延展性弹性(高级)隐藏数据聚合

D. Westhoff, Osman Ugus
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引用次数: 11

摘要

本工作的目标是提出隐藏数据聚合(CDA)方法的扩展,该方法最初被发明用于允许对反向组播流量(即聚合流量)的加密数据进行某些形式的网络内处理。我们提出的延展性弹性隐藏数据聚合(MR-CDA)结合了最近提出的同态mac和加性同态加密方案,从而有助于检测恶意添加请求的外部攻击。将加密数据注入聚合加密数据格式。在这项工作的前瞻性部分,我们研究了可延展性弹性溢价隐藏数据聚合(MR-P-CDA),我们研究了原则上可用于提供最灵活形式的加密网络内处理的加密原语。虽然MR-CDA在计算性能方面进行了特别优化,但MR-P-CDA故意不考虑性能问题。相反,它的重点是在没有任何功能限制的情况下提供整体系统安全性。
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Malleability resilient (premium) Concealed Data Aggregation
It is the objective of this work to propose an extension of the Concealed Data Aggregation (CDA) approach which has originally been invented to allow some forms of in-network processing on encrypted data for reverse multicast traffic a.k.a. convergecast traffic. Extensions have been done with respect to two axes: Our proposed Malleability Resilient Concealed Data Aggregation (MR-CDA) combines recently presented homomorphic MACs with additively homomorphic encryption schemes and thus helps detecting outsider attacks which maliciously add resp. inject encrypted data to an aggregated encrypted data format. In the visionary part of this work with the malleability resilient premium concealed data aggregation (MR-P-CDA) we investigate what cryptographic primitives are in principle available to provide the most flexible form of encrypted in-network processing. Whereas the MR-CDA is in particular optimized with respect to its computational performance, the MR-P-CDA intentionally is not taking into account performance issues. Instead its focus is on the provisioning of an overall system security without any functional restrictions.
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