Faster, More Accurate IoT Security: A Quantitative Analysis of the CUMAD Framework | HackerNoon
Briefly

CUMAD was evaluated using the N-BaIoT dataset, which consists of both benign and attack traffic from nine types of commercial IoT devices, including doorbells, a thermostat, baby monitors, and security cameras. The dataset captures the normal operational behaviors of these devices, represented via 115 statistical features for each data packet. This setup allows for a thorough comparison of CUMAD's performance against the N-BaIoT scheme, highlighting its effectiveness in identifying compromised IoT devices during evaluation studies.
The N-BaIoT dataset includes benign and attack traffic from various IoT devices, providing critical insights into device behavior under normal and compromised conditions.
CUMAD was evaluated against the N-BaIoT scheme using extensive datasets, allowing for performance comparisons in detecting compromised IoT devices among several commercial models.
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