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 …

Generating Interpretable Features for Context-Aware Document Clustering: A Cybersecurity Case Study

LF Gutiérrez, AS Namin - … Conference on Big Data (Big Data), 2022 - ieeexplore.ieee.org
This paper extends the applications of ContextMiner, a framework that we proposed recently
aiming to extract interpretable contextual features to conceptualize knowledge in security …

Enabling Context-Aware Natural Language Processing: From Dense Vector Representations to Contextual Features

LF Gutiérrez - 2023 - ttu-ir.tdl.org
Abstract Natural Language Processing (NLP) is an interdisciplinary approach arose from the
intersection of computer science, artificial intelligence, psychology, and linguistics during the …

Enhancing Smart Contract Security: A Machine Learning Framework Using Natural Language Processing and Unsupervised Techniques

M Andrei - 2024 - search.proquest.com
This thesis explored smart contract security using natural language processing and
unsupervised machine learning techniques. By analyzing reports from Code4Arena and …

Orphan Entity Allocation Using Entity Chunking, Context Mining, and Semantic Networks for CV-Parsing

J Chitale, S Kamthe, V Khatavkar - 2023 Asia Meeting on …, 2023 - ieeexplore.ieee.org
The influx of job applications for a particular job poses a significant challenge for recruiters
using traditional means in hiring candidates in an acceptable time frame. Employing artificial …