Topic Chains for Determining Risk of Unauthorized Information Transfer
abstract: Corporations invest considerable resources to create, preserve and analyze their data; yet while organizations are interested in protecting against unauthorized data transfer, there lacks a comprehensive metric to discriminate what data are at risk of leaking. This thesis motivates t...
Other Authors: | |
---|---|
Format: | Dissertation |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://hdl.handle.net/2286/R.I.27506 |