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Privacy Risk Analysis fills a gap in the existing literature by
providing an introduction to the basic notions, requirements, and
main steps of conducting a privacy risk analysis. The deployment of
new information technologies can lead to significant privacy risks
and a privacy impact assessment should be conducted before
designing a product or system that processes personal data.
However, if existing privacy impact assessment frameworks and
guidelines provide a good deal of details on organizational aspects
(including budget allocation, resource allocation, stakeholder
consultation, etc.), they are much vaguer on the technical part, in
particular on the actual risk assessment task. For privacy impact
assessments to keep up their promises and really play a decisive
role in enhancing privacy protection, they should be more precise
with regard to these technical aspects. This book is an excellent
resource for anyone developing and/or currently running a risk
analysis as it defines the notions of personal data, stakeholders,
risk sources, feared events, and privacy harms all while showing
how these notions are used in the risk analysis process. It
includes a running smart grids example to illustrate all the
notions discussed in the book.
The social benefit derived from Online Social Networks (OSNs) can
lure users to reveal unprecedented volumes of personal data to an
online audience that is much less trustworthy than their offline
social circle. Even if a user hides his personal data from some
users and shares with others, privacy settings of OSNs may be
bypassed, thus leading to various privacy harms such as identity
theft, stalking, or discrimination. Therefore, users need to be
assisted in understanding the privacy risks of their OSN profiles
as well as managing their privacy settings so as to keep such risks
in check, while still deriving the benefits of social network
participation. This book presents to its readers how privacy risk
analysis concepts such as privacy harms and risk sources can be
used to develop mechanisms for privacy scoring of user profiles and
for supporting users in privacy settings management in the context
of OSNs. Privacy scoring helps detect and minimize the risks due to
the dissemination and use of personal data. The book also discusses
many open problems in this area to encourage further research.
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