有效匿名化网络数据的挑战

Scott E. Coull, F. Monrose, M. Reiter, Michael Bailey
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引用次数: 36

摘要

从技术和政策的角度来看,目前存在的关于网络数据匿名化效果的不确定性,使研究界处于弱势地位。即使该领域向前发展,它也很少理解发布匿名网络数据对被监控网络隐私的影响以及对研究人员的效用。如果不了解这一点,数据发布者就会想,哪些领域必须匿名才能避免法律后果,而研究人员则质疑从数据中获得的结果的可信度。然而,在微数据匿名方面所做的大量工作为网络研究社区提供了一些关于如何有效地将匿名化应用于已发布数据的有用见解。与此同时,如果不首先克服几个挑战,包括为更复杂的网络数据情况开发适当的隐私和实用程序定义,则无法直接应用先前的智慧。在我们看来,解决这些挑战是至关重要的,以确保持续而负责任的网络跟踪数据可用性,以支持安全研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Challenges of Effectively Anonymizing Network Data
The uncertainties that currently exist about the efficacy of network data anonymization, from both technical and policy perspectives, leave the research community in a vulnerable position. Even as the field marches forward, it does so with little understanding of the implications of publishing anonymized network data on the privacy of the networks being monitored and the utility to researchers. Without that understanding, data publishers are left to wonder what fields must be anonymized to avoid legal fallout, while researchers question the confidence of results gained from the data. However, the extensive work done on micro- data anonymity provides the network research community with several useful insights about how to effectively apply anonymization to published data. At the same time, prior wisdom cannot be applied directly without first overcoming several challenges, including the development of appropriate privacy and utility definitions for the more complex case of network data. Addressing these challenges is essential, in our view, to ensure the continued, yet responsible, availability of network trace data to support security research.
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