Secure Genomic Data Processing by Homomorphic Encryption TechniquesAuthor(s): Abinaya B* and Santhi S
Background: Now a day, the processing of genomic data is growing tremendously and some concerns of outsourcing the genomic data are lack of security as it contains sensitive information about the individuals, computation time, and execution time is high due to the storage size.
Objective: Traditional cryptographic techniques require an unencrypted genomic dataset for computations. Here, there will be no control over the genomic data that is being processed in plaintext. To solve this, Homomorphic Encryption (HE) techniques are used for computation that takes place on encrypted data. This will give the same result as if it was processed in the plaintext.
Methods: In this paper, an encryption technique based on homomorphic encryption is used to secure genomic data for computation by comparing the techniques to achieve less execution time.
Results: The results obtained prove that BFV is more secure as it cannot be identified by intruders. It is fast when compared to other homomorphic encryption techniques.
Conclusion: The comparative study shows that BFV scheme is more efficient and gives quantum security.