Poorna Udupi Researcher
Sun Microsystems Laboratories
16 Network Circle umpk16-160 Menlo Park, CA 94025
Poornaprajna Udupi is a researcher for Sun Microsystems Laboratories, working on
Project Sensor.Network - a robust back end for hosting sensor data from various kinds of devices and providing M2M API for visualizing the sensor data to extract meaningful information. Udupi's work is available at http://sensor.network.com and has been opened up for select Sun partners.
In the recent past his research was focused on developing anti-phishing protocols for Web Security. He demonstrated some phishing techniques by using Mozilla browser, Squid web proxy cache, GNU Wget, Apache web server and OpenSSL. He is a co-inventor of a new class of anti-phishing protocols called "Multi-Factor Password Authenticated Key Exchange (MFPAK)" (http://eprint.iacr.org/2008/214). He also demonstrated the effectiveness of MFPAK by prototyping one of the candidates using OpenSSH, S/KEY and OpenSSL
His research interests also include Secure Electronic Payments, Operating systems kernel software, Mobile Code, Mobile Computing, Wireless Sensor Networks.
Udupi is working towards the Stanford University Advanced Computer Security Professional certification. Udupi received his Masters in Computer Science (2003) from University of California at San Diego and his Bachelor of Computer Engineering (2000) from National Institute of Technology (NIT), Surat, India.
Current Projects
Udupi is working on developing a flexible data collection framework, called Yggdrasil, that takes into account the special characteristics and constraints of wireless sensor networks, e.g. power conservation. It targets applications like environmental monitoring, asset tracking, data center monitoring, security surveillance etc. The framework makes it easy for scientists and other domain experts, that do not necessarily have a strong computer programming background, to create applications that collect sensor data over long periods (months). The framework is being developed in close cooperation with several potential users including the United States Geological Survey (USGS), the Warren Wilson College, the CREA (Conservation Research Education Action ) organization, Vodafone in Europe as well as some of our Sun Microsystems' datacenter management teams.
This "Internet of Things" can generate an enormous volume of very small bits of data: temperature, GPS position, speed, rate of acceleration, compression, humidity, shock, altitude, and so on. Every day we are generating more data faster than ever before. This data can be used to tackle all kinds of issues—from global ones like climate change to local ones like improving traffic flow during rush hour. With current state of the art, however, it can be very difficult to access data that scientists do not generate from their own study. In many cases, original data from related studies is hard or impossible to find and only papers with interpretations of the raw data are available. It is difficult to return to the source and draw new conclusions.
Sensor.Network (http://sensor.network.com) is a global exchange for sensor data. It allows researchers and scientists to share data with authorized partners. The service also provides tools for analyzing and visualizing the data and translating it into actionable information.
