London: Smartphone users are unaware of privacy implications of some permissions they grant to apps<\/a> and services and researchers have been able to identify which kind of personal information<\/a> the apps extract with location tracking<\/a> on. 智能手机用户都不知道隐私的影响一些权限授予应用程序和服务和研究人员已经能够识别什么样的个人信息和位置跟踪应用程序提取。 伦敦:智能手机用户都不知道隐私影响他们授予的权限应用程序和服务和研究人员已经能够确定哪一种个人信息的应用程序提取位置跟踪上。
This is the first extensive study shedding light on the range of personal information that can be inferred from location-tracking data. C
Consequently, the study by two researchers from University of Bologna, Italy and Benjamin Baron from University College London<\/a>, the UK also shows how collecting such information can represent a violation of the users' privacy.
To this end, the researchers developed a mobile application -- TrackingAdvisor -- that continuously collects user location.
From the location data, the app can extract personal information and asks users to give feedback on the correctness of such information as well as to rate its relevance in terms of privacy sensitivity.
\"Users are largely unaware of the privacy implications of some permissions they grant to apps and services, in particular when it comes to location-tracking information\", said Mirco Musolesi from University of Bologna.
Thanks to machine learning techniques, these data provide sensitive information such as the place where users live, their habits, interests, demographics, and information about users' personalities.
Through the TrackingAdvisor app employed in the study - published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies -- researchers were able to identify which kind of personal information the app extracted and its privacy sensitivity according to users.
For the study, 69 users used TrackAdvisor for at least two weeks.
TrackAdvisor tracked more than 200,000 locations, identifying approximately 2,500 places and collecting almost 5,000 pieces of personal information concerning both demographics and personality.
Among the data gathered, the users find that the most sensitive pieces of information were the ones about health, socio-economic situation, ethnicity, and religion.
\"We think it is important to show users the amount and quality of information that apps can collect through location tracking\", Musolesi added.
\"Equally important for us is to understand whether users think that sharing information with app managers or marketing firms is acceptable or deem it a violation of their privacy\".
According to the researchers, analyses like this pave the way to designing targeted advertising systems that help users protect their privacy, especially with the data they deem more sensitive.
\"Thanks to such systems, users interested -- for example - in protecting information about their own health could receive a notification each time they go to a health clinic or hospital\", said Musolesi.
But there is more.
This could also lead to the development of systems that can automatically block the collection of sensitive data from third parties thanks to previously defined privacy settings, the authors noted.
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智能手机应用程序如何通过位置跟踪提取你的数据吗
这是第一个广泛的研究揭示了个人信息的范围,可以推断从定位跟踪数据。C
因此,博洛尼亚大学的两名研究人员的研究,意大利和本杰明从男爵伦敦大学学院,英国也显示了如何收集这些信息可以表示用户隐私的侵犯。
为此,研究人员开发了一个移动应用程序——TrackingAdvisor不断收集用户位置。
“用户大都没有意识到隐私的影响一些权限授予应用程序和服务,特别是当涉及到定位跟踪信息”,博洛尼亚大学的Mirco Musolesi说。
由于机器学习技术,这些数据提供敏感信息如用户生活的地方,他们的习惯,兴趣,人口统计,信息用户的个性。
通过TrackingAdvisor应用用于这项研究发表在《ACM互动、移动、可穿戴和无处不在的技术,研究人员能够识别哪一种个人信息提取的应用及其灵敏度根据用户隐私。
在这项研究中,69个用户使用TrackAdvisor至少两个星期。
TrackAdvisor跟踪超过200000个地点,确定大约2500个地方和收集近5000块的个人信息有关人口和个性。
中收集的数据,用户发现最敏感的信息的关于健康、社会经济形势下,种族,和宗教。
“我们认为重要的是显示用户信息的数量和质量,应用程序可以通过位置跟踪收集”,Musolesi补充道。
”同样重要的对我们来说是了解用户认为信息共享与应用经理或营销公司是可以接受的或者认为这侵犯了他们的隐私”。
据研究人员介绍,这样的分析铺平了道路设计有针对性的广告投放系统,帮助用户保护自己的隐私,尤其是在他们认为更敏感的数据。
“多亏了这种系统,用户感兴趣的——例如,在保护自己的健康信息可以接收通知每次他们去诊所或医院”,Musolesi说。
但还有更多。
这也可能导致开发的系统可以自动阻止敏感数据的收集第三方由于之前定义的隐私设置,作者指出。
读到
London: Smartphone users are unaware of privacy implications of some permissions they grant to apps<\/a> and services and researchers have been able to identify which kind of personal information<\/a> the apps extract with location tracking<\/a> on.
This is the first extensive study shedding light on the range of personal information that can be inferred from location-tracking data. C
Consequently, the study by two researchers from University of Bologna, Italy and Benjamin Baron from University College London<\/a>, the UK also shows how collecting such information can represent a violation of the users' privacy.
To this end, the researchers developed a mobile application -- TrackingAdvisor -- that continuously collects user location.
From the location data, the app can extract personal information and asks users to give feedback on the correctness of such information as well as to rate its relevance in terms of privacy sensitivity.
\"Users are largely unaware of the privacy implications of some permissions they grant to apps and services, in particular when it comes to location-tracking information\", said Mirco Musolesi from University of Bologna.
Thanks to machine learning techniques, these data provide sensitive information such as the place where users live, their habits, interests, demographics, and information about users' personalities.
Through the TrackingAdvisor app employed in the study - published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies -- researchers were able to identify which kind of personal information the app extracted and its privacy sensitivity according to users.
For the study, 69 users used TrackAdvisor for at least two weeks.
TrackAdvisor tracked more than 200,000 locations, identifying approximately 2,500 places and collecting almost 5,000 pieces of personal information concerning both demographics and personality.
Among the data gathered, the users find that the most sensitive pieces of information were the ones about health, socio-economic situation, ethnicity, and religion.
\"We think it is important to show users the amount and quality of information that apps can collect through location tracking\", Musolesi added.
\"Equally important for us is to understand whether users think that sharing information with app managers or marketing firms is acceptable or deem it a violation of their privacy\".
According to the researchers, analyses like this pave the way to designing targeted advertising systems that help users protect their privacy, especially with the data they deem more sensitive.
\"Thanks to such systems, users interested -- for example - in protecting information about their own health could receive a notification each time they go to a health clinic or hospital\", said Musolesi.
But there is more.
This could also lead to the development of systems that can automatically block the collection of sensitive data from third parties thanks to previously defined privacy settings, the authors noted.
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