Cyber threat intelligence mining for proactive cybersecurity defense: a survey and new perspectives

N Sun, M Ding, J Jiang, W Xu, X Mo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Today's cyber attacks have become more severe and frequent, which calls for a new line of
security defenses to protect against them. The dynamic nature of new-generation threats …

NLP-Based Techniques for Cyber Threat Intelligence

M Arazzi, DR Arikkat, S Nicolazzo, A Nocera… - arxiv preprint arxiv …, 2023 - arxiv.org
In the digital era, threat actors employ sophisticated techniques for which, often, digital
traces in the form of textual data are available. Cyber Threat Intelligence~(CTI) is related to …

Fine-Tuning Large Language Models for Network Traffic Analysis in Cyber Security

O Lavi, O Manor, T Schwartz, AF Murillo… - … IEEE Conference on …, 2024 - ieeexplore.ieee.org
Language modelling has demonstrated the exceptional interpretation and analysis
capabilities of Large Language Models (LLMs) in addressing a wide range of Natural …

Computer Network Information Retrieval Algorithm Integrating Data Structure Fusion Optimization

J Guoming - 2024 International Conference on Inventive …, 2024 - ieeexplore.ieee.org
The exponential growth of digital information requires advanced methods for efficient
information retrieval. This paper proposes a novel algorithm that integrates data structure …

Social Engineering Awareness in ODLS: A Survey on Human Vulnerabilities in Cybersecurity

GF Shehu, FN Ogwueleka - IUP Journal of Information …, 2024 - search.proquest.com
The paper examines social engineering, a technique that capitalizes on human
vulnerabilities tolaunch cybercrimes in open and distance learning (ODL) systems. A survey …

RiskRadar: an NLP-driven summarization system for query-based security insights

MS Zilane, MM Rahman, AI Jisa, QA Elma, A Rifat - 2024 - dspace.bracu.ac.bd
The evolving complexity and frequency of cyber threat incidents demand the development of
robust, user-friendly systems that can educate and assist users, and help them understand …

DESIGN OF AN IMPROVED MODEL FOR INFORMATION RETRIEVAL USING HIERARCHICAL FCM CLUSTERING AND RERANKING

RD Bhoyar, DN Satange - Machine …, 2024 - machineintelligenceresearchs.com
The need for enhanced information retrieval systems is driven by the exponential growth of
web content, necessitating more accurate and efficient methods to manage and retrieve …