Identification of different classes of Malware using a shallow layered convolutional neural network -Converting the binaries of malware code into grayscale images, then packing them and preparing datasets. -Training a convolutional neural network on the prepared datasets to identify and classify the IoT malware families into goodware and DDOS malware. Datasets not provided
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Identification of different classes of Malware using a shallow layered convolutional neural network -Converting the binaries of malware code into grayscale images, then packing them and preparing datasets. -Training a convolutional neural network on the prepared datasets to identify and classify the IoT malware families into goodware and DDOS ma…
sandeeppatra96/IoTmalwareCNN
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Identification of different classes of Malware using a shallow layered convolutional neural network -Converting the binaries of malware code into grayscale images, then packing them and preparing datasets. -Training a convolutional neural network on the prepared datasets to identify and classify the IoT malware families into goodware and DDOS ma…
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