公开(公告)号：US20190303568A1

公开(公告)日：2019-10-03

申请号：US16380687

申请日：2019-04-10

Applicant: HRL Laboratories, LLC

Inventor： Richard J. Patrick ,  Nigel D. Stepp ,  Vincent De Sapio ,  Jose Cruz-Albrecht ,  John Richard Haley ,  Thomas M. Trostel

IPC: G06F21/55 ,  G06N3/08

Abstract: Described is neuromorphic system for authorized user detection. The system includes a client device comprising a plurality of sensor types providing streaming sensor data and one or more processors. The one or more processors include an input processing component and an output processing component. A neuromorphic electronic component is embedded in or on the client device for continuously monitoring the streaming sensor data and generating out-spikes based on the streaming sensor data. Further, the output processing component classifies the streaming sensor data based on the out-spikes to detect an anomalous signal and classify the anomalous signal.

公开(公告)号：US20190230107A1

公开(公告)日：2019-07-25

申请号：US16199128

申请日：2018-11-23

Applicant: HRL Laboratories, LLC

Inventor： Vincent De Sapio ,  Hyun (Tiffany) J. Kim ,  Kyungnam Kim ,  Nigel D. Stepp ,  Kang-Yu Ni ,  Jose Cruz-Albrecht ,  Braden Mailloux

IPC: H04L29/06 ,  H04W12/12 ,  G06F21/55 ,  H04L12/24 ,  G06N3/063

Abstract: Described is a low power system for mobile devices that provides continuous, behavior-based security validation of mobile device applications using neuromorphic hardware. A mobile device comprises a neuromorphic hardware component that runs on the mobile device for continuously monitoring time series related to individual mobile device application behaviors, detecting and classifying pattern anomalies associated with a known malware threat in the time series related to individual mobile device application behaviors, and generating an alert related to the known malware threat. The mobile device identifies pattern anomalies in dependency relationships of mobile device inter-application and intra-applications communications, detects pattern anomalies associated with new malware threats, and isolates a mobile device application having a risk of malware above a predetermined threshold relative to a risk management policy.