A Secured and Authenticated State Estimation Approach to Protect Measurements in Smart Grids

Aziz, Israa T.; Abdulqadder, Ihsan H.; Alturfi, Sabah M.; Imran, Rasool M.; Flaih, Firas M. F.

doi:10.1109/3ict51146.2020.9311984

Cited by 2 publications

(3 citation statements)

References 21 publications

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“…The system collects relevant evidence of attacks from three different information sources to minimize the number of false positives. Aziz et al (Aziz et al, 2020) rely on the results of state estimation in centralised aggregators, located between smart meters and the control center, to aid in false data detection. Bhattacharjee et al (Bhattacharjee et al, 2021b) embedded the appropriate unbiased mean, the median absolute deviation, etc.…”

Section: Related Workmentioning

confidence: 99%

“…Recently, much work has been conducted on the detection for data integrity attacks in AMI, which is mainly divided into three categories (Jiang et al, 2014;Jokar et al, 2016;Yao et al, 2019), including statebased (Huang et al, 2013;Salinas et al, 2014;Leite and Mantovani, 2018;Lo and Ansari, 2013;McLaughlin et al, 2013;Aziz et al, 2020;Bhattacharjee et al, 2021b,a), game theory-based (Cardenas et al, 2012;Yang et al, 2016;Wei et al, 2018Wei et al, , 2017Paul et al, 2020) and classificationbased (Jokar et al, 2016;Singh et al, 2017;Ismail et al, 2018;Yeckle and Tang, 2018;Zheng et al, 2018;Fernandes et al, 2019;Jakaria et al, 2019;Punmiya and Choe, 2019;Zheng et al, 2019;Rouzbahani et al, 2020;Tehrani et al, 2020;Yan and Wen, 2021). As a result of the popularity of artificial intelligence technologies, the feasibility of machine learning to detect attacks in AMI has attracted much attention of a large number of researchers.…”

Section: Introductionmentioning

confidence: 99%

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A detection model of scaling attacks considering consumption pattern diversity in AMI

Zhang

Chen²,

Liao³

2023

Front. Energy Res.

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As an important branch of the Internet of Things, the smart grid has become a crucial field of modern information technology. It realizes the two-way information flow and power flow by integrating the advanced metering infrastructure (AMI) and distributed energy resources, which greatly improves users’ participation. However, owing to smart meters, the most critical components of AMI, are deployed in an open network environment, AMI is a potential target for data integrity attacks. Among various attack types, the scaling attack is the most typical one, because it can be used as a general expression for most of other ones. By launching a scaling attack, adversaries can randomly reduce hourly reported values in smart meters, thereby causing economic losses. A number of research efforts have been devoted to detecting data integrity attacks. Nonetheless, most of the existing investigations focus on all attack types, and little attention has been paid to a detection strategy specially designed for scaling attacks. Our contribution addresses this issue in this paper and hence, developing a detection model of scaling attacks considering consumption pattern diversity (SA2CPD), to ensure that scaling attacks can be effectively detected when users have multiple consumption patterns. To be specific, we leverage Kmeans to distinguish different consumption patterns, and then the consumption intervals can be extracted to binarize the data. We divide time periods in every day into two categories based on the binarization values, and use one of them with the greatest information gain to construct a decision tree for judgment. Both theoretical and simulation results based on the GEFCom2012 dataset show that our SA2CPD model has a higher F1 score than the decision tree model without considering consumption pattern diversity, the KNN model and the Naive Bayes model.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A detection model of scaling attacks considering consumption pattern diversity in AMI

Zhang

Chen²,

Liao³

2023

Front. Energy Res.

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“…An aggregator requires that a user choose a "master password", which is then used to access a collection of all of the user's passwords for all online services. An aggregator will oftentimes provide the ability to choose randomly generated passwords and later pre-fill them for a user upon login [18]. This provides the benefit that the user only has a single password to remember, as well as removing the requirement from the user to choose many unique hard to remember passwords.…”

Section: Introductionmentioning

confidence: 99%

Bingo: A Semi-Centralized Password Storage System

Al-Aboosi

Broner

Al-Aboosi

2022

JCP

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A lack of security best practices in modern password storage has led to a dramatic rise in the number of online data breaches, resulting in financial damages and lowered trust in online service providers. This work aims to explore the question of how leveraging decentralized storage paired with a centralized point of authentication may combat such attacks. A solution, “Bingo”, is presented, which implements browser side clients which store password shares for a centralized proxy server. Bingo is a fully formed system which allows for modern browsers to store and retrieve a dynamic number of anonymized password shares, which are used when authenticating users. Thus, Bingo is the first solution to prove that distributed password storage functions in the context of the modern web. Furthermore, Bingo is evaluated in both simulation and cloud in order to show that it achieves high rates of system liveness despite its dependence on its users being active at given intervals. In addition, a novel simulator is presented which allows future researchers to mock scheduled behavior of online users. This work concludes that with the rise in online activity, decentralization may play a role in increasing data security.

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A Secured and Authenticated State Estimation Approach to Protect Measurements in Smart Grids

Cited by 2 publications

References 21 publications

A detection model of scaling attacks considering consumption pattern diversity in AMI

A detection model of scaling attacks considering consumption pattern diversity in AMI

Bingo: A Semi-Centralized Password Storage System

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