Privacy-Preserving and Ranked Search Using Advanced Multi-Keyword Scheme Over the Encrypted Cloud Environment
Main Article Content
Abstract
In order to enable users to extract useful insights on demand, this paper presents a unique approach for secure and privacy-preserving ranked search in cloud environments. There is a rising need for strong systems that strike a balance between data utility and individual privacy as cloud-based data processing and storage become more and more prevalent. Our suggested methodology makes use of sophisticated multi-keyword operators and encryption methods to offer a safe and effective solution for cloud-based ranked search that protects privacy. Our methodology's essential component is the combination of a safe encryption technique and sophisticated multi-keyword search operators. With this combination, users can do ranked searches on encrypted data while maintaining the privacy of the underlying data. Our approach leverages strong cryptography protocols and an advanced indexing mechanism to provide rapid retrieval of relevant results while protecting confidential information from unauthorized individuals. Secure query processing techniques and encryption are added for added privacy protection. This guarantees that throughout the ranking search operations, the decrypted data cannot be accessed by the cloud service provider or any other parties participating in the data processing pipeline. Users don't have to compromise the privacy of their stored data or expose the exact text of their queries to obtain ranked results based on several keywords. Our technology is especially useful in situations when customers need instantaneous insights from data stored in the cloud without compromising privacy. Our technology protects the secrecy of the underlying datasets while enabling customers to obtain secure insights on demand in a variety of sensitive sectors, including financial analysis and medical research. The suggested method offers a strong and adaptable way to achieve privacy-preserving ranked search in cloud environments. Through the incorporation of sophisticated multi-keyword operators and encryption strategies, our approach guarantees users may effectively obtain pertinent data while maintaining personal privacy. With its ability to provide safe, anytime access to insights stored in cloud-based data repositories, this breakthrough has enormous potential for a variety of applications.
Article Details
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
References
Singh, A., & Mukhopadhyay, S. (2022). Greedy DFS-based Ranked Search for Large Graphs. In 2022 IEEE International Conference on Data Engineering (ICDE) (pp. 610-621). IEEE.
Zhou, Q., Liu, H., Liu, Y., & Huang, Y. (2021). A Fast Greedy DFS-Based Ranked Search Method for Large-Scale Graphs. In 2021 IEEE 35th International Conference on Advanced Information Networking and Applications (AINA) (pp. 1485-1492). IEEE.
Chen, Y., Zhang, Y., & Sun, Y. (2021). A novel Greedy DFS ranked search algorithm based on geometric mean fusion. Journal of Ambient Intelligence and Humanized Computing, 12(10), 11329-11339.
Sun, Y., Zhang, Y., & Liu, M. (2020). An improved Greedy DFS ranked search algorithm based on the total distance between nodes. Cluster Computing, 23(4), 3051-3061.
Luo, X., & Peng, Y. (2020). A novel Greedy DFS ranked search algorithm based on the weight of edges. IEEE Access, 8, 42404-42413.
C. Chang, W. T. Tsai, and Y. H. Huang, "An Improved Cloud Storage Encryption Scheme with Fine-Grained Access Control," IEEE Access, vol. 8, pp. 24017-24027, 2020
R. Zou, J. Wang, X. Liu, and J. Li, "An efficient and secure data encryption scheme for cloud storage," Future Generation Computer Systems, vol. 105, pp. 131-144, 2020
M. R. Islam, M. S. Hossain, and S. A. S. Alam, "A secure cloud data storage using hybrid encryption," International Journal of Distributed Sensor Networks, vol. 16, no. 2, pp. 1550147719899461, 2020.
P. Singh, P. Sharma, and R. K. Singh, "Efficient Cloud Storage Data Security Model Using Hybrid Encryption Algorithm," Wireless Personal Communications, vol. 117, no. 3, pp. 2171-2188, 2021.
S. Arshad, S. Ahmad, and A. Khan, "A Survey of Data Encryption Techniques for Cloud Computing," Journal of Ambient Intelligence and Humanized Computing, vol. 12, no. 2, pp. 1977-2000, 2021.
Wang, J., Li, Y., & Li, T. (2018). A cloud data search method based on DFS algorithm. Journal of Physics: Conference Series, 1069(1), 012005.
Garg, S., Gupta, S., & Garg, P. (2019). Cloud data search using DFS and greedy algorithms. International Journal of Computer Applications, 182(22), 1-5.
