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This book examines essential problems in the current International
Monetary System, especially those concerning the International
Standard. To do so, it focuses on the different monetary systems of
today's major currencies - the US dollar, the euro and the CNY, as
well as the performance of the standards used in the international
monetary system, i.e., the SDRs. In addition, it projects the
potential consequences of including the Chinese CNY in the current
SDR system, thus proposing a reform of the SDRs. The analytical
research is mainly based on a performance comparison of the major
international standards in the current international monetary
system. The author illustrates that the political/policy reactions
and economic philosophies underlying each monetary system
constitute not only reasonable responses to the current
international monetary system, but also fundamental factors in
decisions concerning changes to or reforms of the international
monetary system.div>
This SpringerBrief mainly focuses on effective big data analytics
for CPS, and addresses the privacy issues that arise on various CPS
applications. The authors develop a series of privacy preserving
data analytic and processing methodologies through data driven
optimization based on applied cryptographic techniques and
differential privacy in this brief. This brief also focuses on
effectively integrating the data analysis and data privacy
preservation techniques to provide the most desirable solutions for
the state-of-the-art CPS with various application-specific
requirements. Cyber-physical systems (CPS) are the "next generation
of engineered systems," that integrate computation and networking
capabilities to monitor and control entities in the physical world.
Multiple domains of CPS typically collect huge amounts of data and
rely on it for decision making, where the data may include
individual or sensitive information, for e.g., smart metering,
intelligent transportation, healthcare, sensor/data aggregation,
crowd sensing etc. This brief assists users working in these areas
and contributes to the literature by addressing data privacy
concerns during collection, computation or big data analysis in
these large scale systems. Data breaches result in undesirable loss
of privacy for the participants and for the entire system,
therefore identifying the vulnerabilities and developing tools to
mitigate such concerns is crucial to build high confidence CPS.
This Springerbrief targets professors, professionals and research
scientists working in Wireless Communications, Networking,
Cyber-Physical Systems and Data Science. Undergraduate and
graduate-level students interested in Privacy Preservation of
state-of-the-art Wireless Networks and Cyber-Physical Systems will
use this Springerbrief as a study guide.
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