In blockchain and network forensics, analysts often model digital events as arrival and service processes. Each log entry or transaction behaves like a packet entering and leaving a system.
By studying timing intervals and queue buildup, investigators can reconstruct when events occurred and how systems became congested or compromised.
“Every digital event leaves a trace. Queueing theory helps reveal when, where, and why it occurred.”