Research Article

Building an Effective Intrusion Detection System by Using Hybrid Data Optimization Based on Machine Learning Algorithms

Table 3

Feature set of UNSW-NB15.

ClassFeature Name

Basic Featuresstate(1), dur(2), sbytes(3), dbytes(4), sttl(5), dttl(6), sloss(7), dloss(8), service(9), sload(10), dload(11), spkts(12), dpkts(13)

Content Featuresswin(14), dwin(15), stcpb(16), dtcpb(17), smeansz(18), dmeansz(19), trans_depth(20), res_bdy_len (21)

Time Featuressjit(22), djit(23), stime(24), ltime(25), sintpkt(26), dintpkt(27), tcprtt(28), synack(29), ackdat (30)

Additional Generated Featuresis_sm_ips_ports(31), ct_state_ttl(32), ct_flw_http_mthd(33), is_ftp_login(34), ct_ftp_cmd(35), ct_srv_src(36), ct_srv_dst(37), ct_dst_ltm(38), ct_src_ltm(39), ct_src_dport_ltm(40), ct_dst_sport_ltm(41), ct_dst_src_ltm(42)