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Deep-Net: Deep Neural Network for Cyber Security Use Cases
[article]
2018
arXiv
pre-print
Deep neural networks (DNNs) have witnessed as a powerful approach in this year by solving long-standing Artificial intelligence (AI) supervised and unsupervised tasks exists in natural language processing, speech processing, computer vision and others. In this paper, we attempt to apply DNNs on three different cyber security use cases: Android malware classification, incident detection and fraud detection. The data set of each use case contains real known benign and malicious activities
arXiv:1812.03519v1
fatcat:ujvoi2xxdrdmpfbdprfnkkzqzq