被动网络监控中的隐私保护:一种访问控制方法

G. Lioudakis, Fotios Gogoulos, A. Antonakopoulou, D. Kaklamani, I. Venieris
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引用次数: 13

摘要

“在互联网上,没有人知道你是一条狗”,这是帕特·斯坦纳(Pat Steiner)在《纽约客》(the New Yorker)上发表的著名漫画中的一句话。为了强调互联网本应提供的匿名和隐私的潜力,这句话被经常引用。然而,现实似乎大不相同。在新兴的信息通信技术对个人隐私造成的诸多威胁中,与被动网络监控相关的活动占有突出的地位。本文从访问控制的角度讨论了被动网络监控数据的隐私保护问题。它提出了一个语义信息模型,以及基本的执行框架,用于实时确定访问控制条款,这些条款源于个人数据保护立法,并取决于每个监测数据披露请求的特定特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy Protection in Passive Network Monitoring: An Access Control Approach
"On the Internet, nobody knows you are a dog" according to the famous Pat Steiner cartoon in The New Yorker, which has been very frequently cited in order to emphasize the potential for anonymity and privacy that the Internet was supposed to offer. However, the reality seems to be rather different. Among the several threats to personal privacy caused by the emerging Information and Communication Technologies, activities related to passive network monitoring hold an outstanding position. This paper discusses from an access control point of view the issue of privacy protection regarding data originating from passive network monitoring. It proposes a semantic information model, along with the underlying enforcement framework, for the real-time determination of access control provisions as stem from the personal data protection legislation and depending on the particular characteristics of every request for monitoring data disclosure.
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