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Author: Gaurav Shivaji Wagh
Publisher:
ISBN:
Category : Privacy
Languages : en
Pages : 0
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Book Description
"The smart grid is an outcome of integrating communication technologies with traditional electrical systems. This enables the collection of granular metering data from the customer domain for providing grid and billing functionalities. However, the data collection process exposes the grid to various cyberattacks, posing a significant threat to customer privacy. This is a critical concern for the smart grid community and has hindered the global adoption of the smart grid technology. Although aggregation-based frameworks show promise for sharing metering data with the Electrical Service Provider while maintaining customer privacy, existing aggregation-based frameworks have several limitations. Some of these limitations include a high computational overhead on resource-constrained smart meters, susceptibility to single points of compromise due to dependency on a centralized entity, lack of support for dynamic billing functionality, and the absence of integrity verification capabilities for spatial and temporal metering data. To address the aforementioned limitations, we propose a distributed privacy-preserving framework for the smart grid that utilizes secret sharing, commitments, and secure multiparty computation. The framework consists of smart meters employing secret sharing and commitments to outsource their data to multiple aggregating entities, known as Dedicated Aggregators. These Dedicated Aggregators utilize secure multiparty computation to perform spatial aggregation in a privacy-preserving manner and report the aggregated readings to the Electrical Service Provider. By offloading most computations to the Dedicated Aggregators, our framework ensures that it remains lightweight for the smart meters. The introduction of multiple Dedicated Aggregators also aids in mitigating concerns associated with single points of compromise. Additionally, we have adapted the framework to support temporal aggregation, enabling dynamic billing functionalities while preserving customer privacy. The temporal aggregation process is integrated with the spatial aggregation process, thus imposing no additional computational overhead on the smart meters. The framework is designed to cater to both semi-honest and malicious adversarial settings, and works even in the presence of a majority of dishonest Dedicated Aggregators. In the event that some Dedicated Aggregators deviate from the normal execution of computing spatial and/or temporal aggregation by making modifications to metering data, the Electrical Service Provider can detect and respond to such modifications in a privacy-preserving manner. This dissertation presents our proposed framework and conducts a comprehensive analysis of it under different configurations. We develop a proof of concept to illustrate the practicality of implementing our framework in a real-world setting. We also compare its performance with other related works in the literature, evaluating the end-to-end delay for spatial aggregation. Additionally, we analyze the computational overhead on the smart meters in an embedded environment for various framework designs. The resilience of our proposed framework is analyzed against security and privacy threats. Finally, we identify future research directions to extend the capabilities of our framework."--Abstract.
Author: Gaurav Shivaji Wagh
Publisher:
ISBN:
Category : Privacy
Languages : en
Pages : 0
Get Book Here
Book Description
"The smart grid is an outcome of integrating communication technologies with traditional electrical systems. This enables the collection of granular metering data from the customer domain for providing grid and billing functionalities. However, the data collection process exposes the grid to various cyberattacks, posing a significant threat to customer privacy. This is a critical concern for the smart grid community and has hindered the global adoption of the smart grid technology. Although aggregation-based frameworks show promise for sharing metering data with the Electrical Service Provider while maintaining customer privacy, existing aggregation-based frameworks have several limitations. Some of these limitations include a high computational overhead on resource-constrained smart meters, susceptibility to single points of compromise due to dependency on a centralized entity, lack of support for dynamic billing functionality, and the absence of integrity verification capabilities for spatial and temporal metering data. To address the aforementioned limitations, we propose a distributed privacy-preserving framework for the smart grid that utilizes secret sharing, commitments, and secure multiparty computation. The framework consists of smart meters employing secret sharing and commitments to outsource their data to multiple aggregating entities, known as Dedicated Aggregators. These Dedicated Aggregators utilize secure multiparty computation to perform spatial aggregation in a privacy-preserving manner and report the aggregated readings to the Electrical Service Provider. By offloading most computations to the Dedicated Aggregators, our framework ensures that it remains lightweight for the smart meters. The introduction of multiple Dedicated Aggregators also aids in mitigating concerns associated with single points of compromise. Additionally, we have adapted the framework to support temporal aggregation, enabling dynamic billing functionalities while preserving customer privacy. The temporal aggregation process is integrated with the spatial aggregation process, thus imposing no additional computational overhead on the smart meters. The framework is designed to cater to both semi-honest and malicious adversarial settings, and works even in the presence of a majority of dishonest Dedicated Aggregators. In the event that some Dedicated Aggregators deviate from the normal execution of computing spatial and/or temporal aggregation by making modifications to metering data, the Electrical Service Provider can detect and respond to such modifications in a privacy-preserving manner. This dissertation presents our proposed framework and conducts a comprehensive analysis of it under different configurations. We develop a proof of concept to illustrate the practicality of implementing our framework in a real-world setting. We also compare its performance with other related works in the literature, evaluating the end-to-end delay for spatial aggregation. Additionally, we analyze the computational overhead on the smart meters in an embedded environment for various framework designs. The resilience of our proposed framework is analyzed against security and privacy threats. Finally, we identify future research directions to extend the capabilities of our framework."--Abstract.
