Network anomaly detection for railway critical infrastructure based on autoregressive fractional integrated moving average

EURASIP Journal on Wireless Communications and Networking

Table 1 WSN traffic features captured from railroad crossings through the WSN IP gateway

Feature	WSN traffic feature description
F1	Battery supply voltage
F2	MEMS sensor position x
F3	MEMS sensor position y
F4	MEMS sensor position z
F5	RSSI of WSN sensor [dBm]
F6	The number of WSN packets per time period
F7	The number of WSN packets per time period during idle state of mems x, y, z position