Hopefully, this will help security professionals move beyond the hype and start to understand how big data security analytics can deliver real value.

In this article, authors discuss the role of big data and Hadoop in security analytics space and how to use MapReduce to process data for security analysis.

Big Data and Big Data analytics have become hot topics in recent years. Unlike traditional methods of cause and effect deduction, Big Data analytics generate predictions based on such enormous ...

Asymmetric big data security solutions will be anchored by machine learning algorithms, cluster analysis, and advanced visualization.

Big data is big news, but have you considered big data security? Big data is built on analysis of data that is usually correlated from multiple sources.

IBM joins RSA in merging log management and network analysis with the Hadoop software framework for deep data analysis. But some experts see challenges ahead.

The Cloud Security Alliance (CSA) Big Data Working Group wants to ensure your business data security and privacy doesn't suck, so it just released a handbook to help.

Given the pace at which big data software is released, coupled with the sheer volume of data under management, the big data market is ripe for massive security breaches. It’s only a matter of time.

The first challenges for big data were managing volume and assuring constant access. Now protecting data from intrusion and corruption, and maintaining secure access, are top priorities for tech ...

Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, NUPT did not contribute to any primary research papers from Nature Index journals in the current 12 month window.