The roadmap to 6G security and privacy
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 …
visionaries of the 6th generation (6G) echo systems have already come into the discussion …
A Survey on the Applications of Semi-supervised Learning to Cyber-security
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 …
scalable models. In cyber-security, where labeled data is scarce, Semi-Supervised Learning …
6G security challenges and potential solutions
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 …
key elements of the 6th generation (6G) ecosystem have already come into discussion. In …
Generating fake cyber threat intelligence using transformer-based models
Cyber-defense systems are being developed to automatically ingest Cyber Threat
Intelligence (CTI) that contains semi-structured data and/or text to populate knowledge …
Intelligence (CTI) that contains semi-structured data and/or text to populate knowledge …
From European critical infrastructure protection to the resilience of European critical entities: what does it mean?
C Pursiainen, E Kytömaa - Sustainable and Resilient Infrastructure, 2023 - Taylor & Francis
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 …
infrastructure in the European Union (EU), covering 27 developed countries. More precisely …
Creating cybersecurity knowledge graphs from malware after action reports
After Action Reports (AARs) provide incisive analysis of cyber-incidents. Extracting cyber-
knowledge from these sources would provide security analysts with credible information …
knowledge from these sources would provide security analysts with credible information …
Cybert: Contextualized embeddings for the cybersecurity domain
We present CyBERT, a domain-specific Bidirectional Encoder Representations from
Transformers (BERT) model, fine-tuned with a large corpus of textual cybersecurity data …
Transformers (BERT) model, fine-tuned with a large corpus of textual cybersecurity data …
Deep learning-enabled threat intelligence scheme in the internet of things networks
With the prevalence of Internet of Things (IoT) systems, there should be a resilient
connection between Space, Air, Ground, and Sea (SAGS) networks to offer automated …
connection between Space, Air, Ground, and Sea (SAGS) networks to offer automated …
NLP-Based Techniques for Cyber Threat Intelligence
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 …
traces in the form of textual data are available. Cyber Threat Intelligence~(CTI) is related to …
Combining sociocultural intelligence with Artificial Intelligence to increase organizational cyber security provision through enhanced resilience
PRJ Trim, YI Lee - Big Data and Cognitive Computing, 2022 - mdpi.com
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 …
cyber security management, not all managers understand the different types of AI/ML and …