\CIC-DDoS2019 Non-Scaled Balanced 8 Attack Subset\

The CIC-DDoS2019 dataset was initially released by the Canadian Institute for Cybersecurity. On the testing day, seven DDoS attacks were executed, while twelve occurred on the training day to compile this dataset. The uploaded data titled \CIC-DDoS2019 Non-Scaled Balanced 8 Attack Subset\ is prepared by applying a series of modification steps on the training day traffic of CIC-DDoS2019 dataset.  These steps encompass:Data integration- Data is integrated from 12 CSV files which are generated by the network traffic of training day.Preprocessing:Removal of spaces in column names.Removal of 10 non-informative columns: 'Unnamed:0', \FlowID\, \SourceIP\, \DestinationIP\, 'FwdAvgBytes\/Bulk', 'FINFlagCount', 'FwdAvgBulkRate', 'PSHFlagCount', 'Timestamp', 'SimillarHTTP'.Removal of rows with infinite valuesRemoval of  duplicate rowsSelection of a subset of data comprising  benign traffic along with eight specific attacks: NTP, DNS, LDAP, MSSQL, NetBIOS, SNMP, SSDP, UDP, UDP-Lag, WebDDoS, SYN, and TFTP.Drop the highly correlated 30 features from the Dataset. Number of features after dropping highly correlated ones are 47.Dataset with 47 features are down sampled with random under sampling to produce the final balanced dataset.