CAN-FD Intrution Dataset
This dataset is a CAN-FD dataset containing attack messages. This data was extracted from the Genesis G80, and the attack messages were subsequently injected.
How to use
This dataset does not include headers. Therefore, when reading it as a CSV, we recommend specifying column names and types as follows. (p means payload)
import pandas as pd
import numpy as np
col_list = [
'timestamp', 'AID', 'DLC',
'p1', 'p2', 'p3', 'p4', 'p5', 'p6', 'p7', 'p8',
'p9', 'p10', 'p11', 'p12', 'p13', 'p14', 'p15', 'p16',
'p17', 'p18', 'p19', 'p20', 'p21', 'p22', 'p23', 'p24',
'p25', 'p26', 'p27', 'p28', 'p29', 'p30', 'p31', 'p32',
'label'
]
df = pd.read_csv(
'dataset.csv',
names=col_list,
header=None,
dtype={
"timestamp":np.float64, "AID":str, "DLC":int,
'p1':str, 'p2':str, 'p3':str, 'p4':str, 'p5':str,
'p6':str, 'p7':str, 'p8':str, 'p9':str, 'p10':str,
'p11':str, 'p12':str, 'p13':str, 'p14':str, 'p15':str,
'p16':str, 'p17':str, 'p18':str, 'p19':str, 'p20':str,
'p21':str, 'p22':str, 'p23':str, 'p24':str, 'p25':str,
'p26':str, 'p27':str, 'p28':str, 'p29':str, 'p30':str,
'p31':str, 'p32':str,
'label':str
}
)