Graph-based Model of Smart Grid Architectures

Klaer, Benedikt; Sen, Ömer; Velde, Dennis van der; Hacker, Immanuel; Andres, Michael; Henze, Martin

doi:10.1109/sest48500.2020.9203113

Cited by 14 publications

(11 citation statements)

References 16 publications

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“…In the following, we evaluate and discuss the performance of DOMCA concerning the reconstruction of multi-staged attacks within a simulation environment according to [11].…”

Section: Evaluation and Discussionmentioning

confidence: 99%

“…For the investigation, attack scenarios are simulated in an SG simulation environment according to [11] with different strategies, each representing a Havex, Stuxnet, randomized (performing random attack actions), or no attack incident. The network parameters that can be modified to include the vulnerability of individual hosts, the configuration of hosts with no vulnerability (no successful access attempts), and hosts that are explicitly vulnerable to remote access attempts.…”

Section: A Procedures For the Investigationmentioning

confidence: 99%

“…Common approaches to address this challenge are based on Security Information and Event Management (SIEM) systems that aggregate and correlate from different IDSs to provide real-time traffic analysis, early detection of attack-related events, and event correlation. However, process networks in power grids offer special advantages in detecting implausible events and anomalies in the process environment due to the static network structure, deterministic data traffic, and physically constrained process information [11].…”

Section: Introductionmentioning

confidence: 99%

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

Sen,

van der Velde,

Wehrmeister

et al. 2021

Preprint

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Electric power grids are at risk of being compromised by high-impact cyber-security threats such as coordinated, timed attacks. Navigating this new threat landscape requires a deep understanding of the potential risks and complex attack processes in energy information systems, which in turn demands an unmanageable manual effort to timely process a large amount of cross-domain information. To provide an adequate basis to contextually assess and understand the situation of smart grids in case of coordinated cyber-attacks, we need a systematic and coherent approach to identify cyber incidents. In this paper, we present an approach that collects and correlates cross-domain cyber threat information to detect multi-stage cyber-attacks in energy information systems. We investigate the applicability and performance of the presented correlation approach and discuss the results to highlight challenges in domain-specific detection mechanisms.

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“…In the following, we evaluate and discuss the performance of DOMCA concerning the reconstruction of multi-staged attacks within a simulation environment according to [11].…”

Section: Evaluation and Discussionmentioning

confidence: 99%

Section: A Procedures For the Investigationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Sen,

van der Velde,

Wehrmeister

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

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“…The energy sector is another area where graph modeling has been applied extensively [31,75,119], with nodes being the components of both the transmission and distribution grids, and edges representing their physical connections and the flow of electricity between them.…”

Section: Energymentioning

confidence: 99%

Private Graph Data Release: A Survey

Yang¹,

Purcell²,

Rakotoarivelo³

et al. 2021

Preprint

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The application of graph analytics to various domains have yielded tremendous societal and economical benefits in recent years. However, the increasingly widespread adoption of graph analytics comes with a commensurate increase in the need to protect private information in graph databases, especially in light of the many privacy breaches in real-world graph data that was supposed to preserve sensitive information. This paper provides a comprehensive survey of private graph data release algorithms that seek to achieve the fine balance between privacy and utility, with a specific focus on provably private mechanisms. Many of these mechanisms fall under natural extensions of the Differential Privacy framework to graph data, but we also investigate more general privacy formulations like Pufferfish Privacy that can deal with the limitations of Differential Privacy. A wide-ranging survey of the applications of private graph data release mechanisms to social networks, finance, supply chain, health and energy is also provided. This survey paper and the taxonomy it provides should benefit practitioners and researchers alike in the increasingly important area of private graph data release and analysis.

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“…However, extending the grid by adding new lines is prohibitively expensive and often slowed down, e.g., by regulations or resistance of residents. Fortunately, digital technology can aid in better utilizing the existing grid, leading to an increased deployment of digital technology to control, monitor, and maintain transmission and distribution of power [ 2 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Cybersecurity in Power Grids: Challenges and Opportunities

Krause

Ernst

Klaer

et al. 2021

Sensors

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Increasing volatilities within power transmission and distribution force power grid operators to amplify their use of communication infrastructure to monitor and control their grid. The resulting increase in communication creates a larger attack surface for malicious actors. Indeed, cyber attacks on power grids have already succeeded in causing temporary, large-scale blackouts in the recent past. In this paper, we analyze the communication infrastructure of power grids to derive resulting fundamental challenges of power grids with respect to cybersecurity. Based on these challenges, we identify a broad set of resulting attack vectors and attack scenarios that threaten the security of power grids. To address these challenges, we propose to rely on a defense-in-depth strategy, which encompasses measures for (i) device and application security, (ii) network security, and (iii) physical security, as well as (iv) policies, procedures, and awareness. For each of these categories, we distill and discuss a comprehensive set of state-of-the art approaches, as well as identify further opportunities to strengthen cybersecurity in interconnected power grids.

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Graph-based Model of Smart Grid Architectures

Cited by 14 publications

References 16 publications

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

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

Private Graph Data Release: A Survey

Cybersecurity in Power Grids: Challenges and Opportunities

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