Title:Extended XOR Algorithm with Biotechnology Constraints for Data
Security in DNA Storage
Volume: 17
Issue: 5
Author(s): Kun Bi*, Zuhong Lu, Qinyu Ge and Wanjun Gu
Affiliation:
- State Key Laboratory of Bioelectronics, School of Biological Sciences and Medical Engineering, Southeast University,
Nanjing, Jiangsu 210096, China
Keywords:
Extended XOR algorithm, DNA storage, decryption; encryption, biotechnology constraints, DNA cryptography.
Abstract:
Background: DNA storage is becoming a global research hotspot in recent years, and today,
most research focuses on storage density and big data. The security of DNA storage needs to be observed.
Some DNA-based security methods were introduced for traditional information security problems.
However, few encryption algorithms considered the limitation of biotechnology and applied it for
DNA storage. The difference between DNA cryptography and the traditional one is that the former is
based on the limitation of biotechnology, which is unrelated to numeracy.
Objective: An extended XOR algorithm (EXA) was introduced for encryption with constraints of biotechnology,
which can solve the problems of synthesis and sequencing partly, such as GC content and
homopolymer in DNA storage.
Methods: The target file was converted by a quaternary DNA storage model to maximize the storage
efficiency. The key file could be ‘anything’ converted into a DNA sequence by a binary DNA storage
model to make the best utilization for the length of the key file.
Results: The input files were encrypted into DNA storage and decrypted to error-free output files.
Conclusion: This means error-free encryption DNA storage is feasible, and EXA paves the way for encryption
in large-scale DNA storage.
