scholarly journals Data falsification attacks in advanced metering infrastructure

2021 ◽  
Vol 10 (1) ◽  
pp. 412-418
Author(s):  
Hasventhran Baskaran ◽  
Abbas M. Al-Ghaili ◽  
Zul- Azri Ibrahim ◽  
Fiza Abdul Rahim ◽  
Saravanan Muthaiyah ◽  
...  
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Smart Grids ◽  
Supply And Demand ◽  
Effective Control ◽  
Smart Meter ◽  
Advanced Metering Infrastructure ◽  
End User ◽  
Smart Meters ◽  
Advanced Metering

Smart grids are the cutting-edge electric power systems that make use of the latest digital communication technologies to supply end-user electricity, but with more effective control and can completely fill end user supply and demand. Advanced Metering Infrastructure (AMI), the backbone of smart grids, can be used to provide a range of power applications and services based on AMI data. The increased deployment of smart meters and AMI have attracted attackers to exploit smart grid vulnerabilities and try to take advantage of the AMI and smart meter’s weakness. One of the possible major attacks in the AMI environment is False Data Injection Attack (FDIA). FDIA will try to manipulate the user’s electric consumption by falsified the data supplied by the smart meter value in a smart grid system using additive and deductive attack methods to cause loss to both customers and utility providers. This paper will explore two possible attacks, the additive and deductive data falsification attack and illustrate the taxonomy of attack behaviors that results in additive and deductive attacks. This paper contributes to real smart meter datasets in order to come up with a financial impact to both energy provider and end-user.

scholarly journals Communication Performance Assessment for Advanced Metering Infrastructure

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 88 ◽  
Author(s):  
Jen-Hao Teng ◽  
Chia-Wei Chao ◽  
Bin-Han Liu ◽  
Wei-Hao Huang ◽  
Jih-Ching Chiu
Keyword(s):  
Smart Grids ◽  
Small Scale ◽  
Smart Meter ◽  
Advanced Metering Infrastructure ◽  
Smart Meters ◽  
Communication Performance ◽  
Reading Success ◽  
Efficient Communication ◽  
Advanced Metering ◽  
Communication Paths

Advanced Metering Infrastructure (AMI), the foundation of smart grids, can be used to provide numerous intelligent power applications and services based on the data acquired from AMI. Effective and efficient communication performance between widely-spread smart meters and Data Concentrator Units (DCUs) is one of the most important issues for the successful deployment and operation of AMI and needs to be further investigated. This paper proposes an effective Communication Performance Index (CPI) to assess and supervise the communication performance of each smart meter. Some communication quality measurements that can be easily acquired from a smart meter such as reading success rate and response time are used to design the proposed CPI. Fuzzy logic is adopted to combine these measurements to calculate the proposed CPI. The CPIs for communication paths, DCUs and whole AMI can then be derived from meter CPIs. Simulation and experimental results for small-scale AMIs demonstrate the validity of the proposed CPI. Through the calculated CPIs, the communication performance and stability for AMI can be effectively assessed and supervised.

scholarly journals Implementing and Examination of EIGRP OSPF RIP Routing protocol in AMI Network for DDoS attack using OPNET

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3776-3783
Keyword(s):  
Smart Grid ◽  
Communication Networks ◽  
Smart Grids ◽  
Data Transfer ◽  
Area Network ◽  
Smart Meters ◽  
Simulation Tools ◽  
Ddos Attack ◽  
Network Parameters ◽  
Advanced Metering

A Smart Grid is the advancement for power matrix with utilization of correspondence innovation with number of powerful meters which are interconnected and two-way data / information flows and has the main goals is to the active participants of consumers to improve quality and reliability of energy usage as for reducing energy consumption and provide increasing reliability as communication between smart meters and consumers. Basically, Smart Grid is working with distributed system manner, and create a network infrastructure as Advanced Metering Infrastructure (AMI) with number of different smart meter. This AMI network includes NAN (Neighbourhood Area Network), have connected with number of smart meters (as wired / wireless) connections with repeater / router as commonly name as Gateway collector which collets the all the consumers information’s and send to the Utility centre. The flow of information as energy usages and power in smart grids is bidirectional which is controlled with the help of software and supporting hardware. Here, with using of Optimized Network Engineering Tools (OPNET) Modeler is one of the most dominant simulation tools for the analysis of communication networks. In this paper, the number of smart meters is connected and create an AMI networks were developed with network parameters which related to different communication as wireless for the compute the different network parameters with respect to the time where data transfer and DDoS attack to the network. The security aspect as detect the DDoS attack to the AMI network and provide a guideline to the future of AMI network where escape strange challenges faced by Distribution companies. Here, in this paper the progressed metering foundation (AMI), which is one of the savvy framework's application regions where make a proving ground and arrangement in the OPNET for assessed the exhibition and power the board model for the framework

scholarly journals An enhanced broadband class-J mode power amplifier for 5G smart meter applications

