Intrusion detection systems (IDS) are critical for safeguarding computer networks against malicious activities. Traditional IDS methods often struggle to effectively detect novel and sophisticated attacks. To address this challenge, researchers have explored deep learning techniques as a promising approach for enhancing IDS accuracy. This paper pro

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