Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020,
indicating an increase of more than 50% since 2018. With the average cyber insurance …

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 …

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 …

In today's dynamic complex cyber environments, Cyber Threat Intelligence (CTI) and the risk
of cyberattacks are both increasing. This means that organizations need to have a strong …

Cyber-threat attribution is the identification of attacker responsible for a cyber-attack. It is a
challenging task as attacker uses different obfuscation and deception techniques to hide its …

Open Cyber threat intelligence (OpenCTI) information is available in an unstructured format
from heterogeneous sources on the Internet. We present CyNER, an open-source python …

Owing to continuous cyberattacks, a large amount of threat intelligence is generated online
every day. However, threat intelligence is mostly unstructured and multisource …

With the rapid development of Internet technology and the advent of the era of big data,
more and more cyber security texts are provided on the Internet. These texts include not only …

Facing the dynamic complex cyber environments, internal and external cyber threat
intelligence, and the increasing risk of cyber-attack, knowledge graphs show great …