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 1099
Author(s):  
Nagisetty Sridhar ◽  
Dr Chinnaiyan Senthilpari ◽  
Dr Mardeni R ◽  
Dr Wong Hin Yong
Keyword(s):  
Power Amplifier ◽  
Smart Grids ◽  
High Efficiency ◽  
Fine Tuning ◽  
Smart Meter ◽  
Smart Meters ◽  
Power Added Efficiency ◽  
Matching Networks ◽  
Grid Applications ◽  
Advanced Metering

Background: With the tremendous increase in the usage of smart meters for industrial/ household purposes, their implementation is considered a crucial challenge in the Internet of Things (IoT) world, leading to a demand for emerging 5G technology. In addition, a large amount of data has to be communicated by smart meters efficiently, which needs a significant enhancement in bandwidth. The power amplifier (PA) plays a major role in deciding the efficiency and bandwidth of the entire communication system. Among the various modes of PAs, a newly developed Class-J mode PA has been proven to achieve high efficiency over a wide bandwidth by maintaining linearity. Methods: This paper proposes a Class-J mode PA design methodology using a CGH40010F-GaN device that operates at a 3.5 GHz frequency to meet the requirements of 5G wireless communication technology for the replacement of existing 4G/LTE technology used for advanced metering infrastructure (AMI) in smart grids. This research's main objective is to design the proper matching networks (M.Ns) to achieve Class-J mode operation that satisfies the bandwidth requirements of 5G smart grid applications. With the target impedances obtained using the load-pull simulation, lumped element matching networks are analyzed and designed in 3 ways using the ADS EDA tool. Results: The simulation results reveal that the proposed Class-J PA provides a maximum drain efficiency (D.E) of 82%, power added efficiency (PAE) of 67% with 13 dB small-signal gain at 3.5 GHz, and output power of 40 dBm (41.4 dBm peak) with a power gain of approximately 7 dB over a bandwidth of approximately 400 MHz with a 28 V power supply into a 50 Ω load. Conclusion: The efficiency and bandwidth of the proposed Class-J PA can be enhanced further by fine-tuning the matching network design to make it more suitable for 5G smart meter/grid applications.

Research on Smart Meter BOA and System Design

2013 ◽  
Vol 397-400 ◽  
pp. 1897-1900
Author(s):  
Jian Yang Zhao ◽  
Jing Mei Cheng ◽  
Wei Hong Ding
Keyword(s):  
Smart Grid ◽  
System Design ◽  
Data Base ◽  
Real Time ◽  
Smart Meter ◽  
Smart Meters ◽  
Operation System ◽  
Linux Operation System ◽  
Advanced Metering ◽  
And Storage

As an important part of the smart grid, smart meters and advanced metering infrastructures are given the newly missions connected network. Along with Ethernet development smart meters with measurements and networks, meter with BOA can become reality. In this paper a system of smart meter BOA and its smart meter networking has developed. It has real time displays and storage of smart meter data. The system uses a ARM9 (S3C2440) chip with a Linux operation system. Gathering from breaker via RS232, Data are sent to BOA server through named pipes to be displayed on web. At the same time, these data are stored in embed data base SQLite, for feature managements.

scholarly journals Electric Load Data Compression and Classification Based on Deep Stacked Auto-Encoders

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 653 ◽  
Author(s):  
Xiaoyao Huang ◽  
Tianbin Hu ◽  
Chengjin Ye ◽  
Guanhua Xu ◽  
Xiaojian Wang ◽  
...  
Keyword(s):  
Data Storage ◽  
Classification Accuracy ◽  
Smart Grids ◽  
Fine Tuning ◽  
Smart Meter ◽  
Smart Meters ◽  
Softmax Classifier ◽  
Data Mining Approach ◽  
Data Volume ◽  
Advanced Metering

With the development of advanced metering infrastructure (AMI), electrical data are collected frequently by smart meters. Consequently, the load data volume and length increase dramatically, which aggravates the data storage and transmission burdens in smart grids. On the other hand, for event detection or market-based demand response applications, load service entities (LSEs) want smart meter readings to be classified in specific and meaningful types. Considering these challenges, a stacked auto-encoder (SAE)-based load data mining approach is proposed. First, an innovative framework for smart meter data flow is established. On the user side, the SAEs are utilized to compress load data in a distributed way. Then, centralized classification is adopted at remote data center by softmax classifier. Through the layer-wise feature extracting of SAE, the sparse and lengthy raw data are expressed in compact forms and then classified based on features. A global fine-tuning strategy based on a well-defined labeled subset is embedded to improve the extracted features and the classification accuracy. Case studies in China and Ireland demonstrate that the proposed method is more capable to achieve the minimum of error and satisfactory compression ratios (CR) than benchmark compressors. It also significantly improves the classification accuracy on both appliance and house level datasets.

