The increasing proliferation of Internet of Things (IoT) sensors has significantly expanded the attack surface for cybercriminals. Traditional intrusion detection systems (IDS) often struggle to effectively identify and mitigate sophisticated threats targeting these interconnected networks. This paper presents a novel deep learning approach for int