Multi-Criteria Clustering For Big-Data using MR-Triage

In present world that mining large amounts of security data can help generate actionable intelligence and make the understanding of Internet attacks better. To deal with internet attacks what we really need is cyber situational and attack attribution. Cyber situational awareness is attracting much attention. Practical clustering algorithms require multiple data scans so we need a scalable multi criteria clustering. Big Data is a new term which identify the datasets which cannot be managed due to their large size with typical software tools. Data mining is a process to find the data from the large databases for analysis . This security data mining process involves a considerable amount of features interacting in a non-obvious way, which makes it inherently complex. To deal with this challenge, we introduce MR-TRIAGE. The MR-TRIAGE workflow is made of a scalable data integration. The results will demonstrate that we can efficiently handle large datasets with our algorithm.