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What Makes for Effective Visualisation in Cyber Situational Awareness for Non-Expert Users?

, , and . CyberSA, page 1-8. IEEE, (2019)

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Efficient and Interpretable Real-Time Malware Detection Using Random-Forest., , and . CyberSA, page 1-8. IEEE, (2019)GoibhniUWE: A Lightweight and Modular Container-Based Cyber Range., , and . J. Cybersecur. Priv., 4 (3): 615-628 (September 2024)Functionality-Preserving Adversarial Machine Learning for Robust Classification in Cybersecurity and Intrusion Detection Domains: A Survey., , , and . J. Cybersecur. Priv., 2 (1): 154-190 (March 2022)Visual analytics for collaborative human-machine confidence in human-centric active learning tasks., , and . HCIS, (2019)Feature Vulnerability and Robustness Assessment against Adversarial Machine Learning Attacks., , , and . CyberSA, page 1-8. IEEE, (2021)Predicting the Occurrence of World News Events Using Recurrent Neural Networks and Auto-Regressive Moving Average Models., , , and . UKCI, volume 650 of Advances in Intelligent Systems and Computing, page 191-202. Springer, (2017)Longitudinal risk-based security assessment of docker software container images., , and . Comput. Secur., (December 2023)Tools and Techniques for Improving Cyber Situational Awareness of Targeted Phishing Attacks., and . CyberSA, page 1-4. IEEE, (2019)OGMA: Visualisation for Software Container Security Analysis and Automated Remediation., , and . CSR, page 76-81. IEEE, (2022)Unsupervised One-Class Learning for Anomaly Detection on Home IoT Network Devices., and . CyberSA, page 1-8. IEEE, (2021)