Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data-Driven Modeling of Cyber-Physical Systems Using Side-Channel Analysis

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

Rokka Chhetri, Sujit
Al Faruque, Mohammad Abdullah

Hardcover

Technology & EngineeringGeneral Computers

ISBN10: 3030379612
ISBN13: 9783030379612
Publisher: Springer Nature
Published: Feb 9 2020
Pages: 235
Weight: 1.17
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English

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.

1 different editions

Also available

Also in

Technology & Engineering

View All