Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey

Table 2

Feature set for each instance in KDDCup 99 dataset.

No.	Features	Types
1	Duration	Continuous
2	protocol_type	Symbolic
3	Service	Symbolic
4	Flag	Symbolic
5	src_bytes	Continuous
6	dst_bytes	Continuous
7	Land	Symbolic
8	wrong_fragment	Continuous
9	Urgent	Continuous
10	Hot	Continuous
11	num_failed_logins	Continuous
12	logged_in	Symbolic
13	num_compromised	Continuous
14	root_shell	Continuous
15	su_attempted	Continuous
16	num_root	Continuous
17	num_file_creations	Continuous
18	num_shells	Continuous
19	num_access_files	Continuous
20	num_outbound_cmds	Continuous
21	is_hosts_login	Symbolic
22	is_guest_login	Symbolic
23	Count	Continuous
24	srv_count	Continuous
25	serror_rate	Continuous
26	srv_serror_rate	Continuous
27	rerror_rate	Continuous
28	srv_rerror_rate	Continuous
29	same_srv_rate	Continuous
30	diff_srv_rate	Continuous
31	drv_diff_host_rate	Continuous
32	dst_host_count	Continuous
33	dst_host_srv_count	Continuous
34	dst_host_same_srv_count	Continuous
35	dst_host_diff_srv_rate	Continuous
36	dst_host_same_src_port_count	Continuous
37	dst_host_srv_diff_host_rate	Continuous
38	dst_host_serror_rate	Continuous
39	dst_host_srv_serror_rate	Continuous
40	dst_host_serror_rate	Continuous
41	dst_host_srv_rerror_rate	Continuous