An Approach of Replicating Multi-Staged Cyber-Attacks and Countermeasures in a Smart Grid Co-Simulation Environment

by   Ömer Sen, et al.

While the digitization of power distribution grids brings many benefits, it also introduces new vulnerabilities for cyber-attacks. To maintain secure operations in the emerging threat landscape, detecting and implementing countermeasures against cyber-attacks are paramount. However, due to the lack of publicly available attack data against Smart Grids (SGs) for countermeasure development, simulation-based data generation approaches offer the potential to provide the needed data foundation. Therefore, our proposed approach provides flexible and scalable replication of multi-staged cyber-attacks in an SG Co-Simulation Environment (COSE). The COSE consists of an energy grid simulator, simulators for Operation Technology (OT) devices, and a network emulator for realistic IT process networks. Focusing on defensive and offensive use cases in COSE, our simulated attacker can perform network scans, find vulnerabilities, exploit them, gain administrative privileges, and execute malicious commands on OT devices. As an exemplary countermeasure, we present a built-in Intrusion Detection System (IDS) that analyzes generated network traffic using anomaly detection with Machine Learning (ML) approaches. In this work, we provide an overview of the SG COSE, present a multi-stage attack model with the potential to disrupt grid operations, and show exemplary performance evaluations of the IDS in specific scenarios.



There are no comments yet.


page 1

page 2

page 3

page 4

page 5


Investigating Man-in-the-Middle-based False Data Injection in a Smart Grid Laboratory Environment

With the increasing use of information and communication technology in e...

Towards an Approach to Contextual Detection of Multi-Stage Cyber Attacks in Smart Grids

Electric power grids are at risk of being compromised by high-impact cyb...

Deep Learning-Based Intrusion Detection System for Advanced Metering Infrastructure

Smart grid is an alternative solution of the conventional power grid whi...

Detection of Compromised Smart Grid Devices with Machine Learning and Convolution Techniques

The smart grid concept has transformed the traditional power grid into a...

Anomaly Detection in Cyber Network Data Using a Cyber Language Approach

As the amount of cyber data continues to grow, cyber network defenders a...

Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning

Smart grids are vulnerable to cyber-attacks. This paper proposes a game-...

Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach

Early detection of cyber-attacks is crucial for a safe and reliable oper...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.