Hardware-Supported ORAM in Effect: Practical Oblivious Search and Update on Very Large Dataset

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ID: 96897
2019
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Abstract
The ability to query and update over encrypted data is an essential feature to enable breach-resilient cyber-infrastructures. Statistical attacks on searchable encryption (SE) have demonstrated the importance of sealing information leaks in access patterns. In response to such attacks, the community has proposed the Oblivious Random Access Machine (ORAM). However, due to the logarithmic communication overhead of ORAM, the composition of ORAM and SE is known to be costly in the conventional client-server model, which poses a critical barrier toward its practical adaptations.
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thang2019hardwaresupportedproceedings Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Thang, Hoang;Ozgur, Ozmen Muslum;Yeongjin, Jang;A., Yavuz Attila;
Journal proceedings on privacy enhancing technologies
Year 2019
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