Efficient and robust certificateless signature for data crowdsensing in cloud-assisted industrial IoT

With the digitalization of various industries, the combination of cloud computing and the industrial Internet of Things (IIoT) has become an attractive data processing paradigm. However, the cloud-assisted IIoT still has challenging issues, including authenticity of data, untrustworthiness of third...

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Main Authors: ZHANG, Yinghui, DENG, Robert H., ZHENG, Dong, LI, Jin, WU, Pengfei, CAO, Jin
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Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/4674
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spelling sg-smu-ink.sis_research-56772020-01-02T06:18:03Z Efficient and robust certificateless signature for data crowdsensing in cloud-assisted industrial IoT ZHANG, Yinghui DENG, Robert H. ZHENG, Dong LI, Jin WU, Pengfei CAO, Jin With the digitalization of various industries, the combination of cloud computing and the industrial Internet of Things (IIoT) has become an attractive data processing paradigm. However, the cloud-assisted IIoT still has challenging issues, including authenticity of data, untrustworthiness of third parties, and system robustness and efficiency. Recently, a lightweight certificateless signature (CLS) scheme for the cloud-assisted IIoT, that was claimed to address both authenticity of data and untrustworthiness of third parties, has been proposed by Karati et al. (2018). In this paper, we demonstrate that the CLS scheme fails to achieve the claimed security properties by presenting four types of signature forgery attacks. We also propose a robust certificateless signature (RCLS) scheme to address the aforementioned challenges. Our RCLS only needs public channels and is proven secure against both public key replacement attacks and malicious-but-passive third parties in the standard model. Performance evaluation indicates that the RCLS scheme outperforms other CLS schemes and is suitable for the IIoT. 2019-09-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/4674 info:doi/10.1109/TII.2019.2894108 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Information Security
spellingShingle Information Security
ZHANG, Yinghui
DENG, Robert H.
ZHENG, Dong
LI, Jin
WU, Pengfei
CAO, Jin
Efficient and robust certificateless signature for data crowdsensing in cloud-assisted industrial IoT
description With the digitalization of various industries, the combination of cloud computing and the industrial Internet of Things (IIoT) has become an attractive data processing paradigm. However, the cloud-assisted IIoT still has challenging issues, including authenticity of data, untrustworthiness of third parties, and system robustness and efficiency. Recently, a lightweight certificateless signature (CLS) scheme for the cloud-assisted IIoT, that was claimed to address both authenticity of data and untrustworthiness of third parties, has been proposed by Karati et al. (2018). In this paper, we demonstrate that the CLS scheme fails to achieve the claimed security properties by presenting four types of signature forgery attacks. We also propose a robust certificateless signature (RCLS) scheme to address the aforementioned challenges. Our RCLS only needs public channels and is proven secure against both public key replacement attacks and malicious-but-passive third parties in the standard model. Performance evaluation indicates that the RCLS scheme outperforms other CLS schemes and is suitable for the IIoT.
format text
author ZHANG, Yinghui
DENG, Robert H.
ZHENG, Dong
LI, Jin
WU, Pengfei
CAO, Jin
author_facet ZHANG, Yinghui
DENG, Robert H.
ZHENG, Dong
LI, Jin
WU, Pengfei
CAO, Jin
author_sort ZHANG, Yinghui
title Efficient and robust certificateless signature for data crowdsensing in cloud-assisted industrial IoT
title_short Efficient and robust certificateless signature for data crowdsensing in cloud-assisted industrial IoT
title_full Efficient and robust certificateless signature for data crowdsensing in cloud-assisted industrial IoT
title_fullStr Efficient and robust certificateless signature for data crowdsensing in cloud-assisted industrial IoT
title_full_unstemmed Efficient and robust certificateless signature for data crowdsensing in cloud-assisted industrial IoT
title_sort efficient and robust certificateless signature for data crowdsensing in cloud-assisted industrial iot
publisher Institutional Knowledge at Singapore Management University
publishDate 2019
url https://ink.library.smu.edu.sg/sis_research/4674
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