Petri Net Modeling of Cyber-Physical Attacks on Smart Grid

Chen, Tom; Sánchez-Aarnoutse, Juan Carlos; Buford, John F.

doi:10.1109/tsg.2011.2160000

Cited by 228 publications

(99 citation statements)

References 36 publications

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“…Chen et al [11] investigate the use of Petri nets for modeling coordinated cyber-physical attacks on the smart grid. Yuan et al [12] propose a Smart Grids Distributed Intrusion Detection System (SGDIDS), by developing and deploying an intelligent module-the Analyzing Module (AM)-in the multiple layers of smart grids.…”

Section: Attack Methodsmentioning

confidence: 99%

Intrusion Detection of NSM Based DoS Attacks Using Data Mining in Smart Grid

Choi

Chen

et al. 2012

Energies

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Abstract:In this paper, we analyze the Network and System Management (NSM) requirements and NSM data objects for the intrusion detection of power systems; NSM is an IEC 62351-7 standard. We analyze a SYN flood attack and a buffer overflow attack to cause the Denial of Service (DoS) attack described in NSM. After mounting the attack in our attack testbed, we collect a data set, which is based on attributes for the attack. We then run several data mining methods with the data set using the Waikato Environment for Knowledge Analysis (WEKA). In the results, we select the decision tree algorithms with high detection rates, and choose key attributes in high level components of the trees. When we run several data mining methods again with the data set of chosen key attributes, the detection rates of most data mining methods are higher than before. We prove that our selected attack attributes, and the proposed detection process, are efficient and suitable for intrusion detection in the smart grid environment.

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Section: Attack Methodsmentioning

confidence: 99%

Intrusion Detection of NSM Based DoS Attacks Using Data Mining in Smart Grid

Choi

Chen

et al. 2012

Energies

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“…Additionally, the work focuses on representing actions, while neglecting other incident characteristics (e.g., intent, resources) that can be useful during digital forensic investigations. Chen et al [20] use Petri nets as a modeling formalism to represent cyber-physical attacks on a smart grid. The approach represents concurrent physical and digital events to represent coordinated attacks performed by multiple attackers working in parallel.…”

Section: Related Workmentioning

confidence: 99%

I've seen this before

Alrimawi

Pasquale

Mehta

et al. 2018

Proceedings of the 1st International Workshop on Security Awareness From Design to Deployment

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An increasing number of security incidents in cyber-physical systems (CPSs) arise from the exploitation of cyber and physical components of such systems. Knowledge about how such incidents arose is rarely captured and used systematically to enhance security and support future incident investigations. In this paper, we propose an approach to represent and share incidents knowledge. Our approach captures incident patterns -common aspects of incidents occurring in different CPSs. Our approach then allows incident patterns to be instantiated for different systems to assess if and how such patterns can manifest again. To support our approach, we provide two meta-models that represent, respectively, incident patterns and the cyber-physical systems themselves. The incident meta-model captures the characteristics of incidents, such as assets and activities. The system meta-model captures cyber and physical components and their interactions, which may be exploited during an incident. We demonstrate the feasibility of our approach in the application domain of smart buildings, by tailoring the system meta-model to represent components and interactions in this domain. CCS CONCEPTS• Software and its engineering → Model-driven software engineering KEYWORDS

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“…In this regard, Petri Nets (PNs) were originally introduced as a modelling technique for concurrent systems [8].These nets can model specific cyber-physical attacks on smart grid [ 9 ]. Taking software protection as objective, Wang et al [10] focused on coloured PN based attack modelling.…”

Section: B Attack Modellingmentioning

confidence: 99%

Attack simulation based software protection assessment method

Zhang

Falcarin

Gómez-Martínez

et al. 2016

2016 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)

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Abstract-Software protection is an essential aspect of information security to withstand malicious activities on software, and preserving software assets. However, software developers still lacks a methodology for the assessment of the deployed protections. To solve these issues, we present a novel attack simulation based software protection assessment method to assess and compare various protection solutions. Our solution relies on Petri Nets to specify and visualize attack models, and we developed a Monte Carlo based approach to simulate attacking processes and to deal with uncertainty. Then, based on this simulation and estimation, a novel protection comparison model is proposed to compare different protection solutions. Lastly, our attack simulation based software protection assessment method is presented. We illustrate our method by means of a software protection assessment process to demonstrate that our approach can provide a suitable software protection assessment for developers and software companies.

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Petri Net Modeling of Cyber-Physical Attacks on Smart Grid

Cited by 228 publications

References 36 publications

Intrusion Detection of NSM Based DoS Attacks Using Data Mining in Smart Grid

Intrusion Detection of NSM Based DoS Attacks Using Data Mining in Smart Grid

I've seen this before

Attack simulation based software protection assessment method

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