Company Filing History:
Years Active: 2023-2024
Title: Innovations of Naveen Selvan in Machine Learning
Introduction
Naveen Selvan is an accomplished inventor based in Mohali, India. He has made significant contributions to the field of machine learning, particularly in the detection of malicious executable files. With a total of two patents to his name, Naveen is recognized for his innovative approaches to cybersecurity.
Latest Patents
Naveen's latest patents focus on utilizing machine learning to efficiently and effectively detect malicious executable files. The first patent describes systems and methods that include performing inline monitoring of production traffic between users, the Internet, and cloud services via a cloud-based system. This system utilizes a trained machine learning model to inspect static properties of files in the production traffic and classifies the traffic as either malicious or benign based on the model's findings. The second patent outlines a method for determining a plurality of features associated with executable files, based on static properties in a predefined structure. This involves obtaining training data that includes samples of both benign and malicious executable files, extracting features from this data, and utilizing these features to train a machine learning model for detection purposes.
Career Highlights
Naveen currently works at Zscaler, Inc., where he continues to develop innovative solutions in cybersecurity. His work has been instrumental in enhancing the security measures employed by organizations to protect against malicious threats.
Collaborations
Some of Naveen's notable coworkers include Changsha Ma and Nirmal Singh, who contribute to the collaborative environment at Zscaler, Inc. Their combined expertise fosters innovation and drives advancements in the field.
Conclusion
Naveen Selvan's contributions to machine learning and cybersecurity are noteworthy, as he continues to push the boundaries of technology with his innovative patents. His work not only enhances security measures but also sets a precedent for future developments in the field.