Research Article
Modelling the Spread of Botnet Malware in IoT-Based Wireless Sensor Networks
Table 2
Inputs for the Monte Carlo simulation.
| Parameter | Input | Explanation |
| Message size | Normal dist. sample, mean=50B, sd=5B | Mirai scans less than 250B/sec [2]. Scales with contact rate. |
| Max power | 864000mAs | Typical sensor battery capacity of 240mAh [12]. Converted into mAs. |
| Power used | | To send 1B 1m. Estimated from 30mA peak for node [12]. |
| Contact rates | | IoT-based worms should be relatively slower than standard worms. |
| Recovery rate | | Estimated by us based on degree of security engagement. |
| WSN count | | Range of sensor networks available. |
| Trans. range | | Typical range is 10m, we also test larger theoretic range of 100m. |
| Deployment area | | Small and large deployment regions. Will change with application. |
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