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Towards Deep Federated Defenses Against Malware in Cloud Ecosystems
[article]
2019
arXiv
pre-print
In cloud computing environments with many virtual machines, containers, and other systems, an epidemic of malware can be highly threatening to business processes. In this vision paper, we introduce a hierarchical approach to performing malware detection and analysis using several recent advances in machine learning on graphs, hypergraphs, and natural language. We analyze individual systems and their logs, inspecting and understanding their behavior with attentional sequence models. Given a
arXiv:1912.12370v1
fatcat:cbleywzls5g4hm4wbuyipj5u2a