIET, Volume 9, Special Issue of INSPIRE’25, pp 395-399. Article DOI https://doi.org/10.47001/IRJIET/2025.INSPIRE64

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