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This book discusses cybersecurity issues of smart grid
cyber-physical systems, focusing on the detection techniques
against false data injection attacks. The authors discuss passive
and proactive techniques that combat and mitigate two categories of
false data injection attacks, false measurement data injections and
false command data injections in smart grid cyber-physical systems.
These techniques are easy to follow for either professionals or
beginners. With this book, readers can quickly get an overview of
this topic and get ideas of new solutions for false data injections
in smart grid cyber-physical systems. Readers include researchers,
academics, students, and professionals. Presents a comprehensive
summary for the detection techniques of false data injection
attacks in smart grid cyber-physical systems; Reviews false data
injections for either measurement data or command data; Analyzes
passive and proactive approaches to smart grid cyber-physical
systems.
This book introduces a state-of-art approach in evaluating
portfolio management and risk based on artificial intelligence and
alternative data. The book covers a textual analysis of news and
social media, information extraction from GPS and IoTs data, and
risk predictions based on small transaction data, etc. The book
summarizes and introduces the advancement in each area and
highlights the machine learning and deep learning techniques
utilized to achieve the goals. As a complement, it also illustrates
examples on how to leverage the python package to visualize and
analyze the alternative datasets, and will be of interest to
academics, researchers, and students of risk evaluation, risk
management, data, AI, and financial innovation.
This book discusses cybersecurity issues of smart grid
cyber-physical systems, focusing on the detection techniques
against false data injection attacks. The authors discuss passive
and proactive techniques that combat and mitigate two categories of
false data injection attacks, false measurement data injections and
false command data injections in smart grid cyber-physical systems.
These techniques are easy to follow for either professionals or
beginners. With this book, readers can quickly get an overview of
this topic and get ideas of new solutions for false data injections
in smart grid cyber-physical systems. Readers include researchers,
academics, students, and professionals. Presents a comprehensive
summary for the detection techniques of false data injection
attacks in smart grid cyber-physical systems; Reviews false data
injections for either measurement data or command data; Analyzes
passive and proactive approaches to smart grid cyber-physical
systems.
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