Survey on Botnet Detection Techniques: Classification, Methods, and Evaluation

Table 13

Evaluation vector score.

Evaluation group	Attribute value	Bot Catcher		PRCL		XIONG		PeerHunter		PSO		ConnSpoiler		BotSifter		HANABot
		EV	Score	EV	Score	EV	Score	EV	Score	EV	Score	EV	Score	EV	Score	EV	Score
Service	Accuracy	Ac: VL	0.95	Ac: L	0.9	Ac: L	0.9	Ac:vL	0.95	Ac: vL	0.95	Ac: L	0.9	Ac: L	0.9	Ac:vL	0.95
	Scenes	Se: G	0.9	Se: G	0.9	Se: G	0.9	Se: G	0.9	Se: G	0.9	Se: S	0.8	Se: G	0.9	Se: G	0.9
	Lifecycle stage	St: I	0.5	St: I	0.5	St: I	0.5	St: E	0.7	St: I	0.5	St: E	0.7	St: I	0.5	St: E	0.7
Intelligent	Automation	Au: H	0.9	Au: H	0.9	Au: M	0.7	Au: M	0.7	Au: M	0.7	Au: M	0.7	Au: M	0.7	Au: M	0.7
	Adaptation	Ad: Y	0.9	Ad: Y	0.9	Ad: Y	0.9	Ad: Y	0.9	Ad: Y	0.9	Ad: Y	0.9	Ad: Y	0.9	Ad: Y	0.9
	Real-time	Re: N	0.6	Re: Y	0.9	Re: N	0.6	Re: N	0.6	Re: N	0.6	Re: N	0.6	Re: Y	0.9	Re: N	0.6
Collaboration	Architecture	Ar: C	0.6	Ar: C	0.6	Ar: C	0.6	Ar: C	0.6	Ar: C	0.6	Ar: C	0.6	Ar: D	0.9	Ar: C	0.6
	Content	Co: S	0.7	Co: S	0.7	Co: S	0.7	Co: M	0.9	Co: S	0.7	Co: S	0.7	Co: S	0.7	Co: M	0.9
	Deep latent latency	In: N	0.7	In: N	0.7	In: N	0.7	In: N	0.7	In: Y	0.9	In: N	0.7	In: Y	0.9	In: N	0.7
Assistant	Lurking	La: N	0.6	La: Y	0.8	La: N	0.6	La: N	0.6	La: N	0.6	La: N	0.6	La: N	0.6	La: N	0.6
	Cost	Cos: H	0.5	Cos: H	0.5	Cos: L	0.9	Cos: M	0.7	Cos: L	0.9	Cos: L	0.9	Cos: H	0.5	Cos: H	0.5
	Visualization	Vi: N	0.5	Vi: N	0.5	Vi: Y	0.6	Vi: N	0.5	Vi: N	0.5	Vi: N	0.5	Vi: N	0.5	Vi: N	0.5