Towards the Development of a Cloud Computing Intrusion Detection Framework Using an Ensemble Hybrid Feature Selection Approach

Table 10

Attack packet classification: classification accuracy.

Feature set/classifier	C1	C2	C3	C4	C5	C6	C7	C8	C9	C10	C12
	In percentage
All	99.07	99.22	94.05	9.64	16.91	84.79	98.06	89.16	79.69	79.62	99.27
Ens	98.8	98.96	77.75	9.46	20.6	50.78	97.4	83.35	75.99	84.79	98.92

All: all features; Ens: features selected by the HEFSM ensemble. C12 is the proposed multiclass detection engine.