2023
DOI: 10.3390/app132011269
|View full text |Cite
|
Sign up to set email alerts
|

Multiauthority Ciphertext Policy-Attribute-Based Encryption (MA-CP-ABE) with Revocation and Computation Outsourcing for Resource-Constraint Devices

Xiaodan Yan,
Shanshan Tu,
Hisham Alasmary
et al.

Abstract: Fog computing accredits by utilizing the network edge while still rendering the possibility to interact with the cloud. Nevertheless, the features of fog computing are encountering several security challenges. The security of end users and/or fog servers brings a significant dilemma in implementing fog computing. The computational power of the resources constrains Internet of Things (IoT) devices in the fog-computing environment. Therefore, an attacker can easily attack. The traditional methods like attribute-… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 45 publications
0
1
0
Order By: Relevance
“…This measure aimed to counteract collusion attacks involving revoked users and malicious entities. In 2023, Yan et al [ 31 ] introduced a CP-ABE scheme with key revocation and computational outsourcing capabilities involving multiple authorities. Subsequently, Xiong et al [ 32 ] introduced an attribute-based data-sharing scheme, granting the cloud server the capability to perform ciphertext searches.…”
Section: Introductionmentioning
confidence: 99%
“…This measure aimed to counteract collusion attacks involving revoked users and malicious entities. In 2023, Yan et al [ 31 ] introduced a CP-ABE scheme with key revocation and computational outsourcing capabilities involving multiple authorities. Subsequently, Xiong et al [ 32 ] introduced an attribute-based data-sharing scheme, granting the cloud server the capability to perform ciphertext searches.…”
Section: Introductionmentioning
confidence: 99%