Philadelphia, PA, United States of America

Raymond Joseph Canzanese, Jr

This inventor holds 13 USPTO granted patents and 3 published patent applications, primarily in Cybersecurity Analytics. Top assignees: Netskope, Inc., Drexel University. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Raymond Joseph Canzanese, Jr. Retrieved from https://idiyas.com/inventor/raymond-joseph-canzanese-jr

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 13 

% Patents Active = 100.0

Average Co-Inventor Count = 3.5

ph-index = 3

Forward Citations = 45(Granted Patents)


Company Filing History:


Years Active: 2017-2026

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Areas of Expertise:
Security Events Graph
Malicious Traffic Detection
Encrypted Data Classification
Command and Control Traffic
Change-Point Malware Detection
Alert Prioritization
Machine Learning
Data Movement
13 patents (USPTO):Explore Patents

Title: Innovations of Raymond Joseph Canzanese, Jr.

Introduction

Raymond Joseph Canzanese, Jr. is a notable inventor based in Philadelphia, PA. He has made significant contributions to the field of technology, particularly in security and data analysis. With a total of nine patents to his name, Canzanese has developed innovative solutions that address critical challenges in computer network security.

Latest Patents

One of his latest patents is titled "Security events graph for alert prioritization." This technology includes a system designed to group security alerts generated in a computer network and prioritize these alerts for analysis through graph-based clustering. The graph utilized for forming clusters represents entities in the computer network as scored nodes, with relationships between entities depicted as weighted edges. The system traverses the graph starting from initial nodes, propagating native scores through neighboring nodes connected by the weighted edges. The propagated scores at visited nodes are normalized by attenuation based on contributing neighboring nodes. An aggregate score for each visited node is calculated by accumulating the propagated scores along with their respective native scores. This technology effectively forms clusters of connected nodes that exceed a selected aggregate score threshold, allowing for ranked and prioritized analysis.

Another significant patent is "ML-based encrypted file classification for identifying encrypted data movement." This technology facilitates User and Entity Behavior Analytics (UEBA) by classifying files being transferred as encrypted or not. It involves monitoring file movement by users over a wide area network and detecting file encryption using a trained classifier. The detection process includes various tests, such as a chi-square randomness test and a Shannon entropy test. The system counts the number of encrypted files moved by a user within a predetermined period and generates alerts if the user exceeds a predetermined maximum number of encrypted files.

Career Highlights

Canzanese has worked with prominent organizations, including Netskope, Inc. and Drexel University. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking projects in the field of cybersecurity.

Collaborations

Throughout his career, Canzanese has collaborated with talented individuals such as Siying Yang and Dagmawi Mulugeta. These collaborations have further enhanced his innovative capabilities and led to the development of impactful technologies.

Conclusion

Raymond Joseph Canzanese, Jr. is a distinguished inventor whose work in security technology has made a significant impact. His patents reflect a commitment to advancing the field and addressing the complexities of modern

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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