Multimedia And Security Team (MAST)

Welcome to visit MAST @ UMD!

The Media And Security Team led by Prof. Min Wu was established in Fall 2001 at University of Maryland, College Park.  A number of research and education activities related to multimedia signal processing and information security have been carried out, thanks to the effort by a dedicated group of MASTers.  Among them are many talented graduate and undergraduate students - who are inspiring to work with and fun to have as friends.  We are also grateful for having wonderful collaborators over the years and support from government and industrial sponsors.

Check out our new work, and share our joy for the milestones achieved by our MASTers.

 
Recent Projects

Secure Information Retrieval

Secure Information Retrieval

Information retrieval over the encrypted domain is an emerging technology that aims at secure, efficient, and accurate document retrieval from an encrypted database without the need for decryption. This interdisciplinary research, combining cryptography, information retrieval, and multimedia signal processing, offers a promising direction for a more secure and privacy preserving approach for managing and retrieving sensitive information stored on today’s fast-growing network clouds.


Multimedia Identification using Fingerprints

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YouTube and other web services alike have revolutionized content sharing and online social networking by providing an easy-to-use platform for users to post and share video. At the same time, content owners have raised serious concerns on unauthorized uploads of copyrighted movies and TV shows to these websites, as witnessed by high-profile lawsuits filed against YouTube and Google. In order to deter copyright violation and more importantly, to help keep online communities alive legally, "content fingerprinting" technologies are deployed to compute a short string of bits to capture unique characteristics of each video and use it determine whether an uploaded video belongs to a set of copyrighted content or not. Content fingerprints are also used by such applications as Shazam on iPhone to use recordings of short audio clips to identify the song and provide information about the artist, the album, and where to buy.

Our research focuses on developing a better understing of content fingerprinting systems through theoretical modeling and analysis and answer questions regarding the identification performance, scalability and security. Through our analysis, we have also derived guidelines for improving the performance of commonly used modules in fingerprinting.
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MAST in the News

Wu Receives NSF Grant for Research in Trustworthy Sensing, Communications
Prof. Min Wu will conduct research in "Forensic Hash for Assured Cyber-based Sensing and Communications."  Sept. 13 2010 More »

Wei-Hong Chuang Recognized as Distinguished Teaching Assistant
Distinguished Teaching Assistants awarded certificates by the Center for Teaching Excellence. May 21, 2010 More »

Avinash Varna Named ECE Distinguished Dissertation Fellow
Fellowships recognize Ph.D. students' research excellence in the final stages of their dissertation work. March 22, 2010 More »

MAST Research Showcased on ECE Research Review Day
Research showcases UMD technology advancements in electrical and computer engineering. October 13, 2009 More »

Wu Receives IEEE Early Career Teaching Award
Prof. Min Wu has received the prestigious IEEE Mac Van Valkenburg award for outstanding teaching. September 4, 2009 More »

NSA designates University of Maryland as 'National Center of Academic Excellence'
Prof. Min Wu and colleagues honored for work in information assurance research. May 27, 2009 More »

Avinash Varna Receives Litton Fellowship
Varna wins Litton Industries Fellowship, awarded to a grad student committed to a teaching career in engineering education. May 19, 2009 More »

Wu Elected VP for Finance of IEEE Signal Processing Society
Prof. Min Wu will serve a three-year term for the IEEE SPS. April 30, 2009 More »

Liu and Wu Awarded AFOSR Grant for Media Forensics
ECE faculty win 3-year grant from Air Force Office of Scientific Research. January 30, 2009 More »

 
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