Seoul, South Korea

Jae Young Cheong

This inventor holds 1 USPTO granted patent. Top assignees: Dunamu Inc., Lambda256. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jae Young Cheong. Retrieved from https://idiyas.com/inventor/jae-young-cheong

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 = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jae Young Cheong and Blockchain Transaction Detection.

Introduction

Jae Young Cheong is an inventor based in Seoul, South Korea. His work includes a patented approach to identifying potentially abnormal cryptocurrency transactions in blockchain networks. He has 1 patent.

Latest Patents

Cheong’s patent, “Deep learning based method and system for detecting abnormal cryptocurrency transaction between computing devices in a blockchain network,” describes a system that analyzes transactions involving a user’s wallet address and other wallet addresses. A server generates three data sets from the transaction information, and a pre-trained deep-learning module extracts a feature vector from each data set. The system converts those vectors into an intermediate value and compares it with a predetermined reference value to assess whether a fraudulent transaction may have occurred.

Career Highlights

Cheong has been associated with Dunamu Inc. and Lambda256. His patent reflects an application of deep learning to blockchain transaction monitoring and the detection of potentially fraudulent activity.

Collaborations

His professional associations with Dunamu Inc. and Lambda256 connect his work to companies operating in the digital-asset and blockchain technology fields.

Conclusion

Jae Young Cheong’s patent applies deep learning to the challenge of detecting abnormal cryptocurrency transactions, highlighting an innovation at the intersection of blockchain security and data analysis.

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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