IoT devices are notoriously under-secured. Unlike traditional computing systems, these devices often come with limited ...

The third module is an ML-based detection application comprising four phases: data preprocessing, feature extraction, training and testing, and classification. This module detects DDoS attacks using ...

As part of IoT with DDoS attack detection, FS proposes to recognize a subset of IoT-related features that is optimum to represent the traffic features and distinguish between malicious and benign ...