scholarly journals JamCatcher: A Mobile Jammer Localization Scheme for Advanced Metering Infrastructure in Smart Grid

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 909 ◽  
Author(s):  
Taimin Zhang ◽  
Xiaoyu Ji ◽  
Zhou Zhuang ◽  
Wenyuan Xu
Keyword(s):  
Smart Grid ◽  
Software Defined Radio ◽  
Area Network ◽  
Advanced Metering Infrastructure ◽  
Smart Meters ◽  
Jamming Attacks ◽  
Localization Scheme ◽  
Localization Algorithms ◽  
Anchor Nodes ◽  
Advanced Metering

As the core component of the smart grid, advanced metering infrastructure (AMI) is responsible for automated billing, demand response, load forecasting, management, etc. The jamming attack poses a serious threat to the AMI communication networks, especially the neighborhood area network where wireless technologies are widely adopted to connect a tremendous amount of smart meters. An attacker can easily build a jammer using a software-defined radio and jam the wireless communications between smart meters and local controllers, causing failures of on-line monitoring and state estimation. Accurate jammer localization is the first step for defending AMIs against jamming attacks. In this paper, we propose JamCatcher, a mobile jammer localization scheme for defending the AMI. Unlike existing jammer localization schemes, which only consider stationary jammers and usually require a high density of anchor nodes, the proposed scheme utilizes a tracker and can localize a mobile jammer with sparse anchor nodes. The time delay of data transmission is also considered, and the jammer localization process is divided into two stages, i.e., far-field chasing stage and near-field capturing stage. Different localization algorithms are developed for each stage. The proposed method has been tested with data from both simulation and real-world experiment. The results demonstrate that JamCatcher outperforms existing jammer localization algorithms with a limited number of anchor nodes in the AMI scenario.

Smart Grid

2020 ◽  
pp. 324-349
Author(s):  
Maheswari M. ◽  
Gunasekharan S.
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Reference Model ◽  
Vital Role ◽  
Self Healing ◽  
Advanced Metering Infrastructure ◽  
Evolution Characteristics ◽  
Advanced Metering ◽  
Grid Operation

The electric grid that has the tendency to communicate two-way and can sense various parameters in the transmission line is termed as smart grid. This chapter deals about the overview of smart grid evolution, characteristics, and operation. There are various benefits in smart grid like improvement in efficiency, adaptive, self-healing, and optimized than conventional grid. The smart grid composition is complex and defined based on standards adaption, technical components perspective, technical perspective, and conceptual reference model perspective. In the architecture of smart grid, the role of advanced metering infrastructure (AMI) plays a vital role to sense, measure, record, and communicate the data from load centre to data centre. AMI consists of smart meter, communication network, data reception, and management system. This chapter also covers the IEEE and IEC standards defined for smart grid operation. It also envisages the barriers in the implementation of smart grids.

Cyber-Physical System for Smart Grid

2021 ◽  
pp. 301-323
Author(s):  
Nagi Faroug M. Osman ◽  
Ali Ahmed A. Elamin ◽  
Elmustafa Sayed Ali Ahmed ◽  
Rashid A. Saeed
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Smart Grids ◽  
Power Grid ◽  
Vital Role ◽  
Computing Methods ◽  
System Stability ◽  
Smart Meters ◽  
Smart Power ◽  
Power Resources

A smart grid is an advanced utility, stations, meters, and energy systems that comprises a diversity of power processes of smart meters, and various power resources. The cyber-physical systems (CPSs) can play a vital role boosting the realization of the smart power grid. Applied CPS techniques that comprise soft computing methods, communication network, management, and control into a smart physical power grid can greatly boost to realize this industry. The cyber-physical smart power systems (CPSPS) are an effective model system architecture for smart grids. Topics as control policies, resiliency methods for secure utility meters, system stability, and secure end-to-end communications between various sensors/controllers would be quite interested in CPSPS. One of the essential categories in CPSPS applications is the energy management system (EMS). The chapter will spotlight the model and design the relationship between the grid and EMS networks with standardization. The chapter also highlights some necessary standards in the context of CPSPS for the grid infrastructure.

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