A novel intrusion detection framework for optimizing IoT security

<p dir="ltr">The emerging expanding scope of the Internet of Things (IoT) necessitates robust intrusion detection systems (IDS) to mitigate security risks effectively. However, existing approaches often struggle with adaptability to emerging threats and fail to account for IoT-specif...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Abdul Qaddos (20748779) (author)
مؤلفون آخرون:	Muhammad Usman Yaseen (9074552) (author), Ahmad Sami Al-Shamayleh (17541495) (author), Muhammad Imran (282621) (author), Adnan Akhunzada (20151648) (author), Salman Z. Alharthi (17541426) (author)
منشور في:	2024
الموضوعات:	Information and computing sciences Artificial intelligence Cybersecurity and privacy Data management and data science Distributed computing and systems software Machine learning Internet of Things (IoT) Intrusion Detection System (IDS) Cybersecurity Convolutional Neural Network (CNN) Hybrid Model IoT Security Gated Recurrent Unit (GRU)
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A novel intrusion detection framework for optimizing IoT security

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