Franklin, TN, United States of America

Mark Steven Knellinger


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Mark Steven Knellinger: Innovator in Intrusion Detection for IoT

Introduction

Mark Steven Knellinger is a notable inventor based in Franklin, TN (US). He has made significant contributions to the field of technology, particularly in the realm of Internet-of-Things (IoT) security. His innovative work focuses on enhancing the detection of intrusions within IoT operational environments.

Latest Patents

Mark holds a patent for an "Intrusion detection model for an internet-of-things operations environment." This patent describes a trained model that can be deployed in an IoT environment to ingest features and detect events extracted from network traffic. The model is designed to be received and converted into a meta-language representation, which is interpretable by a data plane engine. Once converted, the model can be deployed to the data plane, where it extracts features from network communications. These extracted features are then fed to the deployed model to generate event classifications or device state classifications. Mark has 1 patent to his name.

Career Highlights

Mark is currently employed at Cisco Technology, Inc., where he applies his expertise in developing advanced security solutions. His work at Cisco has positioned him as a key player in the ongoing efforts to secure IoT environments against potential threats.

Collaborations

Throughout his career, Mark has collaborated with talented professionals, including Nancy Cam-Winget and Subharthi Paul. These collaborations have further enriched his work and contributed to the development of innovative solutions in the field.

Conclusion

Mark Steven Knellinger is a distinguished inventor whose work in intrusion detection for IoT environments showcases his commitment to enhancing technology security. His contributions are vital in addressing the challenges posed by the growing interconnectedness of devices.

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