Efficient Sanitization Design for LSM-based Key-Value Store over 3D MLC NAND Flash

Liang Chi Chen, Shu Qi Yu, Chien Chung Ho, Wei Chen Wang, Yung Chun Li

研究成果: Conference contribution

摘要

Conventional LSM tree designs delete data by inserting a delete mark to the specified key, and they thus it leaves several out-of-date values to the specified key on the LSM tree. As a result, the LSM tree encounters a serious data security issue due to the undeleted values when there arises the need for data sanitization. Sanitization is a time-consuming process that involves completely removing sensitive data from storage devices. Flash-based SSDs are widely used in many systems, but they lack an in-place update feature, which makes it difficult for LSM trees to maintain both privacy and performance on these devices. This work proposes an efficient sanitizable LSM-tree design for LSM-based key-value store over 3D NAND flash memories. Our proposed efficient sanitizable LSM-tree design focuses on integrating the processes of key-value pair updating and the execution of sanitization by exploiting our proposed influence-conscious programming method. The capability of the proposed design is evaluated by a series of experiments, for which we have very encouraging results.

原文English
主出版物標題Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023
發行者Association for Computing Machinery
頁面72-75
頁數4
ISBN(電子)9781450395175
DOIs
出版狀態Published - 2023 3月 27
事件38th Annual ACM Symposium on Applied Computing, SAC 2023 - Tallinn, Estonia
持續時間: 2023 3月 272023 3月 31

出版系列

名字Proceedings of the ACM Symposium on Applied Computing

Conference

Conference38th Annual ACM Symposium on Applied Computing, SAC 2023
國家/地區Estonia
城市Tallinn
期間23-03-2723-03-31

All Science Journal Classification (ASJC) codes

  • 軟體

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