A Blockchain-Enabled Secure Digital Twin Framework for Early Botnet Detection in IIoT Environment

. 2022 Aug 16;22(16):6133. doi: 10.3390/s22166133

Algorithm 1 The proposed Blockchain-enabled Secure Digital Twin Framework

Input:

D e v i c e_{1 - n}, D T_{1 - 4}, P A

, TCP/UDP packets

Initialization Phase:
$Distribute devices (D e v i c e_{1 - p}$ , $D e v i c e_{1 - q}$ , $D e v i c e_{1 - r})$ based on factory processes.
$Assign factory process 1 - 4 to D T_{1 - 4}$
$Split Devices to D T_{1}$ , $D T_{2}$ , $D T_{3}$ , and $D T_{4}$ .
$Register D T_{n}$ ( $D e v i c e s_{n})$ in the private blockchain and assign certificate
$D T_{1 - n}$ transmits and shares data with other $D T_{1 - n}$
$Synchronize data between D T_{1 - 4}$ and PA to determine
$if (D T_{p a c k e t s} = P A_{p a c k e t s})$
return network secure
else
$return register IP addresses and D T_{n}$ in private blockchain
end if
Collect TCP/UDP packet headers
Train deep learning model using collected packets
Assign IoT devices their group based on their process
if botnet activity = false
return network secure
else
$return register IP addresses and infected D T_{n}$ in private blockchain
$revoke compromised D T_{n}$ certificate to prevent inter DT communication
end if
End