Chiang, Y. S., Huang, H. Y., & Chang, K. C. (2016). A depth-first search approach for searching cloud data. Journal of Information Science and Engineering, 32(5), 1299-1314.
Zou, D., Jiang, Y., & Yu, H. (2017). Cloud data search based on DFS algorithm with dynamic threshold. Journal of Computational and Theoretical Nanoscience, 14(7), 3246-3251.
Liu, X., Wang, X., & Zhang, Y. (2015). A DFS-based search algorithm for cloud data. Journal of Convergence Information Technology, 10(9), 43-50.
Raj, S. R., Chaudhari, V., & Sardeshmukh, S. R. (2018). Cloud data searching using DFS and A* algorithm. International Journal of Computer Applications, 181(2), 28-32.
Li, Y., Wang, J., & Li, T. (2019). Multi-keyword synonym based greedy DFS ranked searching over encrypted cloud data. Journal of Ambient Intelligence and Humanized Computing, 10(2), 559-571.
Chauhan, S., & Rajput, V. S. (2021). Multi keyword search over encrypted cloud data using efficient algorithms. Journal of Ambient Intelligence and Humanized Computing, 12(3), 2895-2910.
Chen, Y., Yang, X., & Huang, J. (2020). A novel multi-keyword search scheme over encrypted cloud data based on dynamic dictionary. Security and Communication Networks, 2020, 1-10.
Almorsy, M., Taherizadeh, S., & Jalili, R. (2016). Multi-keyword ranked search over encrypted cloud data. Journal of Parallel and Distributed Computing, 94, 164-173.
Li, X., Chen, Y., & Zhang, Y. (2020). A secure multi-keyword search scheme over encrypted cloud data based on double-lock technique. Journal of Ambient Intelligence and Humanized Computing, 11(4), 1693-1704.
Yu, C., & Chen, K. (2018). Multi-keyword search over encrypted cloud data based on parallel sliding window technique. Journal of Ambient Intelligence and Humanized Computing, 9(2), 439-449.
Zhang, X., Liu, J., & Liu, X. (2019). Multi-keyword search over encrypted cloud data based on query expansion and relevance feedback. International Journal of Security and Its Applications, 13(5), 153-162.
Wu, S., Wu, X., & Zhou, C. (2017). Multi-keyword search over encrypted cloud data using efficient index and trapdoor permutation. Journal of Systems and Software, 129, 122-133.
Kim, H., Kang, H., & Kim, K. (2018). Multi-keyword search over encrypted cloud data with efficient index construction. Journal of Ambient Intelligence and Humanized Computing, 9(2), 389-401.
Li, Y., Li, G., Li, X., & Liu, X. (2021). A greedy algorithm for joint backup path selection in software-defined networks. Journal of Ambient Intelligence and Humanized Computing, 12(6), 6581-6591.
Gupta, A., & Gupta, R. (2019). Multi-Keyword Search Techniques in Cloud Computing. International Journal of Computer Applications, 180(22), 14-18. doi: 10.5120/ijca2019919216
Liu, D., Zhao, J., & Feng, J. (2018). Multi-keyword search over encrypted cloud data with scoring mechanism. Future Generation Computer Systems, 86, 1267-1275. doi: 10.1016/j.future.2017.09.039
Liu, L., Wang, S., & Wang, C. (2018). Efficient multi-keyword ranked search over encrypted cloud data. Information Sciences, 451, 204-215. doi: 10.1016/j.ins.2018.04.032
Ren, Y., Liu, J., Xie, Z., & Chen, J. (2020). Multi-keyword search with semantic similarity for encrypted cloud storage. Journal of Ambient Intelligence and Humanized Computing, 11(2), 623-631. doi: 10.1007/s12652-019-01406-1
Wang, Y., & Cui, W. (2019). A privacy-preserving multi-keyword ranked search scheme over encrypted cloud data. Security and Communication Networks, 2019, 1-9. doi: 10.1155/2019/3863912
Xie, Y., Xu, C., Ren, Y., & Huang, H. (2021). An Efficient Multi-Keyword Search Scheme over Encrypted Cloud Data with Access Control. IEEE Access, 9, 79711-79721. doi: 10.1109/ACCESS.2021.3085758
Zhang, J., Li, X., & Li, J. (2019). Multi-keyword ranked search over encrypted cloud data with efficient similarity calculation. Journal of Ambient Intelligence and Humanized Computing, 10(3), 1229-1239. doi: 10.1007/s12652-017-0626-2
