Machine learning cryptography methods for IoT in healthcare

Table 4 Model performance comparison of F1-score for different LWC algorithms and ML models on 16 KB

File Size	Algorithm	Decision Tree	Random Forest	SVM	MLP	KNN
16 KB	AES	0.85	0.87	0.84	0.88	0.82
	PRESENT	0.78	0.81	0.79	0.80	0.76
	SIMON	0.82	0.84	0.81	0.83	0.80
	XTEA	0.75	0.77	0.76	0.78	0.74
	PRINCE	0.79	0.82	0.78	0.83	0.77
	MSEA	0.81	0.83	0.80	0.84	0.79
	LEA	0.76	0.79	0.77	0.80	0.75
	RECTANGLE	0.80	0.82	0.79	0.83	0.78
64 KB	AES	0.94	0.96	0.92	0.95	0.93
	PRESENT	0.91	0.93	0.89	0.92	0.90
	SIMON	0.93	0.95	0.91	0.94	0.92
	XTEA	0.89	0.91	0.87	0.90	0.88
	PRINCE	0.92	0.94	0.90	0.93	0.91
	MSEA	0.90	0.92	0.88	0.91	0.89
	LEA	0.88	0.90	0.86	0.89	0.87
	RECTANGLE	0.95	0.97	0.93	0.96	0.94
256 KB	AES	0.87	0.90	0.88	0.88	0.85
	PRESENT	0.87	0.91	0.88	0.87	0.85
	SIMON	0.88	0.90	0.89	0.88	0.86
	XTEA	0.85	0.87	0.84	0.83	0.82
	PRINCE	0.91	0.93	0.91	0.92	0.90
	MSEA	0.86	0.89	0.87	0.87	0.84
	LEA	0.90	0.92	0.90	0.91	0.89
	RECTANGLE	0.93	0.95	0.93	0.94	0.92
512 KB	AES	0.82	0.88	0.94	0.95	0.92
	PRESENT	0.85	0.91	0.93	0.94	0.89
	SIMON	0.78	0.88	0.90	0.91	0.86
	XTEA	0.71	0.90	0.88	0.87	0.85
	PRINCE	0.91	0.93	0.91	0.92	0.90
	MSEA	0.75	0.85	0.86	0.87	0.82
	LEA	0.82	0.89	0.90	0.92	0.86
	RECTANGLE	0.94	0.90	0.91	0.92	0.87
1024 KB	AES	0.97	0.98	0.95	0.98	0.97
	PRESENT	0.95	0.97	0.94	0.97	0.96
	SIMON	0.92	0.94	0.91	0.94	0.93
	XTEA	0.97	0.98	0.96	0.98	0.97
	PRINCE	0.94	0.96	0.92	0.96	0.95
	MSEA	0.90	0.92	0.87	0.93	0.91
	LEA	0.92	0.94	0.89	0.95	0.94
	RECTANGLE	0.98	0.99	0.97	0.99	0.99
2048 KB	AES	0.91	0.93	0.94	0.95	0.93
	PRESENT	0.89	0.92	0.93	0.94	0.91
	SIMON	0.93	0.95	0.97	0.98	0.95
	XTEA	0.86	0.89	0.90	0.91	0.88
	PRINCE	0.91	0.94	0.96	0.97	0.94
	MSEA	0.90	0.92	0.93	0.94	0.92
	LEA	0.88	0.91	0.92	0.93	0.91
	RECTANGLE	0.95	0.97	0.98	0.99	0.97

ISSN: 1472-6947