An Insider Threat Detection Approach Based on Mouse Dynamics and Deep Learning

Table 1

The results of experiment A.

User	m=25		m=50		m=100		m=500		m=1000
	FAR(%)	FRR(%)	FAR(%)	FRR(%)	FAR(%)	FRR(%)	FAR(%)	FRR(%)	FAR(%)	FRR(%)
7	16.556	10.333	7.37	6.37	4.889	2.444	4.519	0.185	1.778	0.259
9	9.519	10.815	6.222	3.889	2.704	2.556	2.444	0.037	0.519	0.037
12	18.37	12.259	8.148	9.63	4.222	2.963	1.259	0.444	0.852	0.296
15	9.407	7.037	11.593	7.63	4.963	1	0.519	0.148	0	0.259
16	10.667	9.185	7.556	4.148	5.111	1.852	1.037	0.074	0.444	0
20	6.074	8.185	9.63	1.556	2.444	1.112	0.852	0.37	0.519	0.037
21	7.704	8.704	4.407	4	1	2.519	0.778	0.519	0.222	0.037
23	7.259	9.222	3	5.852	0.63	3.481	1.704	0.37	0.259	0
29	12.481	10.333	6.963	5.593	1.704	2.667	1.037	0.148	0.481	0.185
35	9.26	9.704	3.667	4.889	1.704	2.185	3.778	0.037	0.704	0.074
Avg	10.7297	9.5777	6.8556	5.3557	2.9371	2.2779	1.7927	0.2332	0.5778	0.1184