Lightweight Fine-Grained Access Control for Wireless Body Area Networks

被引:10
|
作者
Ali, Mohammad [1 ]
Sadeghi, Mohammad-Reza [1 ]
Liu, Ximeng [2 ,3 ,4 ]
机构
[1] Amirkabir Univ Technol, Dept Math & Comp Sci, Tehran 1591634311, Iran
[2] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
[3] Guangdong Prov Key Lab Data Secur & Privacy Prote, Guangzhou 510632, Peoples R China
[4] Xidian Univ, Shaanxi Key Lab Network & Syst Secur, Xian 710071, Peoples R China
基金
中国国家自然科学基金;
关键词
fine-grained access control; wireless body area networks; lightweight computation; attribute-based encryption; cloud computing; ATTRIBUTE-BASED ENCRYPTION; CHRONIC DISEASE; GROWING BURDEN; SCHEME; AUTHENTICATION; INTERNET;
D O I
10.3390/s20041088
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Wireless Body Area Network (WBAN) is a highly promising technology enabling health providers to remotely monitor vital parameters of patients via tiny wearable and implantable sensors. In a WBAN, medical data is collected by several tiny sensors and usually transmitted to a server-side (e.g., a cloud service provider) for long-term storage and online/offline processing. However, as the health data includes several sensitive information, providing confidentiality and fine-grained access control is necessary to preserve the privacy of patients. In this paper, we design an attribute-based encryption (ABE) scheme with lightweight encryption and decryption mechanisms. Our scheme enables tiny sensors to encrypt the collected data under an access control policy by performing very few computational operations. Also, the computational overhead on the users in the decryption phase is lightweight, and most of the operations are performed by the cloud server. In comparison with some excellent ABE schemes, our encryption mechanism is more than 100 times faster, and the communication overhead in our scheme decreases significantly. We provide the security definition for the new primitive and prove its security in the standard model and under the hardness assumption of the decisional bilinear Diffie-Hellman (DBDH) problem.
引用
收藏
页数:22
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