2nd International Conference on Materials Science and Sustainable Manufacturing Technology
A Survey on Encryption Framework Against Insider Keyword-Guessing Attack in Cloud Storage
R.Subha, B.Suchithra, Sivaram C, Sumesh S, Vikram S, VimalKumar M, Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India.
A key component of data security in cloud computing systems is encryption. Encryption might not be enough,
though, to shield sensitive data from hostile intrusions. One such attack is the keyword guessing attack, in which an
attacker uses a variety of techniques to attempt to decipher a term from the encrypted data. In this research, we suggest a
system for encryption against a cloud computing keyword guessing attack. To achieve improved data security, the
framework combines encryption methods with a safe keyword retrieval system. The framework that is being developed
takes into account the difficulties that come with storing and retrieving encrypted data in cloud environments. Our test
findings demonstrate that the suggested framework successfully thwarts keyword guessing attacks while preserving the
data's confidentiality and integrity.
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Cite this article
R.Subha, B.Suchithra, Sivaram C, Sumesh S, Vikram S, VimalKumar M, “A Survey on Encryption Framework Against Insider Keyword-Guessing Attack in Cloud Storage”, Advances in Computational Intelligence in Materials Science, pp. 044-046, May. 2023. doi:10.53759/acims/978-9914-9946-9-8_8
