<![CDATA[precision medicine. However, the static and hereditary nature of genomic data poses significant privacy risks for individuals and their families. This article aims to conduct a systematic literature review of various modern cryptographic protocols designed to protect genomic data. The research method utilizes a Systematic Literature Review (SLR) approach, analyzing relevant literature from 2018 to 2026. The findings indicate that protocols such as Homomorphic Encryption (HE) and Secure Multi-party Computation (SMPC) offer robust protection but face challenges regarding computational efficiency and bandwidth. Differential Privacy (DP) provides an efficient alternative but carries risks of reduced data accuracy. In conclusion, securing genomic data requires hybrid models that integrate algorithmic efficiency with long-term resilience, particularly against quantum computing threats. Aligning these technologies with Indonesia's Personal Data Protection Law (UU PDP) is crucial for building a secure and credible national health data ecosystem.]]>
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