A novel intrusion detection framework for optimizing IoT security

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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Bibliographic Details
Main Author: Abdul Qaddos (20748779) (author)
Other Authors: Muhammad Usman Yaseen (9074552) (author), Ahmad Sami Al-Shamayleh (17541495) (author), Muhammad Imran (282621) (author), Adnan Akhunzada (20151648) (author), Salman Z. Alharthi (17541426) (author)
Published: 2024
Subjects:
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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