Jul 29, 2024 · In this paper, we propose a framework for optimizing human-in-the-loop attack detection, consisting of three key components.

In this paper, we propose a framework for optimizing human-in-the-loop attack detection, consisting of three key components: 1) dynamic alert prioritization, ...

Timely detection of cyber attacks is essential for minimizing attack impact, but it requires accurate real-time situational awareness (SA).

Jul 29, 2024 · In this paper, we propose a framework for optimizing human-in-the-loop attack detection, consisting of three key components: 1) dynamic alert ...

Simulation results show that our proposed policies reduce the time to detection by up to 79% compared to a static baseline policy, while maintaining a target ...

Fingerprint. Dive into the research topics of 'Human-in-the-Loop Cyber Intrusion Detection Using Active Learning'. Together they form a unique fingerprint.

Jul 6, 2022 · ICT security measures are necessary to protect information from unauthorized access. The Human-in-the-Loop approach argues that cybersecurity ...

We propose a general active learning framework and experiment with different choices of learners and sampling strategies. Keywords: Network Security, Machine ...

Oct 16, 2024 · • Human model: Investigation error probability ω. 25. Kim et al, “Human-in-the-loop Cyber Intrusion Detection Using Active Learning" IEEE TIFS, ...

A promising approach to cope with false positives would be to establish a human-in-the-loop machine intelligence system, which effectively integrates human ...