An intelligent hybrid deep learning approach for securing internet of things threat networks from cyber threats
The rapid growth of internet of things (IoT) devices has increased their vulnerability to cyber-attacks, creating a need for accurate and adaptive intrusion detection systems (IDS). This study proposes a hybrid approach that integrates self-organizing maps (SOMs), deep belief networks (DBNs), and autoencoders to detect...