Artificial Intelligence for Threat Anomaly Detection Using Graph Databases – A Semantic Outlook-Reference-Cited by-同舟云学术

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Artificial Intelligence for Threat Anomaly Detection Using Graph Databases – A Semantic Outlook

Published:2024-03-22 Issue: Volume: Page:249-278
ISSN:
Container-title:Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection
language:en
Short-container-title:

Author:

Grata Edwiges G.H.,Deshpande Anand,Lopes Ricardo T.,Laghari Asif A.,Khan Abdullah A.,Jenice Aroma R.,Raimond Kumudha,Yin Shoulin,Jumani Awais Khan

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781394196470.ch13

Reference99 articles.

1. Applications of Machine Learning Techniques in the Realm of Cybersecurity

2. Emergency Response Cyber-Physical Framework for Landslide Avoidance with Sustainable Electronics †

3. Cyber conflict short of war: a European strategic vacuum;Liebetrau T.;European Security,2022

4. Internet of Medical Things (IoMT) Layers for Medical Cyber-Physical Systems

5. In-Body Devices and Sensors Communication – How Implantables, Ingestibles, and Injectables Interact with the Internet

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative AI for Threat Hunting and Behaviour Analysis;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13

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