System and methods for automatic detection of distributed attacks in IoT devices using decentralized deep learning

Abstract

The present disclosure presents distributed attack detection systems and related methods. One such method comprises executing, by a client computing device, a convolutional neural network model that is configured to detect a network attack on the client computing device; receiving an HTTP request; extracting a uniform resource locator contained within the HTTP request; inputting the uniform resource locator in the convolutional neural network model; receiving an output from the convolutional neural network model that classifies the uniform resource locator as being directed to a network attack on the client computing device; and transmitting, by the client computing device, embeddings of a hidden layer of the convolutional neural network model to one or more computer servers that are hosting a recurrent neural network model for detecting a distributed network attack across a plurality of client computing devices.

CPC Classifications