Privacy-preserving smart metering with regional statistics and personal enquiry services

Chu, Cheng-Kang; Liu, Joseph K.; Wong, Jun Wen; Zhao, Yunlei; Zhou, Jianying

doi:10.1145/2484313.2484362

Cited by 24 publications

(12 citation statements)

References 43 publications

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“…Other criteria in smart grid systems include identity anonymization as a way to conceal users' real identities by exploiting zero knowledge proof, pseudonyms, and various kinds of signature schemes [32,[51][52][53][54][55][56][57]. Wang et al [57] proposed an anonymous aggregation scheme in a fog computing environment by exploiting the Castagnos-Laguillaumie cryptosystem.…”

Section: Privacy-preserving Aggregation With Authenticationmentioning

confidence: 99%

Privacy-Preserving Aggregation and Authentication of Multi-Source Smart Meters in a Smart Grid System

2017

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Abstract:The smart grid is a promising electrical grid paradigm for enhancing flexibility and reliability in power transmission through two-way communications among grid entities. In the smart grid system, the privacy of usage information measured by individual smart meters has gained significant attention, owing to the possibility of personal information inference. Moreover, efficient and reliable power provisioning can be seriously impeded through illicit manipulations of aggregated data under the influence of malicious adversaries. Due to such potential risks, it becomes an important requirement for the smart grid to preserve privacy of metering data by secure aggregation and to authenticate the aggregated result in an efficient manner within large scale environments. From this perspective, this paper investigates the current status of security and privacy in smart grid systems and representative state-of-the-art studies in secure aggregation and authentication of metering data for future directions of a smart grid.

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Section: Privacy-preserving Aggregation With Authenticationmentioning

confidence: 99%

Privacy-Preserving Aggregation and Authentication of Multi-Source Smart Meters in a Smart Grid System

2017

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“…Since any security breach in smart grids may lead to a big loss, there are initiatives to address security challenges in this type of systems. For examples, authors of [32], [15], [27] and [8] proposed different methods to address the security issues related to information processing of smart meters while Zhang et al [49] and Wei et al [48] respectively introduced security frameworks to control the consistency of security requirements across all smart grid components and to protect smart grids against cyber attacks. On the other hand, the Metke and Ekl [35] discussed key components for security in smart grids and Rogers et al [39] presented an authentication and integrity approach that used digital signatures and timestamps.…”

Section: Other Approaches To Smart Grid Securitymentioning

confidence: 99%

A Secure Cloud Computing Based Framework for Big Data Information Management of Smart Grid

Baek

Liu

et al. 2015

IEEE Trans. Cloud Comput.

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224

100

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Smart grid is a technological innovation that improves efficiency, reliability, economics, and sustainability of electricity services. It plays a crucial role in modern energy infrastructure. The main challenges of smart grids, however, are how to manage different types of front-end intelligent devices such as power assets and smart meters efficiently; and how to process a huge amount of data received from these devices. Cloud computing, a technology that provides computational resources on demands, is a good candidate to address these challenges since it has several good properties such as energy saving, cost saving, agility, scalability and flexibility. In this paper, we propose a secure cloud computing based framework for big data information management in smart grids, which we call "Smart-Frame." The main idea of our framework is to build a hierarchical structure of cloud computing centers to provide different types of computing services for information management and big data analysis. In addition to this structural framework, we present a security solution based on identity-based encryption, signature and proxy re-encryption to address critical security issues of the proposed framework.

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“…The proposed ECS and GECS problems assume all of the appliances are continuously on in a specified number of time slots. Occasionally, an agent may intend to turn on an appliance multiple times out of the entire n time slots; for instance, in a 12-h scheduling (n = 12 and 1 h each time slot), if agent i plans to run the washer (its j-th appliance) for 4 h in total, but 2 h in the morning (k ∈ [1,4]) and 2 h in the evening (k ∈ [9,12]). We can formulate two sets of constraints for such appliance in the scheduling as ∀k ∈ [1,4], ∑ 4 k=1 x ijk = 2 and ∀k ∈ [9,12], ∑ 4 k=1 x ijk = 2.…”

Section: Running Multiple Timesmentioning

confidence: 99%

“…Analyzing such fine-grained meter readings (viz. the energy demand) functions for many applications for electric utilities and consumers on the grid, such as load forecasting [2], billing [3], regional statistics [4] and energy theft detection [5].…”

Section: Introductionmentioning

confidence: 99%

Efficient Energy Consumption Scheduling: Towards Effective Load Leveling

2017

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Different agents in the smart grid infrastructure (e.g., households, buildings, communities) consume energy with their own appliances, which may have adjustable usage schedules over a day, a month, a season or even a year. One of the major objectives of the smart grid is to flatten the demand load of numerous agents (viz. consumers), such that the peak load can be avoided and power supply can feed the demand load at anytime on the grid. To this end, we propose two Energy Consumption Scheduling (ECS) problems for the appliances held by different agents at the demand side to effectively facilitate load leveling. Specifically, we mathematically model the ECS problems as Mixed-Integer Programming (MIP) problems using the data collected from different agents (e.g., their appliances' energy consumption in every time slot and the total number of required in-use time slots, specific preferences of the in-use time slots for their appliances). Furthermore, we propose a novel algorithm to efficiently and effectively solve the ECS problems with large-scale inputs (which are NP-hard). The experimental results demonstrate that our approach is significantly more efficient than standard benchmarks, such as CPLEX, while guaranteeing near-optimal outputs.

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Privacy-preserving smart metering with regional statistics and personal enquiry services

Cited by 24 publications

References 43 publications

Privacy-Preserving Aggregation and Authentication of Multi-Source Smart Meters in a Smart Grid System

Privacy-Preserving Aggregation and Authentication of Multi-Source Smart Meters in a Smart Grid System

A Secure Cloud Computing Based Framework for Big Data Information Management of Smart Grid

Efficient Energy Consumption Scheduling: Towards Effective Load Leveling

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