Shen C Wang

US Patent:

20210067549, Mar 4, 2021

Filed:

Aug 27, 2020

Appl. No.:

17/004752

Inventors:

- Princeton NJ, US
Jiaping Gui - West Windsor Township NJ, US
Haifeng Chen - West Windsor NJ, US
Junghwan Rhee - Princeton NJ, US
Shen Wang - Chicago IL, US

International Classification:

H04L 29/06
G06N 3/08

Abstract:

Methods and systems for detecting and responding to an intrusion in a computer network include generating an adversarial training data set that includes original samples and adversarial samples, by perturbing one or more of the original samples with an integrated gradient attack to generate the adversarial samples. The original and adversarial samples are encoded to generate respective original and adversarial graph representations, based on node neighborhood aggregation. A graph-based neural network is trained to detect anomalous activity in a computer network, using the adversarial training data set. A security action is performed responsive to the detected anomalous activity.