Big data for security
Pratyusa K. Manadhata · 2012
This is the age of big data. Enterprises collect large amounts of data about their operations and analyze the data to improve all aspects of their businesses. Big data for security, i.e., the analysis of very large enterprise data sets to identify actionable security information and hence to improve enterprise security, however, is a relatively unexplored area. Enterprises routinely collect terabytes of security relevant data, e.g., network logs and application logs, for several reasons such as availability of cheap storage and need for regulatory compliance and post hoc forensic analysis. But we face a situation where more is less; the more data we collect, the less is our ability to derive actionable information from the data.