Big data analytics for security and privacy challenges

The Term Big Data Analytics for Security intelligence refers to a process of analyzing and mining large amounts of data (petabytes, exabytes, zettabytes) from different sources including IP address, Emails, log files, information get from other attack investigation and many more. Many of the organization use big data analytics for security intelligence to indentified anomalies, threat, verify alerts and security events to neutralize cyber attack. The scope of big data security is limited not only to the current data set but also historical data to identified threats, anomalies, fraud so that network can be safe from targeted attacks. Many institutions are taking steps to focus the growing problems of advanced persistent threats, attacks and fraud. The bigger the better! As more data is collected and retained, the more easily analytics will be able to determine. However companies that use big data analytics must ensure the related privacy and security related issue before implementing analytics into use.