Institute for Information Industry

Trend Micro Inc.

Kun-Wei Lee

Chi-Huang Fan

Te-En Wei

Yi-Hung Cheng

Hsiao-Hsien Chang

Chin-Wei Chen

Chang-Hsing Ho

An abnormal flow detection device and an abnormal flow detection method thereof are provided. The abnormal flow detection device analyses a plurality of packets captured during a time interval to obtain a plurality of flow features of each packet and selects at least one key flow feature from the flow features based on a dimensionality reduction algorithm. The abnormal flow detection device trains a bidirectional generative adversarial network (BiGAN) by taking the at least one key flow feature of each packet as an input of the BiGAN to build a flow recognition model for detecting abnormal flows.

Abnormal flow detection device and abnormal flow detection method thereof

Upon detection of a suspicious file, a client computer sends feedback data to an anti-malware service over the Internet. Files that are not suspicious or that are known clean are not reported; files that are known malware are acted upon immediately without needing to report them to the anti-malware service. Upon detection, no alert or warning is provided to the user of the client computer. The anti-malware service correlates data from other detection engines on the client computer or from other client computers and determines whether the file is malware or not. A new virus pattern is generated if the file is malware and includes the virus signature of the file; the new virus pattern is distributed back to the client computers. If not malware, no action need be taken, or, the virus signature of the file is removed from existing pattern files.

Silent detection of malware and feedback over a network

Growing community of inventors

Taipei, Taiwan

Kun-Wei Lee