Generating Aggregate Key for Group Data Sharing by Means of Cloud Data Storage
Main Article Content
Abstract
Sharing of encrypted data with various kinds of users via public cloud storage always leads to greater security concerns over many types of data leaks in the cloud. To make it possible, efficient generation of keys and their management should take place in developing schemes. In the situation of sharing any class of documents to any class of users demands various numbers of encryption keys for each document used. Further, need a large number of keys for keyword query searching for each document used. This increases the complexity in generating various numbers of keys for decrypting the document and decreases the efficiency of keyword query searching. This also makes the user to store large number of keys for both encryption and search which makes the situation impractical. In this we approached, by suggesting concept of key aggregate searchable encryption (KASE) and initializing the idea through a real KASE scheme, in which the data owner will send a single aggregate key of group of documents to group of authorized users, and the user will send a single trapdoor to the cloud server for keyword query searching.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJCERT Policy:
The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.
By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.
References
Baojiang Cui, Zheli Liu and Lingyu Wang :Key-Aggregate Searchable Encryption for Group Data Sharing via Cloud Storage, IEEE Transactions On Computers, Vol. 6, No. 1, January 2014
R. Lu, X. Lin, X. Liang, and X. Shen, “Secure Provenance:The Essential of Bread and Butter of Data Forensics in Cloud Computing”, Proc. ACM Symp. Information, Computer and Comm.Security, pp. 282-292, 2010.
X. Liu, Y. Zhang, B. Wang, and J. Yan. “Mona: secure multiowner data sharing for dynamic groups in the cloud”, IEEE Transactions on Parallel and Distributed Systems, 2013, 24(6): 1182-1191.
C. Chu, S. Chow,W. Tzeng, et al. “Key-Aggregate Cryptosystem for Scalable Data Sharing in Cloud Storage”, IEEE Transactions on Parallel and Distributed Systems, 2014, 25(2): 468-477.
X. Song, D.Wagner, A. Perrig. “Practical techniques for searches on encrypted data”, IEEE Symposium on Security and Privacy, IEEE Press, pp. 44C55, 2000.
R. Curtmola, J. Garay, S. Kamara, R. Ostrovsky. “Searchable symmetric encryption: improved definitions and efficient constructions”, In: Proceedings of the 13th ACM conference on Computer and Communications Security, ACM Press, pp. 79-88, 2006.
P. Van,S. Sedghi, JM. Doumen. “Computationally efficient searchable symmetric encryption”, Secure Data Management, pp.87-100, 2010.
S. Kamara, C. Papamanthou, T. Roeder. “Dynamic searchable symmetric encryption”, Proceedings of the 2012 ACM conference on Computer and communications security (CCS), ACM, pp. 965- 976, 2012.
D. Boneh, C. G, R. Ostrovsky, G. Persiano. “Public Key Encryption with Keyword Search”, EUROCRYPT 2004, pp. 506C522,2004.
Y. Hwang, P. Lee. “Public Key Encryption with Conjunctive Keyword Search and Its Extension to a Multi-user System”, In: Pairing-Based Cryptography C Pairing 2007, LNCS, pp. 2- 22, 2007.
J. Li, Q. Wang, C. Wang. “Fuzzy keyword search over encrypted data in cloud computing”, Proc. IEEE INFOCOM, pp. 1-5, 2010.
C. Bosch, R. Brinkma, P. Hartel. “Conjunctive wildcard search over encrypted data”, Secure Data Management. LNCS, pp. 114- 127, 2011.
C. Dong, G. Russello, N. Dulay. “Shared and searchable encrypted data for untrusted servers”, Journal of Computer Security, pp. 367-397, 2011.
F. Zhao, T. Nishide, K. Sakurai. Multi-User Keyword Search Scheme for Secure Data Sharing with Fine-Grained Access Control. Information Security and Cryptology, LNCS, pp. 406-418, 2012.
J. W. Li, J. Li, X. F. Chen, et al. “Efficient Keyword Search over Encrypted Data with Fine-Grained Access Control in Hybrid Cloud”, In: Network and System Security 2012, LNCS, pp. 490- 502, 2012.
J. Li, K. Kim. “Hidden attribute-based signatures without anonymity revocation”, Information Sciences, 180(9): 1681-1689, Elsevier, 2010.
X.F. Chen, J. Li, X.Y. Huang, J.W. Li, Y. Xiang. “Secure Outsourced Attribute-based Signatures”, IEEE Trans. on Parallel and Distributed Systems, DOI.ieeecomputersociety.org/10.1109/TPDS.2013. 180, 2013.
J.Li, X.F. Chen, M.Q. Li, J.W. Li, P. Lee, Wenjing Lou. “Secure Deduplication with Efficient and Reliable Convergent Key Management”, IEEE Transactions on Parallel and Distributed Systems, 25(6): 1615-1625, 2014.
Z. Liu, Z. Wang, X. Cheng, et al. “Multi-user Searchable Encryption with Coarser-Grained Access Control in Hybrid Cloud”, Fourth International Conference on Emerging Intelligent Data and Web Technologies (EIDWT), IEEE, pp. 249-255, 2013.
C. Wang, Q. Wang, K. Ren, and W. Lou, “Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing”, Proc. IEEE INFOCOM, pp. 525-533, 2010.
B. Wang, B. Li, and H. Li, “Knox: Privacy-Preserving Auditing for Shared Data with Large Groups in the Cloud”, Proc. 10thInt’l Conf. Applied Cryptography and Network Security, pp. 507- 525, 2012.
D. Boneh, C. Gentry, B. Waters.“ Collusion resistant broadcast encryption with short ciphertexts and private keys”, Advances in CryptologyCCRYPTO 2005, pp. 258-275, 2005.
D. H. Phan, D. Pointcheval, S. F. Shahandashti, et al. “Adaptive CCA broadcast encryption with constant-size secret keys and ciphertexts”, International journal of information