Author: Yang Xiao
Publisher: CRC Press
ISBN: 143987784X
Category : Computers
Languages : en
Pages : 321
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Book Description
Presenting the work of prominent researchers working on smart grids and related fields around the world, Security and Privacy in Smart Grids identifies state-of-the-art approaches and novel technologies for smart grid communication and security. It investigates the fundamental aspects and applications of smart grid security and privacy and reports
Author: Rebecca Herold
Publisher: CRC Press
ISBN: 1000219003
Category : Business & Economics
Languages : en
Pages : 227
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Book Description
Privacy for the Smart Grid provides easy-to-understand guidance on data privacy issues and the implications for creating privacy risk management programs, along with privacy policies and practices required to ensure Smart Grid privacy. It addresses privacy in electric, natural gas, and water grids from two different perspectives of the topic, one from a Smart Grid expert and another from a privacy and information security expert. While considering privacy in the Smart Grid, the book also examines the data created by Smart Grid technologies and machine-to-machine applications.
Author: Khalid Alharbi
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
While smart grid introduces a lot of enhancements to the traditional power grid and improves managing and controlling consumers demands, it also introduces security and privacy issues. Therefore, failure to address them will hinder the flourish of smart grid. In this thesis, we propose a novel framework for privacy-preserving data sharing in smart grid using a combination of homomorphic encryption and proxy re-encryption. The proposed framework allows distributed energy resources to be able to analyze the consumers data while preserving the consumers privacy. To the best of our knowledge, the proposed framework is first attempt to consider an important problem concerning data sharing in smart grid. Furthermore, in order to effectively collect consumer (or household) electricity consumption data, we also propose an efficient lightweight privacy- preserving data aggregation scheme, called ELPDA, for smart grid. The proposed scheme aims at resolving the power consumption data security and residential consumer privacy by employing one-time masking technique to protect consumers privacy while achieving lightweight data aggregation. Moreover, we study the situation in which gateways aggregating consumers' data become malicious. Then, we propose a security-enhanced data aggregation scheme for smart grid communications from a homomorphic cryptosystem, trapdoor hash functions and homomorphic authenticators. The distinctive feature of our scheme achieves data confidentiality and integrity against the malicious aggregator (e.g. gateway), meaning that the aggregator is not able to learn the privacy of users or corrupt the power consumption reports during the aggregation process. In addition to the above schemes for smart grid upnlink communications, we propose an efficient and privacy-preserving scheme in order to protect smart grid in downlink communications. Specifically, we propose an efficient identity based signcryption, called EIBSC, providing privacy preservation in downlink communication for smart grids. The proposed scheme is characterized by employing the concealing destination technique on the tree-based network to protect consumer privacy in downlink communication. Furthermore, the proposed scheme employs identity based signcryption to efficiently achieve downlink message source authentication, data integrity and confidentiality. Additionally, compared to other identity-based signcryption schemes, the proposed scheme is more efficient in regards to computational overhead and ciphertext size. Furthermore, security analysis demonstrates that the proposed scheme is resilient against various security threats to smart grids.
Author: Ehab Al-Shaer
Publisher: Springer
ISBN: 3319328719
Category : Computers
Languages : en
Pages : 156
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Book Description
This book targets the key concern of protecting critical infrastructures such as smart grids. It explains various static and dynamic security analysis techniques that can automatically verify smart grid security and resiliency and identify potential attacks in a proactive manner. This book includes three main sections. The first presents the idea of formally verifying the compliance of smart grid configurations with the security and resiliency guidelines. It provides a formal framework that verifies the compliance of the advanced metering infrastructure (AMI) configurations with the security and resiliency requirements, and generates remediation plans for potential security violations. The second section covers the formal verification of the security and resiliency of smart grid control systems by using a formal model to analyze attack evasions on state estimation, a core control module of the supervisory control system in smart grids. The model identifies attack vectors that can compromise state estimation. This section also covers risk mitigation techniques that synthesize proactive security plans that make such attacks infeasible. The last part of the book discusses the dynamic security analysis for smart grids. It shows that AMI behavior can be modeled using event logs collected at smart collectors, which in turn can be verified using the specification invariants generated from the configurations of the AMI devices. Although the focus of this book is smart grid security and resiliency, the included formal analytics are generic enough to be extended to other cyber-physical systems, especially those related to industrial control systems (ICS). Therefore, industry professionals and academic researchers will find this book an exceptional resource to learn theoretical and practical aspects of applying formal methods for the protection of critical infrastructures.
Author: Anne V. D. M. Kayem
Publisher: Springer
ISBN: 3319914278
Category : Computers
Languages : en
Pages : 174
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Book Description
This book is centered on Smart grids and micro-grids, as a cost-effective method of ensuring fair and equitable access to power in urban areas. It also considers scenarios where deploying smart grids can be both cost-prohibitively expensive and logistically challenging. Deploying smart microgrids instead, offers a reliable power solution but, as is the case in smart grids, a key issue is guaranteeing usability, trust, and reliability while protecting against energy theft. This book considers aspects such as state estimation, capacity planning, demand forecasting, price signals, and demand management with respect to energy theft. Straight-forward approaches to provoking energy theft on smart grids and micro-grids include mis-recordings power consumption/generation information and exposures of personally identifiable information or sensitive information. Attack models based on mis-recorded generation and/or consumption data and exposure of personally identifiable information, are also studied. In each case, countermeasures are proposed to circumvent the power theft attacks raised. Researchers in Smart Micro-grids security, cyber-physical systems, and critical infrastructure will want to purchase this book as a reference. Professionals, Researchers, Academics and students working in security general and Security of Critical Infrastructure, Privacy, and Data Sharing will also want to purchase this book as a reference.
