Intrusion detection systems remain/persist/continue crucial in safeguarding computer networks from malicious activities/operations/actions. Traditional methods often struggle/face challenges/encounter difficulties in identifying sophisticated attacks/threats/breaches. Recent/Emerging/Novel deep learning techniques offer a promising/a powerful/an ef

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 malware targeting these interconnected networks. This paper presents a novel deep learning approach for int