Data Protection in a Cloud-enabled Smart Grid (original) (raw)

A Secure Cloud Computing based Framework for Big Data Information management of smart Grids

IJARCCE

A smart grid is an electricity network that uses digital and other advanced technologies to monitor and manage the transport of electricity from all generation sources to meet the varying electricity demands of end-users It possesses demand response capacity to help balance electrical consumption with supply. It is pointed out that there are tenacious economic as well as environmental urgings for the refurbishment of the conventional power systems, and its replacement with a Smart Electrical Power Grid or simply Smart Grid. 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. Smart grid is an electric grid which includes a variety of operational and energy measures including smart meters, smart appliances which are used to measure the power consumption of those devices, and it consists of renewable energy resources, and energy efficiency resources which can be used by those devices. In this paper, we propose a cloud computing based framework for big data information and a security solution based on identity-based encryption, signature and proxy re-encryption to address critical security issues of the proposed framework.

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

International Journal of Engineering Research and Technology (IJERT), 2018

https://www.ijert.org/a-secure-cloud-computing-based-framework-for-big-data-information-management-of-smart-grid https://www.ijert.org/research/a-secure-cloud-computing-based-framework-for-big-data-information-management-of-smart-grid-IJERTCONV6IS14054.pdf 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.

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

IEEE Transactions on Cloud Computing, 2015

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.

IJERT-Cloud Based Smart Metering Security Access and Monitoring System in the Real Time Environment

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/cloud-based-smart-metering-security-access-and-monitoring-system-in-the-real-time-environment https://www.ijert.org/research/cloud-based-smart-metering-security-access-and-monitoring-system-in-the-real-time-environment-IJERTV3IS20678.pdf Smart grid, envisioned as an indispensable power infrastructure, is featured by real-time and two-way communications. However, how to securely retrieve and audit the communicated metering data for validation testing is still challenging for smart grid.The present electric power system structure has lasted for decades; it is still partially proprietary, energy inefficient, physically and virtually (or cyber) insecure, as well as prone to power transmission congestion and consequent failures. Recent efforts in building a smart grid system have focused on addressing the problems of global warming effects, rising energy-hungry demands, and risks of peak loads. One of the major goals of the new system is to effectively regulate energy usage by utilizing the backbone of the prospectively deployed Automatic Meter Reading (AMR), Advanced Meter Infrastructure (AMI), and Demand Response (DR) programs via the advanced distribution automation and dynamic pricing models, Cloud Computing is the long dreamed vision of computing as a utility, where users can remotely store their data into the cloud so as to enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources. By data outsourcing, users can be relieved from the burden of local data storage and maintenance.

Cloud Based Smart Metering Security Access and Monitoring System in the Real Time Environment

2014

Smart grid, envisioned as an indispensable power infrastructure, is featured by real-time and two-way communications. However, how to securely retrieve and audit the communicated metering data for validation testing is still challenging for smart grid.The present electric power system structure has lasted for decades; it is still partially proprietary, energy inefficient, physically and virtually (or cyber) insecure, as well as prone to power transmission congestion and consequent failures. Recent efforts in building a smart grid system have focused on addressing the problems of global warming effects, rising energy-hungry demands, and risks of peak loads. One of the major goals of the new system is to effectively regulate energy usage by utilizing the backbone of the prospectively deployed Automatic Meter Reading (AMR), Advanced Meter Infrastructure (AMI), and Demand Response (DR) programs via the advanced distribution automation and dynamic pricing models, Cloud Computing is the long dreamed vision of computing as a utility, where users can remotely store their data into the cloud so as to enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources. By data outsourcing, users can be relieved from the burden of local data storage and maintenance.

Smart-frame: A flexible, scalable, and secure information management framework for smart grids

Smart grid is a technological innovation that im proves efficiency, reliability, economics, and sustainability of elec tricity services. It plays a very important 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 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 introduce a design of a cloud computing based framework for information management in smart grids. Additionally, to address security issues of the smart grids, we present a security solution for our framework using hierarchical identity-based cryptography.

Towards Privacy Protection in Smart Grid

Wireless Personal Communications, 2012

The smart grid is an electronically controlled electrical grid that connects power generation, transmission, distribution, and consumers using information communication technologies. One of the key characteristics of the smart grid is its support for bi-directional information flow between the consumer of electricity and the utility provider. This two-way interaction allows electricity to be generated in real-time based on consumers' demands and power requests. As a result, consumer privacy becomes an important concern when collecting energy usage data with the deployment and adoption of smart grid technologies. To protect such sensitive information it is imperative that privacy protection mechanisms be used to protect the privacy of smart grid users. We present an analysis of recently proposed smart grid privacy solutions and identify their strengths and weaknesses in terms of their implementation complexity, efficiency, robustness, and simplicity.

SMART METERING AND DATA PRIVACY ISSUES

Growing energy consumption enforces initiatives that look for alternatives aimed at better energy management and load balancing. Smart metering is a topic that meets these expectations and it seems to provide a value added for both, suppliers and customers. In this paper we focus on different issues of data and privacy protection for smart grids. In particular, we discuss security concerns related to system architecture, possible means of data protection and demonstrate the main research challenges in privacy assurance for smart grids.

An Analysis of Security and Privacy Issues in Smart Grid Software Architectures on Clouds

2011 IEEE 4th International Conference on Cloud Computing, 2011

Power utilities globally are increasingly upgrading to Smart Grids that use bi-directional communication with the consumer to enable an information-driven approach to distributed energy management. Clouds offer features well suited for Smart Grid software platforms and applications, such as elastic resources and shared services. However, the security and privacy concerns inherent in an informationrich Smart Grid environment are further exacerbated by their deployment on Clouds. Here, we present an analysis of security and privacy issues in a Smart Grids software architecture operating on different Cloud environments, in the form of a taxonomy. We use the Los Angeles Smart Grid Project that is underway in the largest U.S. municipal utility to drive this analysis that will benefit both Cloud practitioners targeting Smart Grid applications, and Cloud researchers investigating security and privacy.