Big Data Working Group

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Introduction to the Big Data Working Group

The Big Data Working Group (BDWG) will be identifying scalable techniques for data-centric security and privacy problems. BDWG’s investigation is expected to lead to crystallization of best practices for security and privacy in big data, help industry and government on adoption of best practices, establish liaisons with other organizations in order to coordinate the development of big data security and privacy standards, and accelerate the adoption of novel research aimed to address security and privacy issues. The WG will also put together research proposals for joint funding by government and industry initiatives.

Listen to Dr. Arnab Roy on Federal News Radio 1500AM

Dr. Arnab Roy

Dr. Arnab Roy is a Member of Research Staff at the Fujitsu Laboratories of America since 2012. From 2010-11, he was a post-doctoral researcher at the IBM Thomas J. Watson Research Center. Arnab obtained his PhD in Computer Science from Stanford University in 2009, where he was a Siebel Scholar, Class of 2006. He finished his undergraduate studies from Indian Institute of Technology Kharagpur in 2004, where he was awarded the Prime Minister of India Gold Medal for academic excellence.

Big Data Working Group Leadership

Big Data Co-chairs

Sreeranga Rajan

Sreeranga Rajan

Dr. Sreeranga Rajan is currently a Fellow at Fujitsu Laboratories of America (FLA), Sunnyvale, CA. Globally, Fujitsu Laboratories has a rich 50 year history of cutting edge innovation and research. Dr. Rajan joined FLA from SRI International Computer Science Laboratory in 1996 and was recently the Director of the Software Systems Innovation Group at FLA. Dr. Rajan has co-authored many patents and refereed publications in top-tier conferences and journals in the areas of program analysis, symbolic execution, and security. Dr. Rajan has served on conference program committees, chaired standards committees, and served as the founding editor-in-chief of ACM Transactions on Storage from 2004 to 2010. Dr. Rajan is the founding chair of the Cloud Security Alliance’s big data research group. Dr. Rajan is the co-recipient of President’s award at Fujitsu. Also, his work on symbolic execution was recognized by NASA as one of top 50 technologies in 2010. He was recognized by ACM as one of the 49 Distinguished Members and one of 2 Distinguished Engineers for 2014. Dr. Rajan was honored as an IEEE Fellow in January 2016.

Founding chair of the Big Data Working Group and lead and co-author of many publications, white papers, and peer reviews.

Neel Sundaresan


Big Data Working Group Initiatives

Please contact Big Data Working Group Leadership for more information.

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Big Data Working Group Downloads

Big Data Security and Privacy Handbook

Release Date: August 26, 2016

Big Data Taxonomy

A research document outlining the six dimensions of big data to help decision makers navigate the myriad choices in compute and storage infrastructures as well as data analytics techniques, and security and privacy frameworks.

Release Date: September 18, 2014

Big Data, Big Concerns, and What the White House Wants to Do about It

Big data tools offer astonishing and powerful opportunities to unlock previously inaccessible insights from new and existing data sets. Large amounts of data are being processed through new techniques and technologies, dissecting the digital footprints individuals leave behind, and revealing a surprising number of personal details.

Release Date: May 29, 2014

Comment on Big Data and the Future of Privacy

Responses to questions on the relationship between big data and public policy, government, technology trends, and policy frameworks.

Release Date: April 09, 2014

Expanded Top Ten Big Data Security and Privacy Challenges

Big Data remains one of the most talked about technology trends in 2013. But lost among all the excitement about the potential of Big Data are the very real security and privacy challenges that threaten to slow this momentum.

Release Date: June 16, 2013

CSA Congress 2012 Big Data Overview

Crystallization of best practices for security and privacy in big data.

Release Date: November 06, 2012