Experimental Evaluation of Network Telemetry Anonymization for Cloud Based Security Analysis

Sashank Dara, Bhanu Prakash Gopularam, V. Muralidhara, N. Nalini
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引用次数: 2

Abstract

Network telemetry data is considered a gold mine for researchers for performing traffic analysis, QoS, security forensics, malware spread etc. Cloud Consumers could benefit from variety of Cloud based security services if such telemetry data is made available. But there is a compelling need for ensuring privacy of sensitive fields before data is shared with any Cloud provider. In this paper we provide thorough experimental evaluation of data anonymization techniques. We explore the viability of onion layered encryption techniques for practical security forensics on anonymized data. We provide results of such experiments and our analysis of the same. Our major observation is that onion layered techniques do not scale for more advanced analytic use cases.
基于云安全分析的网络遥测匿名化实验评估
网络遥测数据被认为是研究人员进行流量分析、QoS、安全取证、恶意软件传播等的金矿。如果提供这些遥测数据,云消费者可以从各种基于云的安全服务中受益。但是,在与任何云提供商共享数据之前,迫切需要确保敏感字段的隐私。在本文中,我们对数据匿名化技术进行了全面的实验评估。我们探索洋葱分层加密技术的可行性,用于匿名数据的实际安全取证。我们提供了这些实验的结果以及我们对此的分析。我们的主要观察是洋葱分层技术不能扩展到更高级的分析用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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