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Generative Deep Learning to detect Cyberattacks for the IoT-23 Dataset
2021
IEEE Access
The rapid growth of Internet of Things (IoT) is expected to add billions of IoT devices connected to the Internet. These devices represent a vast attack surface for cyberattacks. For example, these IoT devices can be infected with botnets to enable Distributed Denial of Service (DDoS) attacks. Signaturebased intrusion detection systems are traditional countermeasures for such attacks. However, these methods rely on human experts and are time-consuming in terms of updates and may not exhaust all
doi:10.1109/access.2021.3140015
fatcat:jfdcwtbxqvaozablhg3qodzxea