Protected bidding against compromised information injection in IoT-based smart grid

The smart grid is regarded as one of the important application field of the Internet of Things (IoT) composed of embedded sensors, which sense and control the behavior of the energy world. IoT is attractive for features of grid catastrophe prevention and decrease of grid transmission line and reliab...

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Main Authors:	Bhuiyan, Md Zakirul Alam, Zaman, M., Wang, Guojun, Wang, Tian, Rahman, Md. Arafatur, Tao, Hai
Format:	Conference or Workshop Item
Language:	English
Published:	Springer, Cham 2019
Subjects:	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/24973/ http://umpir.ump.edu.my/id/eprint/24973/ http://umpir.ump.edu.my/id/eprint/24973/1/Protected%20bidding%20against%20compromised%20information%20injection%20in%20IoT.pdf

id	ump-24973
recordtype	eprints
spelling	ump-249732019-10-24T03:57:36Z http://umpir.ump.edu.my/id/eprint/24973/ Protected bidding against compromised information injection in IoT-based smart grid Bhuiyan, Md Zakirul Alam Zaman, M. Wang, Guojun Wang, Tian Rahman, Md. Arafatur Tao, Hai QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering The smart grid is regarded as one of the important application field of the Internet of Things (IoT) composed of embedded sensors, which sense and control the behavior of the energy world. IoT is attractive for features of grid catastrophe prevention and decrease of grid transmission line and reliable load fluctuation control. Automated Demand Response (ADR) in smart grids maintain demand-supply stability and in regulating customer side electric energy charges. An important goal of IoT-based demand-response using IoT is to enable a type of DR approach called automatic demand bidding (ADR-DB). However, compromised information board can be injected into during the DR process that influences the data privacy and security in the ADR-DB bidding process, while protecting privacy oriented consumer data is in the bidding process is must. In this work, we present a bidding approach that is secure and private for incentive-based ADR system. We use cryptography method instead of using any trusted third-party for the security and privacy. We show that proposed ADR bidding are computationally practical through simulations performed in three simulation environments. Springer, Cham 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24973/1/Protected%20bidding%20against%20compromised%20information%20injection%20in%20IoT.pdf Bhuiyan, Md Zakirul Alam and Zaman, M. and Wang, Guojun and Wang, Tian and Rahman, Md. Arafatur and Tao, Hai (2019) Protected bidding against compromised information injection in IoT-based smart grid. In: 2nd EAI International Conference on Smart Grid and Internet of Things, SGIoT 2018, 11 July 2018 , Niagara Falls, Canada. pp. 78-84., 256. ISSN 1867-8211 ISBN 978-303005927-9 https://doi.org/10.1007/978-3-030-05928-6_8
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Bhuiyan, Md Zakirul Alam Zaman, M. Wang, Guojun Wang, Tian Rahman, Md. Arafatur Tao, Hai Protected bidding against compromised information injection in IoT-based smart grid
description	The smart grid is regarded as one of the important application field of the Internet of Things (IoT) composed of embedded sensors, which sense and control the behavior of the energy world. IoT is attractive for features of grid catastrophe prevention and decrease of grid transmission line and reliable load fluctuation control. Automated Demand Response (ADR) in smart grids maintain demand-supply stability and in regulating customer side electric energy charges. An important goal of IoT-based demand-response using IoT is to enable a type of DR approach called automatic demand bidding (ADR-DB). However, compromised information board can be injected into during the DR process that influences the data privacy and security in the ADR-DB bidding process, while protecting privacy oriented consumer data is in the bidding process is must. In this work, we present a bidding approach that is secure and private for incentive-based ADR system. We use cryptography method instead of using any trusted third-party for the security and privacy. We show that proposed ADR bidding are computationally practical through simulations performed in three simulation environments.
format	Conference or Workshop Item
author	Bhuiyan, Md Zakirul Alam Zaman, M. Wang, Guojun Wang, Tian Rahman, Md. Arafatur Tao, Hai
author_facet	Bhuiyan, Md Zakirul Alam Zaman, M. Wang, Guojun Wang, Tian Rahman, Md. Arafatur Tao, Hai
author_sort	Bhuiyan, Md Zakirul Alam
title	Protected bidding against compromised information injection in IoT-based smart grid
title_short	Protected bidding against compromised information injection in IoT-based smart grid
title_full	Protected bidding against compromised information injection in IoT-based smart grid
title_fullStr	Protected bidding against compromised information injection in IoT-based smart grid
title_full_unstemmed	Protected bidding against compromised information injection in IoT-based smart grid
title_sort	protected bidding against compromised information injection in iot-based smart grid
publisher	Springer, Cham
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24973/ http://umpir.ump.edu.my/id/eprint/24973/ http://umpir.ump.edu.my/id/eprint/24973/1/Protected%20bidding%20against%20compromised%20information%20injection%20in%20IoT.pdf
first_indexed	2023-09-18T22:38:05Z
last_indexed	2023-09-18T22:38:05Z
_version_	1777416731059290112

Protected bidding against compromised information injection in IoT-based smart grid

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