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A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future
Garima Mathur1, Anjana Pandey2, Sachin Goyal2
1Department of Computer Science and Engineering, UIT, RGPV, Bhopal, India.
Multimedia Tools and Applications
|June 26, 2023
Summary
Securing genetic data is crucial for disease prediction. This paper surveys healthcare data breaches and explores blockchain technology for encrypting DNA sequences, enhancing disease identification through DNA classification.
Area of Science:
- Biological Science
- Genomics
- Bioinformatics
Background:
- DNA sequences contain vital genomic information for disease prediction.
- The National Center for Biotechnology Information (NCBI) database holds vast genetic data, posing significant security challenges.
- Healthcare data breaches are a growing concern, necessitating robust security measures.
Purpose of the Study:
- To survey healthcare data breaches and the need for enhanced security in genomic databases.
- To explore the application of blockchain technology for encrypting sensitive DNA sequences.
- To review research on DNA sequence classification for early disease identification.
Main Methods:
- Literature review of healthcare data breaches.
- Analysis of blockchain technology's applicability in healthcare data security.
- Evaluation of existing research on DNA sequence classification methods.
Main Results:
- Identified significant risks associated with large-scale genetic sequence databases.
- Highlighted the potential of blockchain technology to improve the security of healthcare data.
- Assessed the current landscape of DNA classification techniques for disease prediction.
Conclusions:
- Blockchain technology offers a promising solution for securing sensitive genetic information.
- DNA sequence classification is a key area for advancing early disease detection.
- Further research is needed to integrate blockchain security with DNA classification for improved healthcare outcomes.
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