Tarun Dewan

Title: Innovations of Tarun Dewan in Machine Learning

Introduction

Tarun Dewan 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, Dewan's work showcases the intersection of technology and cybersecurity.

Latest Patents

Dewan'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 involves utilizing a trained machine learning model to inspect static properties of files in the production traffic and classifying the traffic as either malicious or benign based on the trained model. 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 includes obtaining training data with samples of both benign and malicious executable files, extracting features from this data, and using these features to train a machine learning model for detection purposes.

Career Highlights

Tarun Dewan is currently employed at Zscaler, Inc., where he continues to innovate in the field of cybersecurity. His work is pivotal in enhancing the security measures against malicious software, thereby contributing to safer digital environments.

Collaborations

Dewan collaborates with talented individuals such as Changsha Ma and Nirmal Singh, who contribute to his projects and innovations.

Conclusion

Tarun Dewan's contributions to machine learning and cybersecurity are noteworthy, as he continues to develop innovative solutions to combat malicious threats. His patents reflect a commitment to enhancing digital security through advanced technology.