Abstract: This research proposes a self-supervised anomaly detection framework tailored for encrypted network flows, leveraging Gated Recurrent Unit (GRU) models trained with sequence reconstruction ...
Abstract: In today's digital era, cryptographic algorithms play a vital role in safeguarding sensitive information, maintaining confidentiality, and defending against cyberattacks. With the growing ...
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