Research Article
Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches
Table 8
Comparative analysis of proposed IDS VANET systems on CIC-IDS 2017 dataset.
| | Methods | Attack Detection Rate (ADR) in % | | DoS attack | Botnet attack | PortScan attack | Brute Force attack |
| | Proposed KIDS-UIDS method | 98.5 | 98.9 | 99.7 | 93.9 | | Hind Bangui et al. [16] | 97.9 | 97.8 | 97.2 | 93.2 | | Naqvi et al. [34] | 98.1 | 97.9 | 97.3 | 92.8 | | Jabar Mahmood et al. [35] | 97.1 | 97.5 | 96.8 | 91.4 | | Faisal et al. [32] | 96.9 | 98.1 | 97.9 | 90.3 | | Mahmood et al. [38] | 96.7 | 95.9 | 96.1 | 92.7 | | Nayyar et al. [33] | 97.1 | 96.8 | 97.3 | 96.9 | | Erfan et al. [21] | 96.5 | 96.9 | 97.2 | 90.7 | | MuderAlmi’ani et al. [22] | 96.9 | 97.1 | 98.6 | 89.7 | | LaisenNie et al. [23] | 96.3 | 97.3 | 97.7 | 90.9 |
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