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Distributed Denial of Service Attack Detection for the Internet of Things Using Hybrid Deep Learning Model

As a result of the widespread adoption of the Internet of Things, there are now hundreds of millions of connected devices, increasing the likelihood that they may be vulnerable to various types of cyberattacks. In recent years, distributed denial of service (DDoS) has emerged as one of the most dest...

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Bibliografische gegevens
Hoofdauteurs: Ahmed Ahmim, Faiz Maazouzi, Marwa Ahmim, Sarra Namane, Imed Ben Dhaou
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2023-01-01
Reeks:IEEE Access
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Online toegang:https://ieeexplore.ieee.org/document/10295488/
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