‘Big data’ refers to the massive amounts of digital information companies and governments collect about human beings and our environment. Experts anticipate that the amount of data generated will double every two years, from 2500 exabytes in 2012 to 40,000 exabytes in 2020. Security and privacy issues are magnified by the volume, variety, and velocity of big data. As big data expands through streaming cloud technology, traditional security mechanisms tailored to secure small-scale, static data on firewalled and semi-isolated networks offer inadequate protection.
Recently our Big Data Working Group led by Sreeranga Rajan and Daisuke Mashim released the “Big Data Security and Privacy Handbook: 100 Best Practices in Big Data Security and Privacy,” outlining the 100 best practices that should be followed by any big data service provider to fortify their infrastructure. The handbook presents 10 compelling solutions for each of the top 10 challenges in big data security and privacy, which the working group previously identified in the 2012 CSA document titled “Top Ten Big Data Security and Privacy Challenges.”
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