Enhancing Privacy and Security in the Advanced Metering Infrastructure PDF Download
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 110
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 110
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Book Description
Author: Valentin Tudor
Publisher:
ISBN: 9789175976327
Category :
Languages : en
Pages : 174
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Book Description
Author: Irwin E. Reid
Publisher:
ISBN: 9781620816202
Category : Data protection
Languages : en
Pages : 0
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Book Description
Electric utilities have accelerated their deployment of smart meters to millions of homes across the United States with help from the Department of Energy's Smart Grid Investment Grant program. As the meters multiply, so do issues concerning the privacy and security of the data collected by the new technology. This Advanced Metering Infrastructure (AMI) promises to increase energy efficiency, bolster electric power grid reliability, and facilitate demand response, among other benefits. However, to fulfil these ends, smart meters must record near-real time data on consumer electricity usage and transmit the data to utilities over great distances via communications networks that serve the smart grid. This book examines the privacy and cybersecurity considerations of smart meters and the smart grid.
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: Rongxing Lu
Publisher: Springer
ISBN: 3319328999
Category : Computers
Languages : en
Pages : 191
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Book Description
This book provides an overview of security and privacy issues in smart grid communications, as well as the challenges in addressing these issues. It also introduces several privacy enhancing aggregation techniques including multidimensional data aggregation, subset data aggregation, multifunctional data aggregation, data aggregation with fault tolerance, data aggregation with differential privacy, and data aggregation with integrity protection. Offering a comprehensive exploration of various privacy preserving data aggregation techniques, this book is an exceptional resource for the academics, researchers, and graduate students seeking to exploit secure data aggregation techniques in smart grid communications and Internet of Things (IoT) scenarios.
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: MD Syeedur Rahman
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Smart meters are quickly being introduced to households all over the world. Consumers will benefit significantly from Advanced Metering Infrastructure (AMI). This high-tech equipment, however, is vulnerable to serious threats. To detect attacks, many authors recommend using Intrusion Detection Systems (IDSs). An IDS use a classifier to distinguish between known and unknown threats. It is challenging to choose the proper IDS category, however, as no single category can accurately identify all types of attacks. A smart grid's autonomous meter reading system is built on Advanced Metering Infrastructure (AMI). It blends traditional utility operations and asset management methods with wide-ranging elements of machinery, such as (a) automated metering; (b) communication networks; and (c) data management systems, to enhance the grid's interface with customers and utility providers. AMI enables smart meters and utilities to communicate in a two-way mode, regarding data such as power usage, price, upgraded firmware, remote disconnection, issue or outage detection, and exclusion notifications. One of the most significant obstacles to AMI's global acceptance is its security. We investigated the topic of detecting malicious assaults in AMI in this thesis. By the time the national Smart meter goes live, cybersecurity experts predict that four major categories of attacks will be prevalent. Data attacks affect the smart meter to cause erroneous decisions/actions, by attempting to adversely inject, change, or remove data or control commands in the networking ow. By examining energy use statistics, a privacy attack attempts to learn or infer customers' confidential information. Smart meters record power to use data numerous times each hour, and the precise data may quickly disclose consumers' private, physical activity. A network availability attack can take the form of a denial of service (DoS) attack, which will cause a delay or loss in data connection. This thesis emphasis on attacks that threaten the availability and integrity of the entire system. We describe a hierarchical, distributed approach for Smart meters, which merges the feature engineering of preprocessing with machine learning classifiers, and ne tunes the hyper-parameters, using voting classifiers to improve detection accuracy and processing time. Different types of classifiers, decision trees (DT), random forests (RF), and Naive Bayes (NB) classifiers tend to be used in this thesis. AWS Sage-Maker, AWS Sage-Maker Autopilot, and Google Colab were used to test the overall performance of the system. This thesis contributes to existing research by demonstrating how much AMI attack detection enhancing strategies, and different types of IDS techniques in AMI networks. According to analyze the output, three combined classifiers outperformed single classifiers in terms of accuracy and processing time.
Author: M. Kathiresh
Publisher: John Wiley & Sons
ISBN: 1119750423
Category : Science
Languages : en
Pages : 386
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Book Description
INTEGRATION OF RENEWABLE ENERGY SOURCES WITH SMART GRID Provides comprehensive coverage of renewable energy and its integration with smart grid technologies. This book starts with an overview of renewable energy technologies, smart grid technologies, and energy storage systems and covers the details of renewable energy integration with smart grid and the corresponding controls. It also provides an enhanced perspective on the power scenario in developing countries. The requirement of the integration of smart grid along with the energy storage systems is deeply discussed to acknowledge the importance of sustainable development of a smart city. The methodologies are made quite possible with highly efficient power convertor topologies and intelligent control schemes. These control schemes are capable of providing better control with the help of machine intelligence techniques and artificial intelligence. The book also addresses modern power convertor topologies and the corresponding control schemes for renewable energy integration with smart grid. The design and analysis of power converters that are used for the grid integration of solar PV along with simulation and experimental results are illustrated. The protection aspects of the microgrid with power electronic configurations for wind energy systems are elucidated. The book also discusses the challenges and mitigation measure in renewable energy integration with smart grid. Audience The core audience is hardware and software engineers working on renewable energy integration related projects, microgrids, smart grids and computing algorithms for converter and inverter circuits. Researchers and students in electrical, electronics and computer engineering will also benefit reading the book.
Author: Brandon J. Murrill
Publisher: CreateSpace
ISBN: 9781490524993
Category : Technology & Engineering
Languages : en
Pages : 50
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Book Description
Fueled by stimulus funding in the American Recovery and Reinvestment Act of 2009 (ARRA), electric utilities have accelerated their deployment of smart meters to millions of homes across the United States with help from the Department of Energy's Smart Grid Investment Grant program. As the meters multiply, so do issues concerning the privacy and security of the data collected by the new technology. This Advanced Metering Infrastructure (AMI) promises to increase energy efficiency, bolster electric power grid reliability, and facilitate demand response, among other benefits. However, to fulfill these ends, smart meters must record near-real time data on consumer electricity usage and transmit the data to utilities over great distances via communications networks that serve the smart grid. Detailed electricity usage data offers a window into the lives of people inside of a home by revealing what individual appliances they are using, and the transmission of the data potentially subjects this information to interception or theft by unauthorized third parties or hackers.
Author: Sukhan Lee
Publisher: Springer
ISBN: 3030190633
Category : Technology & Engineering
Languages : en
Pages : 1134
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Book Description
Over past few years, technologies have experienced boundaries getting blurred and concept of convergence to gain prominence. Harnessing from this, two main tracks for information processing management and communication are held, covering both research and application works of information management, intelligent information processing, interaction management, networking/ telecommunications, and social interaction. This book creates unique opportunity for research convergence among truly diverse technology domains of computer science. Leveraging from this diversity of topics, researchers get to generate novel research ideas by seeking application of their research in a different technology domain. This volume represents the collection of papers presented at the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM 2019), held on 4-6 January 2019 in Phuket, Thailand. Out of 228 papers submitted from all around the world 88 papers were accepted for presentations. The 88 contributions to this volume are organized into 5 chapters: Chapter 1. Network Evolution, Chapter 2. Intelligent and Secure Network, Chapter 3. Image and Video Processing, Chapter 4. Information Technology and Society, and Chapter 5. Data Mining and Learning. Our editors wish readers to find this volume informative and enjoyable.
