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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM64260

Achieving A Data Secure Data Shared in Encrypted with Verification in Database

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64260

Volume:

10 |

5 |

May 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM64260

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MKR

Mr.M.Pavan Kumar Reddy

Computer Science & Engineering

Guru Nanak Institute of Technology

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CR

Chatlapally Rajeshwari

Computer Science & Engineering

Guru Nanak Institute of Technology

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BS

Bollam Swathi

Computer Science & Engineering

Guru Nanak Institute of Technology

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DS

Dhalasingal Swapna

Computer Science & Engineering

Guru Nanak Institute of Technology

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Abstract

This project aims to develop a Secure search techniques over encrypted cloud data allow an authorized user to query data files of interest by submitting encrypted query keywords to the cloud server in a privacy-preserving manner. However, in practice, the returned query results may be incorrect or incomplete in the dishonest cloud environment. For example, the cloud server may intentionally omit some qualified results to save computational resources and communication overhead. In this paper, we design a secure, easily integrated, and fine-grained query results verification mechanism, by which, given an encrypted query results set, the query user not only can verify the correctness of each data file in the set but also can further check how many or which qualified data files are not returned if the set is incomplete before decryption. The verification scheme is loose-coupling to concrete secure search techniques and can be very easily integrated into any secure query scheme. We achieve the goal by constructing secure verification object for encrypted cloud data., a short signature technique with extremely small storage cost is proposed to guarantee the authenticity of verification object and a verification object request technique is presented to allow the query user to securely obtain the desired .

KEYWORDS

Secure Data Sharing Secure Storage Attribute Based Encryption(ABE) Third Party Auditor(TPA) Java Virtual Machine(JVM) Symmetric Key Encryption.

Cite This Article

Mr.M.Pavan Kumar Reddy, Chatlapally Rajeshwari, Bollam Swathi, Dhalasingal Swapna, "Achieving A Data Secure Data Shared in Encrypted with Verification in Database," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-4, May 2026. https://doi.org/10.55041/IJSREM64260

Full Article/Conclusion

In this project, a secure data sharing system for encrypted databases with verification mechanisms has been presented. The proposed approach ensures that sensitive information stored in cloud environments remains confidential, secure, and accessible only to authorized users. By applying encryption techniques, the system protects data from unauthorized access and privacy breaches. The implementation of secure query processing enables users to retrieve encrypted data efficiently without exposing the original information to the cloud server. In addition, the verification mechanism ensures the correctness, completeness, and integrity of query results, thereby increasing user trust in cloud storage services.

References

[1] P. Mell and T. Grance, “The nist definition of cloud computing,” http://dx.doi.org/10.602/NIST.SP.800-145.  [2] K. Ren, C. Wang, and Q. Wang, “Security challenges for the public cloud,” IEEE Internet Computing, vol. 16, no. 1, pp. 69–73, 2012.  [3] S. Kamara and K. Lauter, “Cryptographic cloud storage,” in Springer RLCPS, January 2010. [4] D. Song, D. Wagner, and A. Perrig, “Practical techniques for searches on encrypted data,” in IEEE Symposiumon Security and Privacy, vol. 8, 2000, pp. 44–55.  [5] E.-J.Goh, “Secure indexes,” IACR ePrint Cryptography Archive, http://eprint.iacr.org/2003/216, Tech. Rep., 2003. [6] D. Boneh, G. D. Crescenzo, R. Ostrovsky, and G. Persiano, “Public-key encryption with keyword search,” in EUROCRYPR, 2004, pp. 506–522.  [7] R. Curtmola, J. Garay, S. Kamara, and R. Ostrovsky, “Searchable symmetricencryption:improveddeinitionsandefficientconstructions,” in ACM CCS, vol. 19, 2006, pp. 79–88. [8] M. Bellare, A. Boldyreva, and A. O’Neill, “Deterministic and efficiently searchable encryption,” in Springer CRYPTO, 2007.  [9] K. Kurosawa and Y. Ohtaki, “Uc-secure searchable symmetric encryption,” Lecture Notes in Computer Science, vol. 7397, pp. 258– 274, 2012.  [10] P. Xu, H. Jin, Q. Wu, and W. Wang, “Public-key encryption with fuzzy keyword search: A provably secure scheme under keyword guessing attack,” IEEE Transactions on Computers, vol. 62, no. 11, pp. 2266–2277, 2013. [11] S. Kamara and C. Papamanthou, “Parallel and dynamic searchable symmetric encryption,” in Financial Cryptography and Data Security. Springer Berlin Heidelberg, 2013, pp. 258–274. [12] M. Naveed, M. Prabhakaran, and C. A. Gunter, “Dynamic searchable encryption via blind storage,” in IEEE S&P, May 2014, pp. 639–654.  [13] C. Wang, N. Cao, J. Li, K. Ren, and W. Lou, “Secure ranked keyword search over encrypted cloud data,” in IEEE ICDCS, 2010, pp. 253–262.

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Publication Date

5/29/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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