Big Data Working Group formed aims to solve real world problems
The Cloud Security Alliance and Fujitsu Laboratories have formed the Big Data Working Group to develop test data sets from different industry verticals such as e-commerce and healthcare.
Chaired by Sreeranga Rajan of Fujitsu Laboratories of America with co-chairs Neel Sundaresan of eBay and Wilco Van Ginkel of Verizon, the Cloud Security Alliance Big Data Working Group will work to address the security and privacy issues magnified today by the velocity, volume, and variety of big data, such as large-scale cloud infrastructures, diversity of data sources and formats, streaming nature of data acquisition and high volume inter-cloud migration.
The group’s first research report, due out in the Autumn, will identify the new and fundamentally different technical and organisational problems when addressing big data security and privacy.
The group will look to crystallise the best practices for security and privacy in big data, help industry and governments with 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.
To address the large number of issues tied to big data security and privacy, the group will look to provide research and guides on six specific themes:
· Big data-Scale Crypto
· Cloud Infrastructure
· Data Analytics for Security
· Framework and Taxonomy
· Policy and Governance
“Everyday 2.5 quintillion bytes of data are being created resulting in a myriad number of data security and cloud-computing security concerns,” said Sreeranga Rajan, director of Software Systems Innovation at Fujitsu Laboratories of America.
“By collaborating as a global community of thought leaders and researchers, we are not only looking to help the industry overcome these challenges but also to leverage new opportunities for the monitoring and detection of security threats enabled by big data.”
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