Firewall for brain: Towards a privacy preserving ecosystem for BCI applications

机译：脑部防火墙：面向BCI应用程序的隐私保护生态系统

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Brain Computer Interfaces (BCIs) have gained popularity in recent years and as they spread further towards becoming ubiquitous, privacy issues deserve immediate attention. In this work, we discuss BCIs' unique privacy issues and take first step toward addressing those issues by proposing a mechanism that applies multiple layers of privacy protection such as encryption, access control, code analysis, etc. to address the privacy challenges.

机译：近年来，脑计算机接口（BCI）越来越流行，并且随着它们向无处不在的发展，隐私问题应立即引起关注。在这项工作中，我们讨论BCI的独特隐私问题，并通过提出一种应用多层隐私保护（例如加密，访问控制，代码分析等）的机制来解决这些隐私挑战的第一步，朝着这些问题迈出了第一步。

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《IEEE Conference on Communications and Network Security》|2016年|370-371|共2页
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Hassan Takabi;
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Privacy; Data mining; Electroencephalography; Encryption; Ecosystems;

机译：隐私;数据挖掘;脑电图;加密;生态系统;

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1. Mind your privacy: Privacy leakage through BCI applications using machine learning methods [J] . Landau Ofir, Cohen Aviad, Gordon Shirley, Knowledge-Based Systems . 2020,第Juna21期

机译：介意您的隐私：使用机器学习方法通过BCI应用程序的隐私泄漏
2. Taking back control of privacy: a novel framework for preserving cloud-based firewall policy confidentiality [J] . Vladimir Mencl Computing reviews . 2016,第12期

机译：收回对隐私的控制：一种用于保护基于云的防火墙策略机密性的新颖框架
3. Taking back control of privacy: a novel framework for preserving cloud-based firewall policy confidentiality [J] . Kurek Tytus, Niemiec Marcin, Lason Artur International Journal of Information Security . 2016,第3期

机译：收回对隐私的控制：一种用于保护基于云的防火墙策略机密性的新颖框架
4. Firewall for brain: Towards a privacy preserving ecosystem for BCI applications [C] . Hassan Takabi IEEE Conference on Communications and Network Security . 2016

机译：脑的防火墙：朝着隐私保存BCI应用程序的生态系统
5. An Anonymous and Distributed Approach to Improving Privacy in Cloud Computing: An Analysis of Privacy-Preserving Tools & Applications [D] . Peters, Emmanuel Sean. 2017

机译：匿名和分布式方法来改善云计算中的隐私：隐私保护工具和应用程序的分析
6. Scalable privacy-preserving data sharing methodology for genome-wide association studies: an application to iDASH healthcare privacy protection challenge [O] . Fei Yu, Zhanglong Ji 2014

机译：用于全基因组关联研究的可扩展隐私保护数据共享方法：在iDASH医疗保健隐私保护挑战中的应用
7. Taking back control of privacy: a novel framework for preserving cloud-based firewall policy confidentiality [O] . 2016

机译：收回对隐私的控制：一种用于保护基于云的防火墙策略机密性的新颖框架

Firewall for brain: Towards a privacy preserving ecosystem for BCI applications

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