Data Set

The dataset folder contains the pcap files collected from smart home setup to train and evaluate MADEA.

Source Code

The code folder contains the source code.

To Run the Code

• Install packages: pyshark, ecdsa, dns, tldextract

• Inside code folder, create new folders:

  • log
  • traffic
  • traffic/training
  • traffic/monitoring

• If necessary, change the network interface name in line 198 of NetworkMonitor.py and line 136 of ProfileBuilder.py

• Create CSV files:

  • Device_MAC_Name_Mapping.csv - Contains information for all IoT devices in the system.
    • Headers: MAC Address, Device Name
  • Profiling_Device_MAC_List.csv - List for devices that need to be trained. No header.
  • Monitoring_Device_MAC_List.csv - List for devices that need to be monitored. No header.

For live capture, use the commands:

python3 ProfileBuilder.py "complete project path" False PCAP
python3 NetworkMonitor.py "complete project path" False PCAP

For offline pcap files:

• Put training files inside traffic/training folder
• Put monitoring files inside traffic/monitoring folder
• Use the commands:

python3 ProfileBuilder.py "complete project path" True PCAP
python3 NetworkMonitor.py "complete project path" True PCAP