menu
{ "item_title" : "Data-Driven Modeling of Cyber-Physical Systems Using Side-Channel Analysis", "item_author" : [" Sujit Rokka Chhetri", "Mohammad Abdullah Al Faruque "], "item_description" : "This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach. The authors cover the use of state-of-the-art machine learning and artificial intelligence algorithms for modeling various aspect of the CPS. This book provides insight on how a data-driven modeling approach can be utilized to take advantage of the relation between the cyber and the physical domain of the CPS to aid the first-principle approach in capturing the stochastic phenomena affecting the CPS. The authors provide practical use cases of the data-driven modeling approach for securing the CPS, presenting novel attack models, building and maintaining the digital twin of the physical system. The book also presents novel, data-driven algorithms to handle non- Euclidean data. In summary, this book presents a novel perspective for modeling the CPS. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/037/961/3030379612_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data-Driven Modeling of Cyber-Physical Systems Using Side-Channel Analysis|Sujit Rokka Chhetri

Data-Driven Modeling of Cyber-Physical Systems Using Side-Channel Analysis

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach. The authors cover the use of state-of-the-art machine learning and artificial intelligence algorithms for modeling various aspect of the CPS. This book provides insight on how a data-driven modeling approach can be utilized to take advantage of the relation between the cyber and the physical domain of the CPS to aid the first-principle approach in capturing the stochastic phenomena affecting the CPS. The authors provide practical use cases of the data-driven modeling approach for securing the CPS, presenting novel attack models, building and maintaining the digital twin of the physical system. The book also presents novel, data-driven algorithms to handle non- Euclidean data. In summary, this book presents a novel perspective for modeling the CPS.

This item is Non-Returnable

Details

  • ISBN-13: 9783030379612
  • ISBN-10: 3030379612
  • Publisher: Springer
  • Publish Date: February 2020
  • Dimensions: 9.21 x 6.14 x 0.63 inches
  • Shipping Weight: 1.17 pounds
  • Page Count: 235

Related Categories

You May Also Like...

    1

BAM Customer Reviews