Robust Retina Biometric Enhanced Paillier Cryptosystem for Privacy Preserving of Medical Data Stored in Cloud Environment
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 10, Pages 2965-2978
AbstractIn recent years the usage of cloud storage is increased tremendously and it influences effective maintenance of big data with low cost. As the cloud provides open services there is a highest chance of security breaches. There are several security schemes are in existence to protect confidential information stored in cloud. But still there is a lack in preventing information integrity and intruders can break the security by tampering keys involved in encryption and decryption while using standard cryptographic algorithms. This paper mainly focuses on the data integrity and confidentiality of the ECG big data stored in Cloud. The proposed model Biometric enhanced Paillier Crypto System (BPCS) comprised of three different stages. Initially, the retina of the data owner is acquired, preprocessed using the fuzzy dynamic histogram equalization and its significant features are extracted using SIFT variance. These extracted features of retina are used by paillier cryptography to generate the public key and private key, instead of using random numbers. The encrypted file is then converted to digital signature using ElGamalAlgorithm. The ECG encrypted file along with digital signature is uploaded in the cloud. If the cloud users need to access the file, then they have to use the public key of the data owner and using user’s private key. They can verify the integrity of the file content by checking the hashing value. The simulation results evidenced the robustness of the BPCS by accomplishing security on cloud storage data more effectively and strongly while comparing with the standard security schemes.
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