Measuring Trustworthiness of Smart Meters Leveraging Household Energy Consumption Profile-Reference-Cited by-同舟云学术

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Measuring Trustworthiness of Smart Meters Leveraging Household Energy Consumption Profile

Published:2022-04 Issue:2 Volume:3 Page:289-297
ISSN:2687-9735
Container-title:IEEE Journal of Emerging and Selected Topics in Industrial Electronics
language:
Short-container-title:IEEE J. Emerg. Sel. Top. Ind. Electron.

Author:

Das Rajkumar¹^ORCID,Karmakar Gour²^ORCID,Kamruzzaman Joarder²^ORCID,Chowdhury Abdullahi³^ORCID

Affiliation:

1. Information Technology Services, Federation University Australia, Ballarat, VIC, Australia

2. School of Engineering, Information Technology and Physical Sciences, Federation University Australia, Ballarat, VIC, Australia

3. School of Computer Science, University of Adelaide, Adelaide, SA, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

http://xplorestaging.ieee.org/ielx7/8847244/9740723/09691911.pdf?arnumber=9691911

Reference25 articles.

1. Context based Detections against Legal False Price Data and Malicious Disconnect Commands in Smart Grid

2. A cloud-based openflow firewall for mitigation against DDoS attacks in smart grid AMI networks

3. Puppet attack: A denial of service attack in advanced metering infrastructure network

4. Stochastic geometric analysis of black hole attack on smart grid communication networks

5. A Survey on Security Communication and Control for Smart Grids Under Malicious Cyber Attacks

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1. Empowering Data Defender’s Comprehensive Security Measures for Robust Information Protection in Robust-Cloud Environments;2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET);2024-06-07

2. Power Network Smart Meter Data Driven Cross-Task Transfer Learning for Resident Characteristics Estimation;IEEE Journal of Emerging and Selected Topics in Industrial Electronics;2024-04

3. Smart meter data management challenges;Smart Metering;2024

4. Fortified-Grid 3.0: Security by Design for Smart Grid through Hardware Security Primitives;2023 IEEE International Symposium on Smart Electronic Systems (iSES);2023-12-18

5. Blended Ensemble Learning for Robust MITM Attack Detection and Classification in Smart Grid;2023 33rd Australasian Universities Power Engineering Conference (AUPEC);2023-09-25

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