4.5 Article

A secure and efficient access control scheme with attribute revocation and merging capabilities for fog-enabled IoT?

Journal

COMPUTERS & ELECTRICAL ENGINEERING
Volume 104, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compeleceng.2022.108449

Keywords

Fog; IoT; Cloud; Attribute merging; Attribute revocation; Access control

Ask authors/readers for more resources

This paper discusses the accelerated growth of the Internet of Things (IoT) and the introduction of the fog computing paradigm to enable data processing near end-users. However, the current cloud-fog-IoT framework poses a significant threat to data security. The paper proposes a CP-ABE scheme that addresses the issues of attribute merging, attribute revocation, outsourcing operations, and privileged access. Security and performance analyses show that the proposed scheme is secure and suitable for IoT devices.
The current era's technological innovation has accelerated the expansion of the Internet of things (IoT), leading to an exponential growth of the number of connected devices and the produced data. This inspired the emergence of fog computing paradigm that enables data processing and analysis near end-users. The cloud co-exists with fog to offer services like processing resources, huge storage, etc. But sending the data through multiple levels for analysis and storage poses a severe threat to data security in cloud-fog-IoT framework. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is a well-known cryptographic mechanism for providing fine-grained access control. However, the existing CP-ABE schemes are not suitable as they fail to address the issues of attribute merging, attribute revocation, outsourcing operations, and facilitating privileged access altogether. Hence, this paper proposes a CP-ABE scheme addressing all the aforementioned issues. Further, security and performance analyses show that the proposed scheme is secure and suitable for IoT devices.

Authors

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

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available