Abstract: Insider threat detection has become a paramount concern in modern times where organizations strive to safeguard their sensitive information and critical assets from malicious actions by ...
Abstract: We present a convolutional neural network-based intrusion detection method called the normalized intrusion convolution kernel, integrated with a Mach-Zehnder Interferometer Optical Fiber ...
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