An Intelligent Detection Method of Personal Privacy Disclosure for Social Networks

Table 4

Basic metric value assignment table.

Parameters	Values corresponding to different degrees
Access vector	Local: 0.7		Remote: 1.0
Access complexity	Height: 0.8		Low: 1.0
Authentication	Requires: 0.6		Not required: 1.0
Confidentiality impact	None: 0	Section: 0.7	All: 1.0
Confidentiality impact weight value	Normal: 0.333	Confidentiality: 0.5	Consistency: 0.25	Availability: 0.25
Consistency impact	None: 0	Section: 0.7	All: 1.0
Consistency influence weight value	Normal: 0.333	Confidentiality: 0.25	Consistency: 0.5	Availability: 0.25
Usability impact	None: 0	Section: 0.7	All: 1.0
Usability impact weight value	Normal: 0.333	Confidentiality: 0.25	Consistency: 0.25	Availability: 0.5