On Internet Traffic Classification: A Two-Phased Machine Learning Approach
Table 4
NetFlow feature sets for C5.0 classifier training.
Set 1
Set 2
Protocol and port information (i) Source and destination port numā (ii) Protocol (TCP, UDP)
Protocol and port information (i) Source and destination port labelsā (ii) Protocol (TCP, UDP)
Set 3
Set 4
Flow parameters (i) Received and transmitted packets (Rx.Pkts., Tx.Pkts.) (ii) Received and transmitted packet rate (Rx.pps., Tx.pps.) (iii) Received and transmitted data rate (Rx.bps., Tx.bps.) (iv) Received and transmitted bytes per packet (Tx.Bpp., Rx.Bpp.) (v) Received and transmitted data (Rx.B., Tx.B.) (vi) Received and transmitted flow duration (Tx.s., Rx.s.)
Flow parameter ratios (i) Received packets to transmitted packets (Rx.Pkts./Tx.Pkts.) (ii) Received to transmitted packet rate (Rx.pps./Tx.pps.) (iii) Received to transmitted data rate (Rx.bps./Tx.bps.) (iv) Received to transmitted bytes per packet (Rx.Bpp./Tx.Bpp.) (v) Received to transmitted data (Rx.B./Tx.B.) (vi) Received to transmitted flow duration (Rx.s./Tx.s.)