Author: Asmaa Abdallah
Publisher: Springer
ISBN: 3319936778
Category : Computers
Languages : en
Pages : 136
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Book Description
This SpringerBrief addresses the main security concerns for smart grid, e.g., the privacy of electricity consumers, the exchanged messages integrity and confidentiality, the authenticity of participated parties, and the false data injection attacks. Moreover, the authors demonstrate in detail the various proposed techniques to secure the smart grid’s different communication networks and preserve the privacy of the involved. Over many years, power grid has generated electricity from central generators and distributed it in one direction from the generation stations to end-users; also, information is one directional so that the grid’s control center doesn’t get enough information about customers’ requirements and consequently can’t prevent electricity losses. So, the electricity grid is merged with information and communication technology to form smart grid. The main target of this incorporation is to connect different parties of power grid to exchange information about grid conditions and customers’ requirements, and consequently, improve the reliability and efficiency of electricity generation and distribution. That upgrade of the power grid exposes it to the cyber security threats that the communication networks suffer from, such as malicious attacks to forge the electricity consumption readings or price, extract personal information for residential consumers, such as daily habits and life style, or attack some grid’s resources and equipment availability using denial-of-service attacks. Also, novel threats are introduced in smart grid due to the power grid nature, such as false data injection attack, in which the adversary compromises several measurement units and injects false information about the grid conditions that mislead the grid’s control center to make wrong decisions for the grid and consequently impact on its stability and efficiency.
Author: Fábio Borges de Oliveira
Publisher: Springer
ISBN: 331940718X
Category : Technology & Engineering
Languages : en
Pages : 164
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Book Description
This book presents current research in privacy-preserving protocols for smart grids. It contains several approaches and compares them analytically and by means of simulation. In particular, the book introduces asymmetric DC-Nets, which offer an ideal combination of performance and features in comparison with homomorphic encryption; data anonymization via cryptographic protocols; and data obfuscation by means of noise injection or by means of the installation of storage banks. The author shows that this theory can be leveraged into several application scenarios, and how asymmetric DC-Nets are generalizations of additive homomorphic encryption schemes and abstractions of symmetric DC-Nets. The book provides the reader with an understanding about smart grid scenarios, the privacy problem, and the mathematics and algorithms used to solve it.
Author: Gilbert N. Sorebo
Publisher: CRC Press
ISBN: 146651650X
Category : Computers
Languages : en
Pages : 331
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Book Description
The Smart Grid has the potential to revolutionize electricity delivery systems, and the security of its infrastructure is a vital concern not only for cyber-security practitioners, engineers, policy makers, and utility executives, but also for the media and consumers. Smart Grid Security: An End-to-End View of Security in the New Electrical Grid explores the important techniques, challenges, and forces that will shape how we achieve a secure twenty-first century electric grid. Includes a Foreword by Michael Assante, President and CEO, National Board of Information Security Examiners Following an overview of the components of the Smart Grid, the book delves into the evolution of security standards and regulations and examines ways in which the Smart Grid might be regulated. The authors discuss the technical details about how metering technology is being implemented and the likely threats and vulnerabilities that utilities will face. They address the home area network (HAN) and examine distribution and transmission—the foundation for the delivery of electricity, along with distributed generation, micro-grids, and operations. The book explores future concepts—such as energy storage and the use of plug-in electric vehicles (PEVs)—in addition to the concomitant risk for fraud and manipulation with stored energy. Consumer-related issues are discussed as they pertain to emerging ways of receiving and generating energy. The book examines dysfunctions ranging from inadvertent outages to cyber-attack and presents recommendations on how to respond to these incidents. It concludes with speculation of future cyber-security challenges and discusses new ways that the grid can be defended, such as better key management and protection. Written in a style rigorous enough for the practitioner yet accessible to a broad audience, this comprehensive volume covers a topic that is becoming more critical to industry and consumers everywhere.
Author: Hongwei Li
Publisher: Springer Science & Business Media
ISBN: 3319049453
Category : Computers
Languages : en
Pages : 74
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Book Description
This brief focuses on the current research on security and privacy preservation in smart grids. Along with a review of the existing works, this brief includes fundamental system models, possible frameworks, useful performance, and future research directions. It explores privacy preservation demand response with adaptive key evolution, secure and efficient Merkle tree based authentication, and fine-grained keywords comparison in the smart grid auction market. By examining the current and potential security and privacy threats, the author equips readers to understand the developing issues in smart grids. The brief is designed for researchers and professionals working with computer communication networks and smart grids. Graduate students interested in networks and communication engineering will also find the brief an essential resource.
