Abstract
Presented herein are techniques that use multiple neural networks and segmentation of the traffic to detect the presence of applications or business processes within a noisy mixture of network traffic. In addition, the techniques presented herein provide a novel way to detect unusual, bad intentioned, and/or malicious activity, which is also a “process”, using recurrent and convolutional neural networks. The learning outcome can potentially identify compromised network infrastructure devices and/or telemetry collectors.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kvasyuk, Andrey; Dahir, Hazim; and Santos, Omar, "METHOD AND SYSTEM FOR DETECTING A PROCESS OR ACTIVITY USING RECURRENT AND CONVOLUTIONAL 1D NEURAL NETWORKS", Technical Disclosure Commons, (February 03, 2020)
https://www.tdcommons.org/dpubs_series/2927