Research Article
Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches
Table 9
Comparative analysis of proposed IDS VANET systems on i-VANET 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] | 93.2 | 95.1 | 96.4 | 90.3 | Naqvi et al. [34] | 94.6 | 94.9 | 96.2 | 92.1 | Jabar Mahmood et al. [35] | 94.1 | 94.2 | 97.2 | 90.3 | Faisal et al. [32] | 93.9 | 94.8 | 96.9 | 91.7 | Mahmood et al. [38] | 93.2 | 94.2 | 97.4 | 90.3 | Nayyar et al. [33] | 95.2 | 94.1 | 98.2 | 91.5 | Erfan et al. [21] | 94.2 | 95.7 | 97.3 | 91.2 | MuderAlmi’ani et al. [22] | 95.6 | 94.8 | 98.1 | 90.3 | LaisenNie et al. [23] | 94.8 | 94.1 | 97.9 | 91.8 |
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