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Paper ID:10.55041/IJSREM.RACCES067

SECURE AND EFFICIENT IOT DATA MANAGEMENT IN CLOUD ENVIRONMENTS VIA FORWARD-SECURE ATTRIBUTE-BASED SEARCHABLE ENCRYPTION

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM.RACCES067

Volume:

10 |

4 |

April 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem.RACCES067

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

SS

Sowmiya S

Computer Science & Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

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Mentors

SGR

Sri Gokulam R

Computer Science & Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

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Abstract

Attribute-Based Encryption (ABE) has emerged as an effective cryptographic technique for enforcing fine-grained access control in cloud environments. However, traditional ABE schemes face challenges such as key leakage, inefficient search operations, and lack of forward security. Forward security ensures that if a secret key is compromised at a certain time period, previously encrypted data remains protected. To address these issues, Forward-Secure Attribute-Based Searchable Encryption (FS-ABSE) is introduced to enable secure data storage and efficient keyword-based search over encrypted IoT data. The system allows authorized users to search encrypted data using secure trapdoors while maintaining confidentiality and access control. The proposed approach enhances data security, prevents unauthorized access, and ensures efficient data retrieval in large-scale IoT-cloud environments.

KEYWORDS

Keywords: Attribute-based encryption puncturable encryption searchable encryption self-controlled data deletion forward security

Cite This Article

Sowmiya S, Sri Gokulam R, "SECURE AND EFFICIENT IOT DATA MANAGEMENT IN CLOUD ENVIRONMENTS VIA FORWARD-SECURE ATTRIBUTE-BASED SEARCHABLE ENCRYPTION," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-6, April 2026. https://doi.org/10.55041/ijsrem.RACCES067

Full Article/Conclusion

In this work, we proposed a Forward-Secure Attribute-Based Searchable Encryption (FS-ABSE) framework to enable secure and efficient management of IoT data in cloud environments. The system integrates attribute-based encryption, searchable encryption, and forward security, ensuring that data remains confidential and accessible only to authorized users, even in the event of key compromise. The framework supports secure keyword search over encrypted data through a trapdoor mechanism, enforces fine-grained access control based on user attributes, and maintains efficient performance suitable for large-scale IoT deployments. Experimental results confirm that FS-ABSE effectively balances security, privacy, and search efficiency, making it a practical solution for cloud-assisted IoT systems.

References

1. Abdulsalam, Y. S., & Hedabou, M. (2021). Security and privacy in cloud computing: technical review.Future Internet, 14(1), 11.   2. Agrawal, D., Das, S., & El Abbadi, A. (2022). Data Management in the Cloud. Springer Nature.   3. S.Kamara and K.Lauter discuss "C cryptographic cloud storage." Springer,Heidelberg.In RLCPS, January 2021 LNCS.[3] A. Singhal, "A quick introduction of model   4. F. Li, J. Ma, Y. Miao, X. Liu, J. Ning, and R. H. Deng, ‘‘A surveyon searchable symmetric encryption,’’ ACM Computing Surveys, vol. 56,no. 5, pp. 1–42, 2023.   5. "Privacy preserving  keyword searches  on remote encrypted data," in Proceedings of the American Computer Network, 2021, by Y.-C. Chang and M. Mitzenmacher.   6. Q. Huang, G. Yan, and Q. Wei, ‘‘Attribute-based expressive and ranked keyword search over encrypted documents in cloud computing,’’ IEEE Transactions on Services Computing, vol. 16, no. 2, pp. 957–968, 2022.   7. F. Li, J. Ma, Y. Miao, X. Liu, J. Ning, and R. H. Deng, ‘‘A survey on searchable symmetric encryption,’’ ACM Comput. Surv., vol. 56, no. 5,pp. 1–42, May 2024.   8. J. Li, Y. Zhang, J. Ning, X. Huang, G. S. Poh, and D. Wang, ‘‘Attribute based encryption with privacy protection and accountability for CloudIoT,’’ IEEE Trans. Cloud Comput., vol. 10, no. 2, pp. 762–773, Apr. 2022   9. S. Chen, J. Li, Y. Zhang, and J. Han, ‘‘Efficient revocable attribute-based encryption with verifiable data integrity,’’ IEEE Internet Things J., vol. 11,no. 6, pp. 10441–10451, Mar. 2024.   10. Agrawal, R., Singhal, S., & Sharma, A. (2024). Blockchain and fog computing model for secure data access control mechanisms for distributed data storage and authentication using hybrid encryption algorithm. Cluster Computing, 27(6), 8015-8030.  

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5/1/2026

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