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This study introduces a hybrid quantum machine learning (QML) model integrating a quantum convolutional autoencoder (QCAE) and a quantum orthogonal classifier with support vector machine (QOC–SVM) for detecting denial-of-service (DoS) and fuzzy attacks in the controller area network (CAN) of autonomous vehicles (AVs)....
The rapid growth of internet of things (IoT) devices has increased their vulnerability to cyber-attacks, creating a need for accurate and adaptive intrusion detection systems (IDS). This study proposes a hybrid approach that integrates self-organizing maps (SOMs), deep belief networks (DBNs), and autoencoders to detect...
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