This inventor holds 2 USPTO granted patents. Top assignee: Electronics and Telecommunications Research Institute. Active years: 2012-2014.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2012-2014
Title: Abedelaziz Mohaisen: Innovator in Data Privacy Technologies
Introduction
Abedelaziz Mohaisen is a notable inventor based in Daejeon, South Korea. He has made significant contributions to the field of data privacy through his innovative patents. With a total of 2 patents, Mohaisen is recognized for his work in association rule mining and data transformation methods.
Latest Patents
One of his latest patents is titled "Apparatus and method for privacy protection in association rule mining." This invention provides an apparatus and method designed to enhance privacy protection within data mining technologies. The apparatus includes a fake transaction inserter that generates fake transactions and inserts them into an original data set, creating a virtual data set that maintains privacy.
Another significant patent is "Rotation based transformation method and apparatus for preserving data privacy." This method involves dividing a data set into multiple subsets and applying different rotation matrices to these subsets. The resulting rotated data set is then used for data clustering, effectively mitigating the impact of potential attacks on data privacy.
Career Highlights
Abedelaziz Mohaisen is affiliated with the Electronics and Telecommunications Research Institute, where he continues to develop innovative solutions in data privacy. His work is instrumental in advancing the field and addressing critical challenges related to data security.
Collaborations
Mohaisen collaborates with esteemed colleagues, including Nam-Su Jho and Do-Won Hong. Their combined expertise contributes to the success of their projects and the advancement of technology in their field.
Conclusion
Abedelaziz Mohaisen is a prominent figure in the realm of data privacy, with innovative patents that address significant challenges in the industry. His contributions are vital for the ongoing development of secure data mining technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
