Organisational Security Dependent on Individual Privacy

Vitalian Danciu
<span title="2020-06-18">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yccq43c5yrambibcoue7gd3qma" style="color: black;">SN Computer Science</a> </i> &nbsp;
The global proliferation of cloud computing, smart homes, the internet of things and machine learning requires a novel view on the flow of confidential information and its classification. The security of an organisation is affected by the privacy enjoyed by its members. Sufficient data on those members can be leveraged in a so-called abduction attack aiming to extract confidential information from the organisation. To illustrate it we develop a model of actors and data flows and discuss three
more &raquo; ... enarios in which the confidentiality achievable by an organisation is limited by the privacy of its members. We support the model and the attack scenarios by reviews of the most prolific sources of personal data, its handling and its perceived value to the individuals it pertains to.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42979-020-00206-y">doi:10.1007/s42979-020-00206-y</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yb5ig7eegvgrxcxugsdm7psgry">fatcat:yb5ig7eegvgrxcxugsdm7psgry</a> </span>
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