ER-index: A referential index for encrypted genomic databases

作者：

Highlights：

• A new encrypted referential full-text index for secure compressive genomics.

• Search times for patterns of few milliseconds with at least 97% savings in space.

• Users may operate only on sequences to which they were granted access.

• A detailed security analysis compares this approach versus current biobank services.

• A performance assessment w.r.t. a nearly optimal reference tool is provided.

摘要

•A new encrypted referential full-text index for secure compressive genomics.•Search times for patterns of few milliseconds with at least 97% savings in space.•Users may operate only on sequences to which they were granted access.•A detailed security analysis compares this approach versus current biobank services.•A performance assessment w.r.t. a nearly optimal reference tool is provided.

论文关键词：Data storage and retrieval,Full-text index,Compressive genomics

论文评审过程：Received 14 April 2020, Revised 25 September 2020, Accepted 20 October 2020, Available online 10 November 2020, Version of Record 17 November 2020.

论文官网地址：https://doi.org/10.1016/j.is.2020.101668