BEDCrypt: Privacy-preserving interval analytics with homomorphic encryption
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arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866915816623046656 |
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| author | Provatas, Kimon Antonios Georgakopoulos-Soares, Ilias |
| author_facet | Provatas, Kimon Antonios Georgakopoulos-Soares, Ilias |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2602_21994 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | BEDCrypt: Privacy-preserving interval analytics with homomorphic encryption Provatas, Kimon Antonios Georgakopoulos-Soares, Ilias Genomics 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. |
| title | BEDCrypt: Privacy-preserving interval analytics with homomorphic encryption |
| topic | Genomics |
| url | https://arxiv.org/abs/2602.21994 |