Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid

Md Zakirul Alam Bhuiyan; Mdaliuz Zaman; Guojun Wang; Tian Wang; Md Arafat Rahman; Hai Tao

doi:10.1007/978-3-030-05928-6_8

Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid

Md Zakirul Alam Bhuiyan
, Mdaliuz Zaman
, Guojun Wang
, Tian Wang
, Md Arafat Rahman
, Hai Tao

Fordham University
Guangzhou University
Huaqiao University
Universiti Malaysia Pahang Al-Sultan Abdullah
Baoji University of Arts and Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Smart Grid and Internet of Things - 2nd EAI International Conference, SGIoT 2018, Proceedings
Editors	Al-Sakib Khan Pathan, Zubair Md. Fadlullah, Mohamed Guerroumi
Publisher	Springer Verlag
Pages	78-84
Number of pages	7
ISBN (Print)	9783030059279
DOIs	https://doi.org/10.1007/978-3-030-05928-6_8
State	Published - 2019
Externally published	Yes
Event	2nd EAI International Conference on Smart Grid and Internet of Things, SGIoT 2018 - Niagara Falls, Canada Duration: 11 Jul 2018 → 11 Jul 2018

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	256
ISSN (Print)	1867-8211

Conference

Conference	2nd EAI International Conference on Smart Grid and Internet of Things, SGIoT 2018
Country/Territory	Canada
City	Niagara Falls
Period	11/07/18 → 11/07/18

Keywords

Compromised information injection
Demand response
Internet of Things (IoT)
Privacy
Security attack
Smart grid

Access to Document

10.1007/978-3-030-05928-6_8

Cite this

Bhuiyan, M. Z. A., Zaman, M., Wang, G., Wang, T., Rahman, M. A., & Tao, H. (2019). Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid. In A.-S. K. Pathan, Z. M. Fadlullah, & M. Guerroumi (Eds.), Smart Grid and Internet of Things - 2nd EAI International Conference, SGIoT 2018, Proceedings (pp. 78-84). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 256). Springer Verlag. https://doi.org/10.1007/978-3-030-05928-6_8

Bhuiyan, Md Zakirul Alam ; Zaman, Mdaliuz ; Wang, Guojun et al. / Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid. Smart Grid and Internet of Things - 2nd EAI International Conference, SGIoT 2018, Proceedings. editor / Al-Sakib Khan Pathan ; Zubair Md. Fadlullah ; Mohamed Guerroumi. Springer Verlag, 2019. pp. 78-84 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{0a5dba4a86634d6c9637d1c1e369bfae,

title = "Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid",

abstract = "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.",

keywords = "Compromised information injection, Demand response, Internet of Things (IoT), Privacy, Security attack, Smart grid",

author = "Bhuiyan, \{Md Zakirul Alam\} and Mdaliuz Zaman and Guojun Wang and Tian Wang and Rahman, \{Md Arafat\} and Hai Tao",

note = "Publisher Copyright: {\textcopyright} 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 2nd EAI International Conference on Smart Grid and Internet of Things, SGIoT 2018 ; Conference date: 11-07-2018 Through 11-07-2018",

year = "2019",

doi = "10.1007/978-3-030-05928-6\_8",

language = "English",

isbn = "9783030059279",

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pages = "78--84",

editor = "Pathan, \{Al-Sakib Khan\} and Fadlullah, \{Zubair Md.\} and Mohamed Guerroumi",

booktitle = "Smart Grid and Internet of Things - 2nd EAI International Conference, SGIoT 2018, Proceedings",

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}

Bhuiyan, MZA, Zaman, M, Wang, G, Wang, T, Rahman, MA & Tao, H 2019, Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid. in A-SK Pathan, ZM Fadlullah & M Guerroumi (eds), Smart Grid and Internet of Things - 2nd EAI International Conference, SGIoT 2018, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 256, Springer Verlag, pp. 78-84, 2nd EAI International Conference on Smart Grid and Internet of Things, SGIoT 2018, Niagara Falls, Canada, 11/07/18. https://doi.org/10.1007/978-3-030-05928-6_8

Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid. / Bhuiyan, Md Zakirul Alam; Zaman, Mdaliuz; Wang, Guojun et al.
Smart Grid and Internet of Things - 2nd EAI International Conference, SGIoT 2018, Proceedings. ed. / Al-Sakib Khan Pathan; Zubair Md. Fadlullah; Mohamed Guerroumi. Springer Verlag, 2019. p. 78-84 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 256).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid

AU - Bhuiyan, Md Zakirul Alam

AU - Zaman, Mdaliuz

AU - Wang, Guojun

AU - Wang, Tian

AU - Rahman, Md Arafat

AU - Tao, Hai

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Compromised information injection

KW - Demand response

KW - Internet of Things (IoT)

KW - Privacy

KW - Security attack

KW - Smart grid

UR - https://www.scopus.com/pages/publications/85059699804

U2 - 10.1007/978-3-030-05928-6_8

DO - 10.1007/978-3-030-05928-6_8

M3 - Conference contribution

AN - SCOPUS:85059699804

SN - 9783030059279

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 78

EP - 84

BT - Smart Grid and Internet of Things - 2nd EAI International Conference, SGIoT 2018, Proceedings

A2 - Pathan, Al-Sakib Khan

A2 - Fadlullah, Zubair Md.

A2 - Guerroumi, Mohamed

PB - Springer Verlag

T2 - 2nd EAI International Conference on Smart Grid and Internet of Things, SGIoT 2018

Y2 - 11 July 2018 through 11 July 2018

ER -

Bhuiyan MZA, Zaman M, Wang G, Wang T, Rahman MA, Tao H. Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid. In Pathan ASK, Fadlullah ZM, Guerroumi M, editors, Smart Grid and Internet of Things - 2nd EAI International Conference, SGIoT 2018, Proceedings. Springer Verlag. 2019. p. 78-84. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-05928-6_8

Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid

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Publication series

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Keywords

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