计算机科学
指纹(计算)
一致性(知识库)
可扩展性
数据挖掘
数据库
计算机安全
人工智能
作者
Tianxi Ji,Erman Ayday,Emre Yılmaz,Pan Li
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2022-04-24
卷期号:38 (Supplement_1): i143-i152
被引量:4
标识
DOI:10.1093/bioinformatics/btac243
摘要
Database fingerprinting has been widely used to discourage unauthorized redistribution of data by providing means to identify the source of data leakages. However, there is no fingerprinting scheme aiming at achieving liability guarantees when sharing genomic databases. Thus, we are motivated to fill in this gap by devising a vanilla fingerprinting scheme specifically for genomic databases. Moreover, since malicious genomic database recipients may compromise the embedded fingerprint (distort the steganographic marks, i.e. the embedded fingerprint bit-string) by launching effective correlation attacks, which leverage the intrinsic correlations among genomic data (e.g. Mendel's law and linkage disequilibrium), we also augment the vanilla scheme by developing mitigation techniques to achieve robust fingerprinting of genomic databases against correlation attacks.
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