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Practical Multiauthority Attribute-Based Access Control for Edge-Cloud-Aided Internet of Things
Author(s) -
Kaiqing Huang,
Xueli Wang,
Zhiqiang Lin
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/8872699
Subject(s) - computer science , ciphertext , encryption , attribute based encryption , cloud computing , access control , computer network , server , enhanced data rates for gsm evolution , hash function , distributed computing , computer security , public key cryptography , operating system , telecommunications
With the assistance of edge computing which reduces the heavy burden of the cloud center server by using the network edge servers, the Internet of +ings (IoTs) architectures enable low latency for real-time devices and applications. However, there still exist security challenges on data access control for the IoT. Multiauthority attribute-based encryption (MA-ABE) is a promising technique to achieve access control over encrypted data in cross-domain applications. Based on the characteristics and technical requirements of the IoT, we propose an efficient fine-grained revocable large universe multiauthority access control scheme. In the proposed scheme, the most expensive encryption operations have been executed in the user’s initialization phase by adding a reusable ciphertext pool besides splitting the encryption algorithm to online encryption and offline encryption. Massive decryption operations are outsourced to the near-edge servers for reducing the computation overhead of decryption. An efficient revocation mechanism is designed to change users’ access privileges dynamically. Moreover, the scheme supports ciphertext verification. Only valid ciphertext can be stored and transmitted, which saves system resources. With the help of the chameleon hash function, the proposed scheme is proven CCA2-secure under the q-DPBDHE2 assumption.+e performance analysis results indicate that the proposed scheme is efficient and suitable in edge computing for the IoT.

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