Design and implementation of a secure cloud-based billing model for smart meters as an Internet of things using homomorphic cryptography

Mai, Vu; Khalil, Ibrahim

doi:10.1016/j.future.2016.06.003

Cited by 40 publications

(14 citation statements)

References 15 publications

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“…• Availability: Based on consumption usage data (i.e., SM) in the HAN, the utility supplier's is now able to balance and manage the bulk generation and consumption. In this regard, the SMs reports are significantly important for the energy feedback purposes [82]. Therefore, the availability of SMs data has become crucial for the SG metering network reliability.…”

Section: B Threat Taxonomy In Sg Metering Networkmentioning

confidence: 99%

“…Authentication and access control schemes: Authentication mechanism is paramount that provides sufficient protection against eavesdropping, and eliminates unauthorized entities [188]- [190]. Recently, a number of authentication and access control schemes have been extensively studied in smart grid applications [82], [143], [191]- [203]. Table XIII summarises different approaches on how different entities in smart grid ensures the authentication and access control.…”

Section: He Data Managementmentioning

confidence: 99%

“…In the similar line of work, Mai-Khalil designed and implemented of a secure billing model for SMs in [82]. The authors encrypted SM data using a homomorphic asymmetric cryptosystem and then, stored it on the cloud.…”

Section: He Data Managementmentioning

confidence: 99%

“…Summary: As the smart meters send sensitive information (i.e., consumption usage data) via the wireless communication technologies, cryptography-based schemes are paramount techniques to achieve privacy for information flow between the homes and utility companies. We reviewed (i) encryption schemes considering symmetric encryption [158] [159], asymmetric encryption [120], [160]- [162], and homomorphic encryption [163]- [166], and (ii) authentication and access control schemes [82], [143], [192]- [200].…”

Section: Load Management Wirelessmentioning

confidence: 99%

See 3 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

250

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: B Threat Taxonomy In Sg Metering Networkmentioning

confidence: 99%

Section: He Data Managementmentioning

confidence: 99%

Section: He Data Managementmentioning

confidence: 99%

Section: Load Management Wirelessmentioning

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

250

115

View full text Add to dashboard Cite

show abstract

“…For instance, consumption usage data is being utilized for the dynamic pricing and billing, and for energy feedback purposes. Moreover, based on the billing, the utility suppliers are now able to balance and manage bulk generation and consumption by looking at how much energy is being consumed by the consumers at different times of the day/week or what kind of tariff plan is used by a customer [2].…”

Section: Introductionmentioning

confidence: 99%

Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks

2018

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Abstract:The smart grid enables convenient data collection between smart meters and operation centers via data concentrators. However, it presents security and privacy issues for the customer. For instance, a malicious data concentrator cannot only use consumption data for malicious purposes but also can reveal life patterns of the customers. Recently, several methods in different groups (e.g., secure data aggregation, etc.) have been proposed to collect the consumption usage in a privacy-preserving manner. Nevertheless, most of the schemes either introduce computational complexities in data aggregation or fail to support privacy-preserving billing against the internal adversaries (e.g., malicious data concentrators). In this paper, we propose an efficient and privacy-preserving data aggregation scheme that supports dynamic billing and provides security against internal adversaries in the smart grid. The proposed scheme actively includes the customer in the registration process, leading to end-to-end secure data aggregation, together with accurate and dynamic billing offering privacy protection. Compared with the related work, the scheme provides a balanced trade-off between security and efficacy (i.e., low communication and computation overhead while providing robust security).

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Implementation of the expansion of sensor information storage based on the Internet of Things and cloud computing

2022

Security and Privacy

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In the era of rapid development of informatization, the Internet of Things (IoT) and cloud computing have also been born and developed, quietly changing our way of life. The application of sensors has also brought great convenience to our lives, but there are still shortcomings that need to be studied in depth. This article aims to study the application and realization of Internet and cloud computing in sensor information storage. Aiming at the problems of sensors with multiple sources of information, large amount of data concurrency and low efficiency, the single‐point data agent is clustered and clustered to achieve high availability of sensor information storage. After a series of experimental results analysis, the information storage system constructed in this article can input 12 700 pieces of information per second and output 134 pieces of information per second. Therefore, sensor information storage based on the IoT and cloud computing has higher work efficiency, safety performance and availability than other sensor information storage. The architecture of information storage based on the IoT and sensors made in this article has far‐reaching significance for the development of smart devices in the future, and has great research value.

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Design and implementation of a secure cloud-based billing model for smart meters as an Internet of things using homomorphic cryptography

Cited by 40 publications

References 15 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

Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks

Implementation of the expansion of sensor information storage based on the Internet of Things and cloud computing

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