Compressing Large Amounts of NetFlow Data Using a Pattern Classification Scheme

The storage of large amounts of network data is a challenging problem, in particular if it still needs to be actively consulted as for example in the case of network forensics. Here we propose a method to compress NetFlow data while simultaneously adding domain knowledge. Our method is based on a pattern classification scheme by considering all flows from a… CONTINUE READING