Data reduction in a cloud-based AMI framework with service-replication

Mohamed, Marwa F.; El-Gayyar, Mahmoud; Shabayek, Abd El Rahman; Nassar, Hamed

doi:10.1016/j.compeleceng.2018.02.042

Cited by 9 publications

(8 citation statements)

References 9 publications

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“…Mohamed et al 13 addressed the problem of bandwidth consumption for the transmission of measurement data from SMs to a cloud, and implemented an adaptive framework that predicts consumption and reduces data transmission to the cloud. The traffic analysis is conducted on the aggregator where the forecasting system is installed.…”

Section: Related Workmentioning

confidence: 99%

“…The scheme employs a binary tree structure for group management and secret keys, bilinear parings to authenticate a group of SMs, and ECDH (elliptic curve Diffie–Hellman) 12 as part of an anonymous key agreement protocol, thus enabling the sharing of secrets and the creation of session keys. The architecture is comprised of three layers: a lower one, where the SMs that collect and transmit measurement information are located, a middle layer, composed of aggregators that group the information sent by the SMs, and an upper one, where cloud devices send, receive, and process the information sent by the aggregators 13 …”

Section: Introductionmentioning

confidence: 99%

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Cloud‐based authentication and key management protocol for advanced metering infrastructure in smart grid

Roman

Gondim

2022

Trans Emerging Tel Tech

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In smart grid networks, the advanced metering infrastructure (AMI) enables sensors and communication networks to measure electricity consumed or generated by users. However, among the challenges to be overcome related to security in the AMI system is resistance to computer attacks, such as impersonation, denial of service, man in the middle, and redirection, which can compromise privacy, confidentiality, and availability of electrical systems. An efficient and effective authentication system is necessary to guarantee the privacy and confidentiality of data without compromising system performance, thus characterizing a challenge (need for a tradeoff between security and performance), which involves limited computing power and bandwidth and a high number of meters to be installed in a certain geographic area. This article introduces a group authentication and key agreement protocol that ensures both confidentiality and privacy of communications and avoids several computer attacks. It showed better communication and computational cost‐based performance compared to other protocols. Automated validation of internet security protocols and applications formally validated it, while security protocol animator tool simulated an intrusion, with good results.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cloud‐based authentication and key management protocol for advanced metering infrastructure in smart grid

Roman

Gondim

2022

Trans Emerging Tel Tech

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“…A most recent work [40] in data reduction addresses the problem of transmitting data in smart energy metering infrastructure. The authors proposed a framework to monitor data of energy consumption using smart meters and then aggregate the data for a fixed batch intervals.…”

Section: Related Workmentioning

confidence: 99%

Real-Time Data Center's Telemetry Reduction and Reconstruction Using Markov Chain Models

Baig

Iqbal

Berral

et al. 2019

IEEE Systems Journal

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Large-scale data centers are composed of thousands of servers organized in interconnected racks to offer services to users. These data centers continuously generate large amounts of telemetry data streams (e.g., hardware utilization metrics) used for multiple purposes, including resource management, workload characterization, resource utilization prediction, capacity planning, and real-time analytics. These telemetry streams require costly bandwidth utilization and storage space, particularly at medium-long term for large data centers. This paper addresses this problem by proposing and evaluating a system to efficiently reduce bandwidth and storage for telemetry data through real-time modeling using Markov chain based methods. Our proposed solution was evaluated using real telemetry datasets and compared with polynomial regression methods for reducing and reconstructing data. Experimental results show that data can be lossy compressed up to 75% for bandwidth utilization and 95.33% for storage space, with reconstruction accuracy close to 92%.

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“…In the forecasting‐based framework proposed in [4], the objective is to construct

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, in the context of an AMI. A pool of forecasting methods (e.g.…”

Section: Related Workmentioning

confidence: 99%

“…In general, node energy is consumed by three operational activities: sensing, processing and communications, with communications being typically the largest energy‐consuming activity [1]. Therefore, many strategies aiming to minimise node energy consumption address communications issues, such as clustering [2], routing protocols [3] and data sizes [4].…”

Section: Introductionmentioning

confidence: 99%