Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches

Table 2

Existing methods with their limitations.

Conventional methods	Distinctive characteristics	Limitations
Hind Bangui et al. [16]	Hybrid data-driven model	Detected known attacks only
Alsarhan et al. [17]	Features optimizations	Consumed high detection time for attacks
Rasika et al. [18]	Non-linear testing	Complex detection algorithm
AbdulazizAlshammari et al. [19]	Robust algorithm	Detected known attacks only
Zeng et al. [20]	Required minimum hardware resources	Complex detection algorithm
Erfan A Shams et al. [21]	Hybrid model	Low sensitivity rate