4.8 Article

Efficient and Robust Certificateless Signature for Data Crowdsensing in Cloud-Assisted Industrial IoT

Journal

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 15, Issue 9, Pages 5099-5108

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2019.2894108

Keywords

Certificateless signature (CLS); cloud computing; crowdsensing; industrial Internet of Things (IIoT); robustness; signature forgery attack

Funding

  1. National Key R&D Program of China [2017YFB0802000]
  2. AXA Research Fund
  3. National Natural Science Foundation of China [61772418, 61602378, 61402366]
  4. Natural Science Basic Research Plan in Shaanxi Province of China [2018JZ6001, 2015JQ6236]
  5. Youth Innovation Team of Shaanxi Universities
  6. Xi'an University of Posts and Telecommunications [2016-02]

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available