Localization and Detection of Multiple Attacks in Wireless Sensor Networks Using Artificial Neural Network

Table 9

Comparative analysis of the proposed technique with recent attack detection models using CICIDS2018 dataset.

	Methods	Accuracy	Precision	Recall	F1-score
Zhou et al. [8]	MLP	97.56	99.12	98.79	98.23
Almomani et al. [20]	ANN-IDS	97.18	97.8	97.5	97.69
Sujatha and Anita [24]	FEM	99	98	98	98.98
Zhang et al. [67]	MK-ELM	98.34	98.03	97.63	97.64
Khan et al. [68]	LEACH++-ANN	97	96.8	96	96.4
Mohammadpour et al. [69]	CNN-MCL	99.46	99.76	99.15	99.46
Xinlong and Zhibin [70]	HTM-LSTM	97.74	97.20	97.92	97.72
Proposed system	MLPANN	99.83	99.71	100.00	99.85