A Hybrid Model for Intrusion Detection in IoT Applications

Table 1

Comparative analysis of PO-CFNN technique with recent approaches to the NSL-KDD++ dataset.

Methods	Accuracy	Precision	Recall	score
PO-CFNN	99.86	99.89	99.58	99.72
SHOLEN model [22]	99.62	99.76	99.49	99.60
ASCH model [23]	98.74	96.62	98.82	93.36
RNN model	97.70	96.25	95.55	93.36
Deep NN model	96.55	95.58	95.47	92.50
DBN model [24]	95.44	94.25	93.28	92.39