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Table 3 List of features exist in TON_IoT Train_Test Network Dataset

From: Performance analysis of machine learning models for intrusion detection system using Gini Impurity-based Weighted Random Forest (GIWRF) feature selection technique

Feature number Feature Format
1 dns_AA Boolean
2 dns_RD Boolean
3 dns_RA Boolean
4 dns_rejected Boolean
5 ssl_resumed Boolean
6 ssl_established Boolean
7 weird_notice Boolean
8 src_port Number
9 dst_port Number
10 duration Number
11 src_bytes Number
12 dst_bytes Number
13 missed_bytes Number
14 src_pkts Number
15 src_ip_bytes Number
16 dst_pkts Number
17 dst_ip_bytes Number
18 dns_qclass Number
19 dns_qtype Number
20 dns_rcode Number
21 http_trans_depth Number
22 http_request_body_len Number
23 http_status_code Number
24 http_response_body_len Number
25 http_user_agent Number
26 label Number
27 src_ip String
28 dst_ip String
29 proto String
30 service String
31 conn_state String
32 dns_query String
33 ssl_version String
34 ssl_cipher String
35 ssl_subject String
36 ssl_issuer String
37 http_method String
38 http_uri String
39 http_referrer String
40 http_version String
41 http_orig_mime_types String
42 http_resp_mime_types String
43 weird_name String
44 weird_addl String
45 type String
46 ts Time