An Intelligent Detection Method of Personal Privacy Disclosure for Social Networks

Table 3

Calculation table of basic metrics.

Characteristic values	Related parameters
	a1	a2	a3	a4	a5	a6	a7	a8	a9	a10
f1	0.7	0.8	1.0	1.0	0.5	1.0	0.25	1.0	0.25	5.6
f2	0.7	0.8	1.0	0.7	0.333	0.7	0.333	0.7	0.333	3.92
f3	0.7	0.8	1.0	0.7	0.333	0.7	0.333	0.7	0.333	3.92
f4	0.7	0.8	1.0	0.7	0.333	0.7	0.333	1.0	0.333	2.3
f5	0.7	0.8	1.0	0.7	0.333	0.7	0.333	1.0	0.333	2.3
f6	0.7	0.8	1.0	0.7	0.333	0.7	0.333	1.0	0.333	2.3
f7	0.7	0.8	1.0	0.7	0.25	0.7	0.25	0.7	0.5	3.92
f8	0.7	0.8	1.0	0.7	0.333	0.7	0.333	1.0	0.333	2.3

a1: access vector, a2: access complexity, a3: authentication, a4: confidentiality impact, a5: confidentiality impact weight value, a6: consistency impact, a7: consistency influence weight value, a8: usability impact, a9: usability impact weight value, and a10: basic measure.