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Efficient Image Authentication Using Various Cryptosystems Approach

EasyChair Preprint no. 9919

14 pagesDate: March 31, 2023


Machine learning is the use and development of computer systems that are able to learn and adapt without following the instructions, by using algorithms and models. Without a proper
encryption, the data are vulnerable and can be easily breached. But by this model data can be shared securely and it ensures a high security which allows only authenticated users to access
the data. The existing model algorithms are insecure and does not provide high security. We proposed a model which helps to find the appropriate encryption algorithm which is secure
more quickly. It provides high security and high level encryption than the existing model. To improve security for the data saved on cloud storage, a hybrid cryptography solution is  suggested.The suggested method makes use of both the RSA and DES algorithms and offers  a mix of the two to increase the security of the data before it is stored in the cloud.The  suggested algorithm is tested on a sample plain text and implemented in Java.The proposed  algorithm's effectiveness in enhancing data security has been confirmed.

Keyphrases: Cloud Computing, Cloud Security, database, DES, Encryption, RSA, Security

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {V Ajaimarudhu and P Kalaiyarasan and S Manyadharshini and K Venkatesh Guru},
  title = {Efficient Image Authentication Using Various Cryptosystems Approach},
  howpublished = {EasyChair Preprint no. 9919},

  year = {EasyChair, 2023}}
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