公开(公告)号：US12242605B2

公开(公告)日：2025-03-04

申请号：US17880793

申请日：2022-08-04

Applicant: Google LLC

Inventor： Merrielle Therese Spain ,  Timothy Dylan Peacock ,  John Edward Davis

IPC: G06F21/56 ,  G06N3/08

Abstract: Aspects of the disclosure are directed to a system for classifying software as malicious or benign based on predicting the effect the software has on the platform before the software is actually deployed. A system as described herein can operate in close to real-time to receive, isolate, and classify software as benign or malicious. Aspects of the disclosure provide for accurate classification of malicious programs or scripts even if ostensibly the program appears benign, and vice versa, based on the effect predicted by a machine learning model trained as described herein. The system can also be implemented to isolate and verify incoming scripts or software to the platform, to provide a predicted classification while not substantially impacting processing pipelines involving platform resources or the user experience with the platform in general.

公开(公告)号：US20230053322A1

公开(公告)日：2023-02-16

申请号：US17880793

申请日：2022-08-04

Applicant: Google LLC

Inventor： Merrielle Therese Spain ,  Timothy Dylan Peacock ,  John Edward Davis

IPC: G06F21/56 ,  G06N3/08

Abstract: Aspects of the disclosure are directed to a system for classifying software as malicious or benign based on predicting the effect the software has on the platform before the software is actually deployed. A system as described herein can operate in close to real-time to receive, isolate, and classify software as benign or malicious. Aspects of the disclosure provide for accurate classification of malicious programs or scripts even if ostensibly the program appears benign, and vice versa, based on the effect predicted by a machine learning model trained as described herein. The system can also be implemented to isolate and verify incoming scripts or software to the platform, to provide a predicted classification while not substantially impacting processing pipelines involving platform resources or the user experience with the platform in general.