脑机接口技术中安全高效的属性基访问控制  

Secure and Efficient Attribute Based Access Control for Brain-computer Interface

作　　者：屠袁飞[1,2,3] 杨庚 袁冯杰[3] 

机构地区：[1]南京邮电大学通信与信息工程学院,南京210003 [2]江苏省无线传感网高技术研究重点实验室,南京210003 [3]南京工业大学计算机科学与技术学院,南京211800

出　　处：《电子与信息学报》2017年第10期2495-2503,共9页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61572263;61272084);江苏省高校自然科学研究重大项目(11KJA520002);高等学校博士学科点专项科研基金(20113223110003);中国博士后科学基金(2015M581794);江苏省博士后科研资助计划(1501023C);南京邮电大学校级科研基金(NY214127)~~

摘　　要：随着脑机接口技术(Brain-Computer Interface,BCI)在新兴医疗健康监测领域的广泛应用,其受到的安全威胁越来越多,导致其隐私保护问题受到了关注。该文针对BCI应用中的隐私保护问题提出一种通信模型,并为其设计了一种基于密文策略的属性基(Ciphertext-Policy Attribute Based Encryption,CP-ABE)访问控制方案,利用代理重加密技术实现细粒度的属性撤销。经分析表明,方案有效地解决了BCI模型中敏感数据的隐私保护问题,并且在能量损耗及通信计算开销等性能评估中表现优异。Brain-Computer Interface （BCI） are expected to play a major role in field of medical-health monitoring in near future. Unfortunately, an increasing number of attacks to BCI applications underline the existence of security and privacy related issues, which gains tremendous attention amongst researchers. In this paper, a communication architecture is proposed for BCI applications, and an access control scheme is designed by employing Ciphertext-Policy Attribute Based Encryption （CP-ABE）. The proposed scheme supports fully fine-grained attribute revocation by proxy re-encryption. The proposed scheme can efficiently and feasibly reduce the challenges of privacy preservation, and it works excellent in energy consumption and communication/ computation overhead.

关 键 词：脑机接口技术 隐私保护 访问控制方案 属性撤销 代理重加密 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP309[自动化与计算机技术—计算机科学与技术]