ML Based Rank Attack Detection for Smart Hospital Infrastructure
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Fig. 6. Simulation topology (Color figure online)
Fig. 6. We inject malicious motes (purple colour) in a random position. Table 1
summarizes the used simulation parameters.
We run four simulation scenarios for 1 h (Fig. 6):
• scenario 1: IoT network without malicious motes.
• scenario 2: IoT network with 1 randomly placed malicious mote.
• scenario 3: IoT network with 2 randomly placed malicious motes.
• scenario 4: IoT network with 4 randomly placed malicious motes.
Table 1. Simulation parameters
Parameter
Value
Platform
Cooja Contiki 3.0
Number of nodes
10 senders, 1 sink
Topology
Star
Area
200 m
Sending rate
1 packet/minute
Simulation run time 1 h
Number of attackers 1, 2 and then 4
5.2 Evaluation Parameter
To evaluate the accuracy of the proposed IDS, we rely on the energy consumption
parameter. We collect power tracking data per mote in terms of radio ON energy,