Alok Tongaonkar

Title: Alok Tongaonkar: Innovator in Network Application Identification

Introduction

Alok Tongaonkar is a prominent inventor based in San Jose, CA, known for his significant contributions to the field of network application identification. With a total of 13 patents to his name, he has developed innovative methods that enhance the understanding and classification of network traffic.

Latest Patents

One of his latest patents is titled "Mobile application identification in network traffic via a search engine approach." This method involves analyzing metadata and source code of a network application to extract a set of application tokens. It generates an index document based on these tokens, which is included in a library of index documents corresponding to various network applications. The process includes extracting packet header tokens from network packets, comparing them to the index documents, and determining the originating application based on match scores.

Another notable patent is "Systems and methods for automated classification of application network activity." This computer-implemented method builds a lexicon dictionary of lexical keywords associated with different activity types. It identifies network streams representing communications between applications and servers, extracts keywords from header fields, and classifies the network stream based on the activity types linked to the extracted keywords.

Career Highlights

Throughout his career, Alok has worked with notable companies such as Narus, Inc. and Symantec Corporation. His work has significantly impacted the way network applications are identified and classified, showcasing his expertise in the field.

Collaborations

Alok has collaborated with talented individuals, including Antonio Nucci and Ram Keralapura, contributing to various projects that advance network application technology.

Conclusion

Alok Tongaonkar's innovative work in network application identification has led to the development of advanced methods and systems that improve network traffic analysis. His contributions continue to influence the field and pave the way for future advancements.