Navigating the Intersections of Quantum Computing, DNA-Based Data Storage, and Geospatial Data Security: An Overview

In recent years, the intersection of quantum computing and bioinformatics has emerged as a captivating frontier, promising to reshape the landscape of biological sequence analysis. DNA's ability to store vast information and its stability make it a candidate for secure geospatial data storage. Quantum computing, exemplified by QKD, transforms encryption, enhancing security. Bio-inspired algorithms, emulating DNA sequences, optimise problem-solving. Combining these with quantum computing improves geospatial data security through protocol enhancements. Quantum bioinformatics explores quantum computing's potential in genetics and medicine, indirectly reinforcing data security. Integration of DNA-based storage with quantum encryption ensures highly secure data transmission. Geospatial data can be encoded in DNA sequences and encrypted for network transmission. This convergence promises enhanced data security, though implementation needs further research. Overall, these innovations hold potential for advancing geospatial data security.

Authors

Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/iccubea61740.2024.10774668
Citations
1
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.23
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article

Navigating the Intersections of Quantum Computing, DNA-Based Data Storage, and Geospatial Data Security: An Overview

Prajakta Bhangale, Shubhangi Vaikole
1 citations
DNA and Biological Computing
0.23
article

Navigating the Intersections of Quantum Computing, DNA-Based Data Storage, and Geospatial Data Security: An Overview

Prajakta Bhangale, Shubhangi Vaikole
article en
1 citations

Abstract

In recent years, the intersection of quantum computing and bioinformatics has emerged as a captivating frontier, promising to reshape the landscape of biological sequence analysis. DNA's ability to store vast information and its stability make it a candidate for secure geospatial data storage. Quantum computing, exemplified by QKD, transforms encryption, enhancing security. Bio-inspired algorithms, emulating DNA sequences, optimise problem-solving. Combining these with quantum computing improves geospatial data security through protocol enhancements. Quantum bioinformatics explores quantum computing's potential in genetics and medicine, indirectly reinforcing data security. Integration of DNA-based storage with quantum encryption ensures highly secure data transmission. Geospatial data can be encoded in DNA sequences and encrypted for network transmission. This convergence promises enhanced data security, though implementation needs further research. Overall, these innovations hold potential for advancing geospatial data security.

Openalex Percentile: Top 40%
DNA and Biological Computing
0.23
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