Healthcare Data Access Control Using XACML for Handheld Devices

2010 ◽  
Author(s):  
Saritha Arunkumar ◽  
Muttukrishnan Rajarajan
Keyword(s):  
Access Control ◽  
Data Access ◽  
Handheld Devices ◽  
Healthcare Data ◽  
Data Access Control

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.

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