Domain-specific knowledge graphs: A survey

B Abu-Salih - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying structure of the …

[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions towards automation, intelligence and transparent cybersecurity modeling for critical …

IH Sarker, H Janicke, MA Ferrag, A Abuadbba - Internet of Things, 2024 - Elsevier
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …

Security operations center: A systematic study and open challenges

M Vielberth, F Böhm, I Fichtinger, G Pernul - Ieee Access, 2020 - ieeexplore.ieee.org
Since the introduction of Security Operations Centers (SOCs) around 15 years ago, their
importance has grown significantly, especially over the last five years. This is mainly due to …

Cybersecurity knowledge graphs

LF Sikos - Knowledge and Information Systems, 2023 - Springer
Cybersecurity knowledge graphs, which represent cyber-knowledge with a graph-based
data model, provide holistic approaches for processing massive volumes of complex …

Cybert: Contextualized embeddings for the cybersecurity domain

P Ranade, A Piplai, A Joshi… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
We present CyBERT, a domain-specific Bidirectional Encoder Representations from
Transformers (BERT) model, fine-tuned with a large corpus of textual cybersecurity data …

Vulcan: Automatic extraction and analysis of cyber threat intelligence from unstructured text

H Jo, Y Lee, S Shin - Computers & Security, 2022 - Elsevier
To counteract the rapidly evolving cyber threats, many research efforts have been made to
design cyber threat intelligence (CTI) systems that extract CTI data from publicly available …

Ontologies and artificial intelligence systems for the cooperative smart farming ecosystem

SSL Chukkapalli, S Mittal, M Gupta… - Ieee …, 2020 - ieeexplore.ieee.org
Cyber-Physical Systems (CPS) and Internet of Thing (IoT) generate large amounts of data
spurring the rise of Artificial Intelligence (AI) based smart applications. Driven by rapid …

A survey on cybersecurity knowledge graph construction

X Zhao, R Jiang, Y Han, A Li, Z Peng - Computers & Security, 2024 - Elsevier
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 …

[HTML][HTML] CyberEntRel: Joint extraction of cyber entities and relations using deep learning

K Ahmed, SK Khurshid, S Hina - Computers & Security, 2024 - Elsevier
The cyber threat intelligence (CTI) knowledge graph is beneficial for making robust defense
strategies for security professionals. These are built from cyber threat intelligence data …

Knowledge graph fusion for smart systems: A survey

HL Nguyen, DT Vu, JJ Jung - Information Fusion, 2020 - Elsevier
The emergence of various disruptive technologies such as big data, Internet of Things, and
artificial intelligence have instigated our society to generate enormous volumes of data. The …