Cisco Technology, Inc.

Robert Frederick Albach

Nancy Cam-Winget

Saman Taghavi Zargar

Blake Harrell Anderson

Jianxin Wang

Subharthi Paul

Oleg Bessonov

Sanjay Agarwal

Dieter Derek Weber

Mark Steven Knellinger

Presented herein is a system, device and method that involve creating a policy model and policy rule structure for a policy enforcement point to support policies adapt to rapid changing external conditions in addition to traditional policies that are static. The system facilitates the use of attributes that are either or both dynamically (at run-time) created and/or defined as ephemeral. A new policy attribute may be created dynamically (at run-time). The policy attribute may be mapped as being static or ephemeral. The methodology further involves facilitating evaluation of an attribute as an atomic or programmed set of functions.

Adaptive network controls for IoT and other applications

A trained model may be deployed to an Internet-of-Things (IOT) operational environment in order to ingest features and detect events extracted from network traffic. The model may be received and converted into a meta-language representation which is interpretable by a data plane engine. The converted model can then be deployed to the data plane and may extract features from network communications over the data plane. The extracted features may be fed to the deployed model in order to generate event classifications or device state classifications.

Intrusion detection model for an internet-of-things operations environment

Growing community of inventors

Austin, TX, United States of America

Robert Frederick Albach