Zhang, R., Zhu, Y., & Du, H. (2018). A privacy-preserving multi-keyword search scheme over encrypted cloud data. International Journal of Communication Systems, 31(11), e3584. doi: 10.1002/dac.3584
Zhao, X., Liu, D., & Zhang, Y. (2018). Multi-keyword search over encrypted cloud data using attribute-based encryption. Information Sciences, 441-442, 49-62. doi: 10.1016/j.ins.2018.01.032
Zhou, Y., & Wang, S. (2019). Privacy-preserving multi-keyword search over encrypted cloud data with efficient ranking. Information Sciences, 481, 438-447. doi: 10.1016/j.ins.2018.12.002
Liu, Y., He, X., Li, Y., & Li, S. (2021). Secure multi-keyword search with privacy-preserving and efficient retrieval over encrypted cloud data. Journal of Parallel and Distributed Computing, 151, 111-120. doi: 10.1016/j.jpdc.2020.12.010
Lu, Z., Wei, Y., & Li, Y. (2019). Multi-keyword search over encrypted cloud data with efficient trapdoor update. Computer Communications, 136, 82-90. doi: 10.1016/j.comcom.2019.01.021
Ma, J., Li, L., & Li, X. (2020). Privacy-preserving multi-keyword search over encrypted cloud data based on improved TF-IDF. Journal of Ambient Intelligence and Humanized Computing, 11(5), 1905-1914. doi: 10.1007/s12652-019-01487-x
Peng, X., Huang, D., Chen, Y., & Zhang, Y. (2020). Multi-keyword ranked search over encrypted cloud data using dynamic indexes. Future Generation Computer Systems, 102, 898-908. doi: 10.1016/j.future.2019.08.042
Shi, X., He, X., & Chen, Y. (2019). Privacy-preserving multi-keyword search over encrypted cloud data using fuzzy keyword search. Future Generation Computer Systems, 91, 163-172. doi: 10.1016/j.future.2018.08.028
Song, W., Lu, Y., Ma, J., & Wang, S. (2019). Multi-keyword search over encrypted cloud data with efficient index and trapdoor updating. Journal of Network and Computer Applications, 124, 108-115. doi: 10.1016/j.jnca.2018.09.007
Wang, L., Wang, S., & Liu, L. (2019). Privacy-preserving multi-keyword search over encrypted cloud data with efficient query delegation. Journal of Parallel and Distributed Computing, 124, 141-152. doi: 10.1016/j.jpdc.2018.10.011
Wang, Q., Cai, L., & Yang, X. (2019). A dynamic multi-keyword ranked search scheme over encrypted cloud data. Future Generation Computer Systems, 97, 192-202. doi: 10.1016/j.future.2019.01.054
Wei, Y., Xu, L., & Li, Y. (2020). Efficient multi-keyword search over encrypted cloud data with attribute-based encryption. Journal of Network and Computer Applications, 166, 102723. doi: 10.1016/j.jnca.2020.102723
Wu, H., Li, H., Li, Y., & Li, M. (2019). Efficient multi-keyword search over encrypted cloud data with fuzzy keyword search. Journal of Network and Computer Applications, 126, 1-9. doi: 10.1016/j.jnca.2018.12.005
Xie, X., He, X., & Chen, Y. (2020). A privacy-preserving multi-keyword search scheme over encrypted cloud data using bloom filters. Information Sciences, 511, 132-142. doi: 10.1016/j.ins.2019.08.024
Cai, Y., Qin, Z., & Bai, X. (2019). A novel search algorithm for cloud data storage based on inverted index. International Journal of Advanced Computer Science and Applications, 10(2), 346-351. doi: 10.14569/IJACSA.2019.0100249
Chen, Q., & Liu, X. (2017). Cloud data storage search algorithms: A survey. Journal of Cloud Computing, 6(1), 1-16. doi: 10.1186/s13677-017-0082-8
Hong, Y., Zhu, J., Yang, Y., & Liu, J. (2021). Design and implementation of a distributed search algorithm for cloud data storage. Journal of Ambient Intelligence and Humanized Computing, 12(1), 321-332. doi: 10.1007/s12652-020-02438-5
Liu, Y., Wang, C., & Huang, L. (2020). Cloud data storage search algorithm based on trie tree and inverted index. Cluster Computing, 23(2), 1237-1247. doi: 10.1007/s10586-020-03155-9