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Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems (Hardcover, 1st ed. 2020): Beibei Li, Rongxing... Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems (Hardcover, 1st ed. 2020)
Beibei Li, Rongxing Lu, Gaoxi Xiao
R2,873 Discovery Miles 28 730 Ships in 10 - 15 working days

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.

Alternative Data and Artificial Intelligence Techniques - Applications in Investment and Risk Management (Hardcover, 1st ed.... Alternative Data and Artificial Intelligence Techniques - Applications in Investment and Risk Management (Hardcover, 1st ed. 2022)
Qingquan Tony Zhang, Beibei Li, Danxia Xie
R4,243 Discovery Miles 42 430 Ships in 12 - 19 working days

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.

Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems (Paperback, 1st ed. 2020): Beibei Li, Rongxing... Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems (Paperback, 1st ed. 2020)
Beibei Li, Rongxing Lu, Gaoxi Xiao
R2,839 Discovery Miles 28 390 Ships in 10 - 15 working days

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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