Foundations of a CPS Resilience - April 2021

PI: Xenofon Koutsoukos

HARD PROBLEM(S) ADDRESSED

The goals of this project are to develop the principles and methods for designing and analyzing resilient CPS architectures that deliver required service in the face of compromised components. A fundamental challenge is to understand the basic tenets of CPS resilience and how they can be used in developing resilient architectures. The primary hard problem addressed is resilient architectures. In addition, the work addresses scalability and composability as well as metrics and evaluation. 

PUBLICATIONS

[1]    Ajay Chhokra, Carlos Barreto, Abhishek Dubey, Gabor Karsai and Xenofon Koutsoukos, “Power-Attack: A comprehensive tool-chain for modeling and simulating attacks in power systems”, 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MPCPES 2021). Accepted for publication.
[2]    Feiyang Cai, Ali Ozdagli, Xenofon Koutsoukos, “Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression”, IEEE International Conference on Industrial Cyber-Physical Systems (ICPS 2021). Accepted for publication.
[3]    Dimitrios Boursinos and Xenofon Koutsoukos, “Assurance Monitoring of Learning Enabled Cyber-Physical Systems using Inductive Conformal Prediction based on Distance Learning”, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Accepted for publication.

KEY HIGHLIGHTS

This quarterly report presents one key highlight that demonstrate a software tool for modeling and simulating attacks in power systems.

Highlight: Modeling and simulating attacks in power systems

Due to the increased deployment of novel communication, control and protection functions, the grid has become vulnerable to a variety of attacks. Designing robust machine learning based attack detection and mitigation algorithms require large amounts of data that rely heavily on a representative environment, where different attacks can be simulated. In this work, we have developed a comprehensive tool-chain for modeling and simulating attacks in power systems. First, we present a probabilistic domain specific language to define multiple attack scenarios and simulation configuration parameters. Secondly, we extend the PyPower-dynamics simulator with protection system components to simulate cyber-attacks in control and protection layers of power system. We demonstrate multiple attack scenarios with a case study based on IEEE 39 bus system. Our results are presented in [1]. 

[1]    Ajay Chhokra, Carlos Barreto, Abhishek Dubey, Gabor Karsai and Xenofon Koutsoukos, “Power-Attack: A comprehensive tool-chain for modeling and simulating attacks in power systems”, 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MPCPES 2021). May 18, 2021.

COMMUNITY ENGAGEMENTS

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