Northrop Grumman Systems Corporation

Peraton Inc.

Om Prakash, Ii

David A Selck

Sam S Shekar

Lito Medalle

H Morgan Crafts, Jr

A system for biology based anti-tamper and a method for detecting a tampering activity to an object using biological materials are provided. The system includes a biological medium that includes a biological member such as deoxyribonucleic acid (DNA), ribonucleic acid (RNA), and/or live or hibernating organism. The biological medium is applied to a portion of an object that is required to monitor whether any tampering may have occurred. The biological member is engineered to change its state when exposed to a stimulus. Upon suspicion, the state of the biological member is examined to find if there is any change of state. The biological member is capable of being barcoded, which provides an extra security measure.

System and method for providing biology-based anti-tamper

A system for classifying an origin of genomic sequence data may include a training database comprising sample data including first samples corresponding to sequences of natural origin and second samples corresponding to sequences of synthetic origin, and a classifier comprising a genomic classification module. The genomic classification module may be trained via machine learning on the first and second samples. The genomic classification module may be configured to receive genomic sequence data of any read length and determine a classification output indicating whether the genomic sequence data has a natural origin or synthetic origin.

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McLean, VA, United States of America

Om Prakash, Ii