scholarly journals Correction to “Secure Data Access Control With Ciphertext Update and Computation Outsourcing in Fog Computing for Internet of Things”

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 17245-17245 ◽  
Author(s):  
Qinlong Huang ◽  
Yixian Yang ◽  
Licheng Wang
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Fog Computing ◽  
Data Access ◽  
Data Access Control ◽  
Secure Data

scholarly journals Secure Data Access Control for Fog Computing Based on Multi-Authority Attribute-Based Signcryption with Computation Outsourcing and Attribute Revocation

Sensors ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 1609 ◽  
Author(s):  
Qian Xu ◽  
Chengxiang Tan ◽  
Zhijie Fan ◽  
Wenye Zhu ◽  
Ya Xiao ◽  
...  
Keyword(s):  
Access Control ◽  
Fog Computing ◽  
Data Access ◽  
Data Access Control ◽  
Secure Data

scholarly journals Secure data access control with perception reasoning

2018 ◽  
Vol 7 (1) ◽  
pp. 13 ◽  
Author(s):  
Abdul MATEEN ◽  
Abdul RAUF ◽  
Abdul HANAN ABDULLAH ◽  
Mahmood ASHRAF
Keyword(s):  
Access Control ◽  
Data Access ◽  
Data Access Control ◽  
Secure Data

scholarly journals Practical Multiauthority Attribute-Based Access Control for Edge-Cloud-Aided Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Kaiqing Huang ◽  
Xueli Wang ◽  
Zhiqiang Lin
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Data Access ◽  
Edge Computing ◽  
Fine Grained ◽  
Technical Requirements ◽  
Data Access Control ◽  
Heavy Burden ◽  
Attribute Based Access Control ◽  
Access Privileges

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 Things (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. The performance analysis results indicate that the proposed scheme is efficient and suitable in edge computing for the IoT.

scholarly journals Secure Data Access Control with Cipher Text Update and Computation Outsourcing in Fog Computing for Internet of Things

2021 ◽  
Vol 12 (2) ◽  
pp. 1592-1597
Author(s):  
Shaik Jaffer Vali , Et. al.
Keyword(s):  
Access Control ◽  
Fog Computing ◽  
Information Access ◽  
Security Analysis ◽  
Data Access ◽  
The Novel ◽  
Fine Grained ◽  
Cipher Text ◽  
Data Access Control ◽  
Ciphertext Policy

Fog Computing is a region of Computer Science that is under steady construction and development, and related to data security, the worldview turns out to be more solid and secure for IoT's edge stages. The verification of limited memory devices has serious issues since memory utilization is high when applied with different models that have the motivation behind shared confirmation. In this paper, we propose the Novel cipher text-based encryption model (NCEM) which has an information access control plot dependent on Ciphertext-Policy it give information privacy, fine-grained control, and mysterious validation in a multi-authority fog computing framework. The sign cryption and plan cryption overhead for the client is altogether diminished by redistributing the bothersome calculation tasks to fog hubs. The proposed conspire is demonstrated to be secure in the standard model and can give trait repudiation and public unquestionable status. The security analysis, asymptotic multifaceted nature examination, and implementation results demonstrate that our construction can offset the security objectives with useful effectiveness in calculation.

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