BEDCrypt: 基于同态加密的隐私保护区间分析
BEDCrypt: Privacy-preserving interval analytics with homomorphic encryption
AI总结：
BEDCrypt是一种基于同态加密的隐私保护系统，用于实现基因组区间分析，确保数据和查询位置的安全性。
摘要：
动机。基因组数据和衍生的区间数据集可能包含敏感信息，而分析本身也可能揭示分析者的意图。随着基因组工作负载越来越多地外包给第三方基础设施，需要能够保护数据和查询位置的隐私保护技术。结果。我们提出了BEDCrypt，这是一种基于同态加密的隐私保护系统，用于基因组区间分析，在诚实但好奇的服务器设置下运行。服务器仅在加密数据上操作，并返回加密答案，由客户端本地解密，从而实现了核心功能，如覆盖总结、区间交集、接近性（窗口式）查询和集合相似性统计，而不会向服务器暴露明文区间或查询基因组位置。
英文摘要：
Motivation. Genomic data and derived interval datasets can carry sensitive information, and the analysis itself can reveal an analyst's intent. As genomic workloads are increasingly outsourced to third-party infrastructure, there is a need for privacy-preserving technologies that protect both the data and the queried loci. Results. We present BEDCrypt, a privacy-preserving system for genomic interval analytics based on homomorphic encryption in an honest-but-curious server setting. The server operates only on encrypted data and returns encrypted answers that the client decrypts locally, enabling core functionalities such as coverage summaries, interval intersections, proximity (window-style) queries, and set-similarity statistics, without revealing plaintext intervals or query genomic locations to the server.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
