Cyber-Attacks on Smart Meters in Household Nanogrid: Modeling, Simulation and Analysis

Tellbach, Denise; Li, Yan‐Fu

doi:10.3390/en11020316

Cited by 23 publications

(12 citation statements)

References 19 publications

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“…Tellbach-Li presented cyber-attacks on smart meters in a household nanogrid [61]. The authors developed and simulated a network model for a nanogrid, which is closed to a realworld scenario.…”

Section: Attacks On Metering Networkmentioning

confidence: 99%

“…In our modeling, the system (e.g., smart meter, gateway, router, sensors, and so on) is one of the facilitators of the attack. In most of studies (e.g., [59], [60], [61]), a system is one of the weakest points in a threat chain, and is an entry point for the attacker. An adversary can explore and detect plenty of the weakest links/features of a target system to mount the attacks on SG metering network.…”

Section: A2 Vulnerabilities In Sg Metering Networkmentioning

confidence: 99%

“…1) Vulnerabilities in the embedded systems: In [60], [61], a number of vulnerabilities in the embedded hardware have been reported in SG metering systems, e.g., lack of tamper protection, weak encryption module and algorithm, hardware design flaws, etc. In addition, numbers of embedded software flaws have been discussed in the smart metering systems, such as bugs in [67], [68], malware and lack of software update in [69].…”

Section: A2 Vulnerabilities In Sg Metering Networkmentioning

confidence: 99%

See 2 more Smart Citations

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

Kumar

Lin

Bai

et al. 2019

IEEE Commun. Surv. Tutorials

260

115

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Smart grid (SG) networks are newly upgraded networks of connected objects that greatly improve reliability, efficiency and sustainability of the traditional energy infrastructure. In this respect, the smart metering infrastructure (SMI) plays an important role in controlling, monitoring and managing multiple domains in the SG. Despite the salient features of SMI, security and privacy issues have been under debate because of the large number of heterogeneous devices that are anticipated to be coordinated through public communication networks. This survey paper shows a brief overview of real cyber attack incidents in traditional energy networks and those targeting the smart metering network. Specifically, we present a threat taxonomy considering: (i) threats in system-level security, (ii) threats and/or theft of services, and (iii) threats to privacy. Based on the presented threats, we derive a set of security and privacy requirements for SG metering networks. Furthermore, we discuss various schemes that have been proposed to address these threats, considering the pros and cons of each. Finally, we investigate the open research issues to shed new light on future research directions in smart grid metering networks.

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Section: Attacks On Metering Networkmentioning

confidence: 99%

Section: A2 Vulnerabilities In Sg Metering Networkmentioning

confidence: 99%

Section: A2 Vulnerabilities In Sg Metering Networkmentioning

confidence: 99%

See 1 more Smart Citation

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

Kumar

Lin

Bai

et al. 2019

IEEE Commun. Surv. Tutorials

260

115

View full text Add to dashboard Cite

show abstract

“…The paper identifies the key vulnerabilities, attacks and potential solutions for solar and wind units at the protocol level. Tellbach and Li [18] examine cyberattacks on smart meters in residential customers, concluding that integrity and confidentiality attacks cause monetary effects on the power grid, while availability attacks-besides monetary effects on the power grid-mainly aim at delaying or stopping the operation of smart meters. Ye et al [19] provide a quantitative vulnerability assessment of cybersecurity for distribution automation systems.…”

Section: Essential Power System Functions At Risk From Cyberattacks Imentioning

confidence: 99%

Assessing the Impact of Cybersecurity Attacks on Power Systems

Dagoumas

2019

Energies

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Cybersecurity is an emerging challenge for power systems, as it strongly affects their reliability and the whole energy system cost. The paper uses several Unit Commitments (UC) models, applying different methods to tackle renewables’ uncertainty. The selected power system is IEEE RTS 96. The UC models are used to assess the impact of different cybersecurity threats. The focus is to assess their impact on the total operating cost and the power grid adequacy to handle them. The comparison between the UC models shows that more robust UC models lead to higher total operating costs. The cost, unit dispatching, and energy mix evolution have a non-linear trend, depending on the power system characteristics and the cyberattacks types. However, the paper provides evidence of considerable price signals in the case of the examined cyberattacks. Each Transmission System Operator (TSO) should examine combinations of cyberattacks and operating conditions to identify crucial cases for system stability and power system cost operation. The applied methodology would also require substantial developments or supplementary approaches to assess cyberthreats at the distribution level.

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“…Smart meters are easiest to be attacked because of their weakness such as physical exposure, relatively simple authentication and encryption procedures, etc. (Tellbach and Li 2018). Besides, the attacks can be easily carried out with automated and distributed software intruding agents (Mishra et al 2017).…”

Section: Introductionmentioning

confidence: 99%

A zero-sum Markov Defender-attacker Game for Modeling False Pricing in Smart Grids and its Solution by Multi-agent Reinforcement Learning

Tang¹,

Fang²,

Zio³

2019

Proceedings of the 29th European Safety and Reliability Conference (ESREL)

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Consumers in smart grids are expected to engage demand-response programs by two-way communication. This makes smart grids vulnerable to cyber attacks. In this paper, we study the false pricing attacks and model the interaction between attackers and defenders using a zero-sum Markov game, where neither player has full knowledge of the game model. A multi-agent reinforcement learning method is used to solve the Markov game and find the Nash Equilibrium policies for both players. An application to a simple radial power distribution system is worked out. The results show that the proposed algorithm can help the players find mixed strategies to maximize their long-term return.

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Cyber-Attacks on Smart Meters in Household Nanogrid: Modeling, Simulation and Analysis

Cited by 23 publications

References 19 publications

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

Assessing the Impact of Cybersecurity Attacks on Power Systems

A zero-sum Markov Defender-attacker Game for Modeling False Pricing in Smart Grids and its Solution by Multi-agent Reinforcement Learning

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