This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Vaisakhi Mishra: Innovator in DNS Data Clustering
Introduction
Vaisakhi Mishra is a notable inventor based in White Plains, NY (US). He has made significant contributions to the field of data processing, particularly in the area of Domain Name System (DNS) data analysis. His innovative approach has led to the development of a unique patent that addresses the challenges of identifying malicious domains.
Latest Patents
Vaisakhi Mishra holds a patent titled "Volumetric clustering on large-scale DNS data." This patent outlines a method where a processor receives sets of normal, suspicious, and malicious domains. The processor labels the normal domains as normal and the others as malicious. It then samples a percentage of the normal domains, aggregates them with the malicious domains, and filters the aggregated domains using various criteria. Finally, it determines clusters for the filtered domains using a trained K-shape model. This innovative approach enhances the ability to manage and analyze large-scale DNS data effectively.
Career Highlights
Vaisakhi Mishra is currently employed at International Business Machines Corporation (IBM). His work at IBM focuses on advancing technologies that improve data security and processing efficiency. His expertise in DNS data analysis has positioned him as a valuable asset in the tech industry.
Collaborations
Vaisakhi has collaborated with several talented individuals, including Pengxiang Xu and Annamaria Balazs. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge solutions.
Conclusion
Vaisakhi Mishra's contributions to the field of DNS data clustering exemplify the impact of innovative thinking in technology. His patent and work at IBM highlight his commitment to enhancing data security and processing capabilities.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
