The development of key technologies of knowledge graph (KG) has promoted the
development of machine cognition technology, and the combination of KG and industry as …

Cybersecurity researchers have contributed to the automated extraction of CTI from textual
sources, such as threat reports and online articles describing cyberattack strategies …

Open-source cyber threat intelligence (OSCTI) is becoming more influential in obtaining
current network security information. Most studies on cyber threat intelligence (CTI) focus on …

Instant analysis of cybersecurity reports is a fundamental challenge for security experts as
an immeasurable amount of cyber information is generated on a daily basis, which …

Countless cyber threat intelligence (CTI) reports are used by companies around the world
on a daily basis for security reasons. To secure critical cybersecurity information, analysts …

With the development of advanced persistent threat (APT) and the increasingly severe
situation of network security, the strategic defense idea with the concept of “active defense …

Context: The dramatically increasing number of vulnerabilities makes manual vulnerability
analysis increasingly more difficult. Automatic extraction of vulnerability information can help …

Cyber Threat Intelligence (CTI), which is knowledge of cyberspace threats gathered from
security data, is critical in defending against cyberattacks. However, there is no open-source …

This paper describes the development and implementation of a natural language
processing model based on machine learning which performs cognitive analysis for …

Named Entity Recognition (NER) is important in the cybersecurity domain. It helps
researchers extract cyber threat information from unstructured text sources. The extracted …