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Towards Detecting and Classifying Network Intrusion Traffic Using Deep Learning Frameworks
2019
Journal of Internet Services and Information Security
Recent breakthroughs in deep learning algorithms have enabled researchers and practitioners to make significant progress in various hard computer science problems and applications from computer vision and perception, natural language processing and interpretation to complex reasoning tasks such as playing board games (e.g., Go, Chess, etc.) and even overthrowing human champions. Considering the expected acceleration and increase in computer threats, in this article, we explore the utility and
doi:10.22667/jisis.2019.11.30.001
dblp:journals/jisis/BasnetSJWD19
fatcat:xzzxwqpzjzhiffdsxi6237n3qi