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. 2022 May 20;2022:1668676. doi: 10.1155/2022/1668676

Table 3.

Specification of TON_IoT datasets [13].

Datasets Features No. ofinstances Input features Output feature = “type” (classes)
TON_IoT (IoT_Fridge) 6 587077 “Date”, “time”, “fridge_temperature”, “temp_condition”, “label” “Normal”, “backdoor”, “ddos”, “injection”, “password”, “ransomware”, “xss”
TON_IoT (IoT_Garage_Door) 6 591447 “Date”, “time”, “door_state”, “sphone_signal”, “label” “Normal”, “backdoor”, “ddos”, “password”, “injection”, “scanning”, “ransomware”, “xss”
TON_IoT (IoT_GPS_Tracker) 6 595687 “Date”, “time”, “latitude”, “longitude”, “label” “Normal”, “backdoor”, “ddos”, “injection”, “password”, “ransomware”, “scanning”, “xss”
TON_IoT (IoT_Motion_Light) 6 452263 “Date”, “time”, “motion_status”, “light_status”, “label” “Backdoor”, “ddos”, “injection”, “normal”, “password”, “ransomware”, “scanning”, “xss”
TON_IoT (IoT_Thermostat) 6 442229 “Date”, “time”, “current_temperature”, “thermostat_status”, “label” “Backdoor”, “injection”, “normal”, “password”, “ransomware”, “scanning”, “xss”
TON_IoT (IoT_Weather) 7 650243 “Date”, “time”, “temperature”, “pressure”, “humidity”, “label” “Normal”, “backdoor”, “ddos”, “injection”, “password”, “ransomware”, “scanning”, “xss”