Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security by Muhammad Maaz, Ghufran Ahmed, Ahmad Sami Al-Shamayleh, Adnan Akhunzada, Shahbaz Siddiqui, Abdulla Hussein Al-Ghushami

“…We achieved approximately 99.6% accuracy in correctly distinguishing between malevolent and non-malicious activities on the Kitsune dataset. Additionally, the TON-IoT dataset demonstrated a remarkable accuracy rate of 99.00%, with minimal drops and low false alert rates. …”
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