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Predicting and identifying Distributed Denial of Service (DDoS) attacks within a fully homomorphic network

Carry out a model such as equality circuits or greater than circuits on a training data set. Then encrypt the data set using a fully homomorphic library such as PySeal on python to encrypt the testing data. Then carry out the model on the encrypted data and make comparison such as timing.

Квалификация: Python, Программирование на С, Machine Learning (ML)

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ID проекта: #22415788



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