Company Filing History:
Years Active: 2021
Title: Oystein Fladby: Innovator in Malware Classification
Introduction
Oystein Fladby is a notable inventor based in Klofta, Norway. He has made significant contributions to the field of cybersecurity, particularly in malware classification. His innovative approach has led to the development of a patented method that enhances the detection and classification of malware programs.
Latest Patents
Oystein Fladby holds a patent for "Systems and methods for malware classification." This computer-implemented method involves receiving dynamic analysis traces that include event descriptions regarding malware programs and labels regarding classes of malware programs. The process includes performing a first mapping of the event descriptions to a first set of vector representations, where the order of the events is not considered. A second mapping is then performed, taking the order of events into account. The two sets of vector representations are combined and input into an autoencoder, which is trained to generate a feature space representation that correlates identified features with classes of malware. This innovative method provides a robust framework for improving malware detection.
Career Highlights
Oystein Fladby is currently associated with NortonLifeLock Inc., a company renowned for its cybersecurity solutions. His work at NortonLifeLock has allowed him to apply his expertise in developing advanced methods for malware classification. His contributions have been instrumental in enhancing the company's offerings in the cybersecurity domain.
Collaborations
Oystein has collaborated with notable professionals in the field, including Leyla Bilge and Yufei Han. These collaborations have fostered a productive environment for innovation and have contributed to the advancement of cybersecurity technologies.
Conclusion
Oystein Fladby is a distinguished inventor whose work in malware classification has made a significant impact in the field of cybersecurity. His patented methods represent a crucial advancement in the detection and classification of malware, showcasing his commitment to innovation and excellence.