Table 4 Description of the subset data from the CIC IoT 2023 dataset used in this study.
From: Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models
Attack type (Encode number) | Categories of attack | Number of traffics | Total per attack |
|---|---|---|---|
Benign (0) | Benign | 362,361 | 362,361 |
DDoS (2) | TCP flood | 265,776 | 827,195 |
HTTP flood | 28,790 | ||
SYN flood | 266,024 | ||
UDP flood | 266,605 | ||
Brute Force (1) | Dictionary Brute Force | 13,064 | 13,064 |
DoS (3) | TCP flood | 260,129 | 730,344 |
HTTP flood | 40,686 | ||
SYN flood | 262,691 | ||
UDP flood | 166,838 | ||
Web-based (7) | Sql injection | 5,409 | 10,654 |
Command injection | 5,245 | ||
Spoofing (6) | DNS spoofing | 178,898 | 426,60 |
ARP spoofing | 247,706 | ||
Recon (5) | OS scan | 98,259 | 553,894 |
Vulnerability scan | 373,351 | ||
Port scan | 82,284 | ||
Mirai (4) | GREIP flood | 35,073 | 105,151 |
Greeth flood | 33,597 | ||
UDPPlain | 36,481 | ||
Total | 3,029,267 | 3,029,267 |
