ASTORIA: A framework for attack simulation and evaluation in smart grids

Wermann, Alexandre Gustavo; Bortolozzo, Marcelo; Silva, Eduardo Germano da; Schaeffer-Filho, Alberto; Gaspary, Luciano Paschoal; Barcellos, Marinho P.

doi:10.1109/noms.2016.7502822

Cited by 23 publications

(6 citation statements)

References 11 publications

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“…Regarding the evaluation of security aspects through simulation-based platforms, there are two lines of research, both of which have primarily evolved from relevant developments that assess the security of SCADA or more generic cyber-physical systems. The first consists of approaches that combine network simulation and attack modeling in order to evaluate the impact of data and network availability attacks on the operation of smart grid [57][58][59]. The second has to do with testbeds that incorporate simulation, emulation and hardware-in-the-loop components with the aim to provide a more realistic environment for experimentation and assess the vulnerabilities of real implementations of protocols and software components running on smart grid nodes [60][61][62][63][64].…”

Section: Discussionmentioning

confidence: 99%

Novel Simulation Approaches for Smart Grids

Tsampasis

Sarakis²,

Leligou³

et al. 2016

JSAN

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Abstract:The complexity of the power grid, in conjunction with the ever increasing demand for electricity, creates the need for efficient analysis and control of the power system. The evolution of the legacy system towards the new smart grid intensifies this need due to the large number of sensors and actuators that must be monitored and controlled, the new types of distributed energy sources that need to be integrated and the new types of loads that must be supported. At the same time, integration of human-activity awareness into the smart grid is emerging and this will allow the system to monitor, share and manage information and actions on the business, as well as the real world. In this context, modeling and simulation is an invaluable tool for system behavior analysis, energy consumption estimation and future state prediction. In this paper, we review current smart grid simulators and approaches for building and user behavior modeling, and present a federated smart grid simulation framework, in which building, control and user behavior modeling and simulation are decoupled from power or network simulators and implemented as discrete components. This framework enables evaluation of the interactions between the communication infrastructure and the power system taking into account the human activities, which are at the focus of emerging energy-related applications that aim to shape user behavior. Validation of the key functionality of the proposed framework is also presented.

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Section: Discussionmentioning

confidence: 99%

Novel Simulation Approaches for Smart Grids

Tsampasis

Sarakis²,

Leligou³

et al. 2016

JSAN

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“…The authors in [151] modelled volt/var control, demand response, and distribution automation using the GridSpice simulation platform to keep the voltage profile over the feeder flat and steady. A framework, ASTORIA, has been introduced to address the lack of comprehensive metrics and evaluation tools for assessing security properties in utility company infrastructures, designed for attack simulation in Smart Grids [152]. ASTORIA integrates a power flow and a network simulator to create a realistic Smart Grid environment.…”

Section: Sg Simulation For Load Managementmentioning

confidence: 99%

Survey on Simulation and Vulnerability Testing in Smart Grid

Banik,

Banik

2024

Preprint

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The rapid integration of Information and Communication Technology (ICT) is transforming the traditional electrical grid into a {\em Smart Grid}. Smart grids enable two-way communication and improved monitoring and control between utilities and customers. However, due to its heterogeneous nature, public exposure, and weak security at low-powered devices, the Smart Grid has vulnerabilities to various malicious threats, adversaries, and cyber attacks, which may affect cost and service availability. Additionally, when the systems' confidentiality, integrity, or availability are compromised, the resulting fallout can threaten national security and have cascading effects on human lives. Given the extreme consequences of an attack, smart-grid technology must be thoroughly tested for correct operation and security {\em before} it is deployed. As a result, vulnerability testing of smart grids, not only for correctness but for security purposes, has been the subject of numerous studies by academics, government agencies, and private companies. This paper reviews the vulnerabilities associated with the smart grid and spotlights simulation as the vulnerability testing methodology conducted in recent pertinent research works. It also presents various security aspects of the smart grid, including grid applications, system and network infrastructure and components, cyber threats and attacks, simulation, and different mitigation techniques. Finally, we analyze the gaps in the current research works, focusing on simulation. We briefly present a real-time simulation testbed that mimics customer behaviour and integrates hardware in the loop to apply attack methods, analyze vulnerabilities and risk mitigation associated with the smart grid system, and propose future work to improve the current framework.

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“…ASTORIA [14] is an attack simulation and evaluation framework for the smart grid framework. At the core of ASTORIA, PY-POWER and ns-3 were applied as the power flow and network simulator, respectively.…”

Section: Background and Related Workmentioning

confidence: 99%

GridAttackSim: A Cyber Attack Simulation Framework for Smart Grids

Anwar

Loke

et al. 2020

Electronics

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The smart grid system is one of the key infrastructures required to sustain our future society. It is a complex system that comprises two independent parts: power grids and communication networks. There have been several cyber attacks on smart grid systems in recent years that have caused significant consequences. Therefore, cybersecurity training specific to the smart grid system is essential in order to handle these security issues adequately. Unfortunately, concepts related to automation, ICT, smart grids, and other physical sectors are typically not covered by conventional training and education methods. These cybersecurity experiences can be achieved by conducting training using a smart grid co-simulation, which is the integration of at least two simulation models. However, there has been little effort to research attack simulation tools for smart grids. In this research, we first review the existing research in the field, and then propose a smart grid attack co-simulation framework called GridAttackSim based on the combination of GridLAB-D, ns-3, and FNCS. The proposed architecture allows us to simulate smart grid infrastructure features with various cybersecurity attacks and then visualize their consequences automatically. Furthermore, the simulator not only features a set of built-in attack profiles but also enables scientists and electric utilities interested in improving smart grid security to design new ones. Case studies were conducted to validate the key functionalities of the proposed framework. The simulation results are supported by relevant works in the field, and the system can potentially be deployed for cybersecurity training and research.

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ASTORIA: A framework for attack simulation and evaluation in smart grids

Cited by 23 publications

References 11 publications

Novel Simulation Approaches for Smart Grids

Novel Simulation Approaches for Smart Grids

Survey on Simulation and Vulnerability Testing in Smart Grid

GridAttackSim: A Cyber Attack Simulation Framework for Smart Grids

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