Machine Learning-Based Jamming Detection for Safety Applications in Vehicular Networks: Individual Detection?

Table 2

Datasets on jamming attacks in vehicular networks.

Datasets	Data type	Application	Mode	Jamming model	Number of features	Size	Scenario
UCI [13]	Synthetic	Safety	V2R	Reactive	6, physical	10000	Varying in vehicle density
VANET2014 [10]	Real	Safety	V2V	Reactive, constant	19, physical	24000	1 transmitter and 1 receiver
Our dataset	Synthetic	Safety	V2V	Reactive	6, medium access	30000	Varying in mobility