Social Networking Privacy Behaviors and Vulnerabilities
The study of online privacy management is a relatively new field,
which suffers from a lack of empirical studies and needs to be examined in greater depth.
This project will identify security behaviours and attitudes for social network users from different demographic groups,
and assess how these behaviours map against privacy vulnerabilities inherent in social networking applications.
Attitudes and Behaviors
Construct a questionnaire and assemble a demographically diverse study group
to discover privacy attitudes and behaviours of social network users.
At this point, Facebook is the preferred candidate network, because MySpace is skewed to a teen demographic.
For more information on this see
Facebook vs MySpace Analysis.
Potential questions about user attitudes could focus on user's knowledge of what parts of their personal information
are available online, how concerned they are about privacy, how much 'at risk' they feel when using social networks,
what steps they take to manage or protect their privacy,
and their levels of knowledge about browser and social network privacy configuration settings.
Potential questions about behaviours could examine what steps users take to manage or protect their privacy,
how users handle friend requests, what types of personal information users post online
(photos, personal opinions, party plans, relationships, blogs, links to personal or professional web sites, etc.),
and what tools users employ to 'test' their privacy.
For example, do users perform Google searches on themselves to see what personal information is out there?
Can the project team come up with any other ways to test privacy?
Privacy Threats and Vulnerabilities
Using a combination of peer-reviewed publications, media coverage and the assembled knowledge of the project team,
construct a list of major privacy threats and vulnerabilities for social network users.
This list should not focus on the usual malware, spyware or technological threats,
we are interested in user behaviours that create privacy threats.
For example, improper security configurations could result in a few different threats and vulnerabilities,
giving address information (even of clubs or schools) could result in a stalking threat,
while posting pictures of a wild life style could result in a threat to a user's career.
Theat - Behavior Mapping
Finally, construct a risk matrix to map privacy behaviours against privacy threats and vulnerabilities.
Using a score from 1 to 10, assign each of these intersection points (where a behaviour creates a vulnerability)
two values for 'Likelihood of Occurrence' and 'Severity of Impact'.
At this point, study conclusions and areas for future research will be apparent and should be suggested.
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