Toronto, Canada

Daniel Silveira

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daniel Silveira. Retrieved from https://idiyas.com/inventor/daniel-silveira-z7048nu1

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Daniel Silveira

Introduction

Daniel Silveira is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of technology, particularly in the area of digital privacy and online activity. His work focuses on enhancing user anonymity through innovative methods.

Latest Patents

Daniel Silveira holds a patent for a method to randomize online activity. This computer-implemented method for digital fingerprint obfuscation involves training a machine learning model to classify web traffic data into one or more personas. The method identifies a particular persona of a user based on real traffic data generated during a current user session. Additionally, it generates synthetic traffic data based on the identified persona, thereby enhancing user privacy.

Career Highlights

Daniel is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in digital security.

Collaborations

One of his notable coworkers is Matthias Seul, with whom he collaborates on various projects aimed at improving online privacy and security.

Conclusion

Daniel Silveira's innovative approach to digital fingerprint obfuscation showcases his commitment to enhancing user privacy in the digital age. His contributions are paving the way for more secure online experiences.

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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