Machine Learning's widespread application owes to its ability to develop accurate and
scalable models. In cyber-security, where labeled data is scarce, Semi-Supervised Learning …

Although the fifth generation (5G) wireless networks are yet to be fully investigated, the
visionaries of the 6th generation (6G) echo systems have already come into the discussion …

This paper presents a systematic review to identify research combining artificial intelligence
(AI) algorithms with Open source intelligence (OSINT) applications and practices. Currently …

Although the fifth generation wireless networks are yet to be fully investigated, the vision and
key elements of the 6th generation (6G) ecosystem have already come into discussion. In …

Although artificial intelligence (AI) and machine learning (ML) can be deployed to improve
cyber security management, not all managers understand the different types of AI/ML and …

We present CyBERT, a domain-specific Bidirectional Encoder Representations from
Transformers (BERT) model, fine-tuned with a large corpus of textual cybersecurity data …

Generative Artificial Intelligence (GenAI) has emerged as a powerful technology capable of
autonomously producing highly realistic content in various domains, such as text, images …

After Action Reports (AARs) provide incisive analysis of cyber-incidents. Extracting cyber-
knowledge from these sources would provide security analysts with credible information …

Cyber-defense systems are being developed to automatically ingest Cyber Threat
Intelligence (CTI) that contains semi-structured data and/or text to populate knowledge …

The article is a public policy analysis of the development of legislation on critical
infrastructure in the European Union (EU), covering 27 developed countries. More precisely …