面向脑机接口技术的属性可撤销访问控制方案

doi:10.11896／j.issn.1002-137X.2018.09.031

摘要/Abstract

摘要： 脑机接口技术(Brain-Computer Interface,BCI)在康复医学领域被广泛应用,然而其中的隐私数据保护问题常被忽略,从而引发严重的安全威胁,产生隐私泄露的隐患。针对BCI应用中的隐私保护问题,提出一种安全、高效的属性基访问控制方案。该方案利用版本号标记和代理重加密技术实现属性撤销,从而使访问策略灵活多变。实验分析表明,该方案有效地解决了BCI系统中的隐私保护问题,并提高了计算效率,降低了运算复杂度。

关键词: 代理重加密, 脑机接口技术, 隐私保护, 属性撤销, 属性基访问控制

Abstract: Though brain-computer interface(BCI) technology has wide application in the field of rehabilitation medicine,the general neglect of private sensitive data protection usually leads to serious security issues.In this paper,a secure and efficient attribute-based access control scheme was proposed for the privacy protection in BCI applications.The new scheme uses the version number tag and proxy re-encryption technology to realize the attribute revocation,which makes the access strategy more flexible.The experimental results show the scheme’s capability enhancing the computational efficiency and reducing the computational complexity,as well as its effectiveness in the privacy protection of the BCI system.

Key words: Attribute based access control, Attribute revocation, Brain-computer interface technology, Privacy preservation, Proxy re-encryption

中图分类号:

TP393

王静, 司书建. 面向脑机接口技术的属性可撤销访问控制方案[J]. 计算机科学, 2018, 45(9): 187-194. https://doi.org/10.11896／j.issn.1002-137X.2018.09.031

WANG Jing, SI Shu-jian. Attribute Revocable Access Control Scheme for Brain-Computer Interface Technology[J]. Computer Science, 2018, 45(9): 187-194. https://doi.org/10.11896／j.issn.1002-137X.2018.09.031

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