Company Filing History:
Years Active: 2020-2025
Title: Innovations of George D Kellerman
Introduction
George D Kellerman is an accomplished inventor based in Louisville, KY (US). He holds a total of four patents, showcasing his expertise in the field of network behavior analysis. His innovative work has contributed significantly to the understanding and identification of anomalous network behaviors.
Latest Patents
One of his latest patents focuses on the statistical analysis of network behavior using event vectors to identify behavioral anomalies through a composite score. This patent describes systems and methods for identifying anomalous network behavior. In this approach, network events are observed by network sensors. Characteristics are extracted from these events to construct an evidence vector. This vector is then compared to a mapping of previously identified events and event characteristics. The mapping is represented as clusters of expected and anomalous behaviors. Analytic models are used for direction and magnitude detection, identifying centroids for each cluster. A 'best fit' is determined and scored for each analytic model. The scores are fused into a single binocular score to assess whether the evidence vector likely represents an anomaly.
Career Highlights
Throughout his career, George has worked with notable companies such as Webroot Inc. and Open Text Corporation. His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in network security and analysis.
Collaborations
George has collaborated with several professionals in his field, including William Alfred Wright and William Wright. These collaborations have further enriched his work and expanded the impact of his inventions.
Conclusion
George D Kellerman's contributions to the field of network behavior analysis through his patents and career achievements highlight his role as a significant innovator. His work continues to influence the way anomalous behaviors are identified and managed in network systems.