Table 5 Simulation parameters.
From: Bayesian-driven autonomous defense adaptive consensus optimisation for blockchain networks
Parameter category | Parameter name | Value/description |
|---|---|---|
General simulation | Time steps | 1000 (default) |
Network | Total nodes | 1000 |
Initial active nodes | 1000 (equal to total nodes) | |
Initial consensus mechanism | PBFT (Practical Byzantine Fault Tolerance) | |
Network metrics | Performance indicators | Latency, throughput, CPU usage, bandwidth, error rate |
Attack scenarios | Types | Sybil, majority, DoS, eclipse, byzantine, routing |
Recovery | Recovery rate | 0.2 (20% recovery per step) |
Max malicious percentage | 0.25 (25% maximum allowed malicious nodes) | |
Quarantined node release rate | 0.1 (10% release per step) | |
Consensus mechanisms | Available mechanisms | POW, POS, PBFT, POA, DPOS |
Bayesian priors | Initial threat probabilities | Beta (2,8) for all threat types |
