For The Love of Big Data, Threat Schema and Directed Graphs in Cybersecurity
The Rise of Machines and Data in Cybersecurity
The V’s of Big Data
While Big Data is often a difficult term to define, in this article, we will define it as data which is gathered from multiple sources and which is likely to be made up from a wide range of data formats, including for system alerts, unstructured and semi-structured data, and on the data related of cyber events. We commonly define that a key factor in Big Data to be able to cope with the Volume, Veracity, Velocity, and Variety, and thus provide Value (Figure 1). One of the great advantages of creating a SIEM infrastructure, is that the logs gathered can be used for a range of business-focused reports (such as for management reports for traffic flows and downtime), sales analysis (such as from taking the log data gathered from a Web site), targeted marketing (such as understanding the demographics of those using a Web site); trending/correlation (understanding the peak times for sales); and incident response reporting.
