An NLP-Based Approach to Fortifying Cyber Defenses

Authors

  • Albia Maqbool Department of Computer Sciences Faculty of Computing and Information Technology, Northern Border University, Kingdom of Saudi Arabia
  • Raghav Mehra Professor, Department AI/ML, Chandigarh University
  • Jihane Ben Slimane Department of Computer Sciences Faculty of Computing and Information Technology, Northern Border University, Rafha 91911, Saudi Arabia, National Engineering School of Tunis, LR11ES20 Analysis Design and Control of Systems Laboratory, University of Tunis El Manar, Tunis, Tunisia
  • Eman H. Abd-Elkawy Department of Computer Sciences, Faculty of Computing & IT, Northern Border University, Saudi Arabia, Department of Mathematics and Computer Science, Faculty of Science, Beni-Suef University, Beni-Suef 62521, Egypt
  • Nargis Parveen Lecturer Department of Computer Science, Faculty of Computing and Information Technology, Northern Border University, Kingdom of Saudi Arabia
  • Bindiya Ahuja Professor Department CSE, Lingaya’s Vidyapeeth
  • Greeshma G. S. Assistant Professor, Department -Computer science and Engineering Galgotias university

Keywords:

cybersecurity, fortifying, GDELT, Exploits Database, OTX

Abstract

This research introduces an innovative approach to fortifying cybersecurity defenses through behavior-based anomaly detection and response mechanisms. Leveraging NLP techniques, our LLM analyzes system logs and Websites to identify anomalous patterns indicative for classification of the type of attack. On analysis of the datasets “Exploits Database”,” GDELT” and “OTX”, the system accurately detects deviations and dynamically suggests security measures based on the severity and class of attack. Evaluation on diverse datasets showcases the model's superiority over traditional signature-based methods, emphasizing its efficacy in identifying novel and sophisticated cyber threats. The model has an accuracy of 71.22% in classifying large amount of unlabeled data. This research contributes valuable insights to the ongoing efforts in fortifying digital ecosystems against evolving cybersecurity challenges.

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Published

24.03.2024

How to Cite

Maqbool, A. ., Mehra, R. ., Slimane, J. B. ., Abd-Elkawy, E. H. ., Parveen, N. ., Ahuja, B. ., & G. S., G. . (2024). An NLP-Based Approach to Fortifying Cyber Defenses . International Journal of Intelligent Systems and Applications in Engineering, 12(20s), 667–676. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5197

Issue

Vol. 12 No. 20s (2024)

Section

Research Article

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