LGS cyber researchers are at the forefront of applying advanced machine learning and artificial intelligence to challenging problems in the area of cyber analytics. Our research includes Internet of Things (IoT) analytics for privacy and security, analytics of network impairments from edge data, and development of analytics to support the detection of adversary impact on network traffic.

We deploy a custom toolchain that incorporates Deep Learning and other machine learning techniques to automatically generate cyber sensors from data with minimal user support. Our machine learning and artificial intelligence techniques enable the autonomous identification of signatures and patterns in encrypted traffic to help understand when information is leaked over IoT traffic, thus helping to protect the privacy of IoT users.

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