摘要大数据时代下, 面对不断膨胀的数据信息, 复杂多样的应用场景, 异构的硬件架构和参差不齐
的用户使用水平, 传统数据库技术很难适应这些新的场景和变化. 机器学习技术因其较强的学习 …

Digitization in healthcare systems, with the wid adoption of Electronic Health Records,
connected medical devices, software and systems providing efficient healthcare service …

This study reveals various findings, including the most influential authors and the top
countries, journals, papers, funding institutions and affiliations publishing research on …

Detecting cybersecurity intelligence (CSI) on social media such as Twitter is crucial because
it allows security experts to respond cyber threats in advance. In this paper, we devise a new …

When a new computer security vulnerability is publicly disclosed, only a textual description
of it is available. Cybersecurity experts later provide an analysis of the severity of the …

The healthcare sectors have constantly faced significant challenge due to the rapid rise of
cyber threats. These threats can pose any potential risk within the system context and disrupt …

Knowing if/when a cyber-vulnerability will be exploited and how severe the vulnerability is
can help enterprise security officers (ESOs) come up with appropriate patching schedules …

Continuously striving for cyberthreat awareness is an essential task to secure an IT
infrastructure. Analysts must guarantee access to information on the most up-to-date …

Online social media such as Twitter has been used as an important source for predicting,
detecting, or analyzing critical social phenomena such as elections, disease outbreaks, and …

This article discusses the challenges of pseudonymizing unstructured, noisy social media
data for cybersecurity research purposes and presents an open-source package developed …