International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 5, Issue 1 (January 2018), Pages: 15-23

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 Original Research Paper

 Title: Dynamic and secure unstructured data sharing in multi-cloud storage using the hybrid crypto-system

 Author(s): K. Subramanian 1, F. Leo John 2, *

 Affiliation(s):

 1P. G. and Research Department of Computer Science, H. H. The Rajah’s College, Pudukkottai, India
 2P. G. and Research Department of Computer Science, J. J College of Arts and Science (Autonomous), Pudukkottai, India

 https://doi.org/10.21833/ijaas.2018.01.003

 Full Text - PDF          XML

 Abstract:

The aim of the paper is to offer an architectural framework to help in securing data sharing processes in the multi-cloud storage. For example, the paper highlights the ways of achieving a secure data sharing through the application of the cryptographic index-based data slicing techniques. It seeks to prevent malicious insider through data encryption using 3DES in every part of the file and RSA for the encryption of private key. In addition this work also enhances the privacy of secure data sharing using dynamic file slicing in which customer can define the number of file parts to be sliced using the framework interface. This architecture solves the key management and key distribution problem. The proposed algorithm uses self-protection or counter attack mechanism in order to safe guard cloud infrastructure from malicious files. The cloud-storage of information is a security-intensive process because a multi-cloud process entails a collection of storage servers. The framework only searches for the file in the multi-cloud server when the receiver inputs the file name and the private key. Moreover, it is the only way of accessing the file. This study focused on multi-cloud storage. The life cycle of the data involves three stages that include data input, transition, and usage. The report is more about cloud storage and transition. The experimental and numerical results shows the efficiency of the various file formats and privacy gets increased through dynamic file slicing which in turn increases the trustworthy of the customers. The data security increase during cloud-storage due to cryptographic and encryption techniques. Cloud storage is important for the organization those who are doing online process. Therefore, it is benefit to them to access secure data storage and transfer processes. 

 © 2017 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Multi-cloud storage, Malicious insider, Malicious files, Dynamic index based data slicing, Cryptography, Data sharing, 3DES

 Article History: Received 25 May 2017, Received in revised form 18 October 2017, Accepted 11 November 2017

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.01.003

 Citation:

 Subramanian K and John FL (2018). Dynamic and secure unstructured data sharing in multi-cloud storage using the hybrid crypto-system. International Journal of Advanced and Applied Sciences, 5(1): 15-23

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I1/Subramanian.html

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 References (14)

  1. Ali M, Dhamotharan R, Khan E, Khan SU, Vasilakos AV, Li K, and Zomaya AY (2017). SeDaSC: Secure data sharing in clouds. IEEE Systems Journal, 11(2): 395-404. https://doi.org/10.1109/JSYST.2014.2379646 
  2. Balasaraswathi VR and Manikandan S (2014). Enhanced security for multi-cloud storage using cryptographic data splitting with dynamic approach. In the International Conference on Advanced Communication Control and Computing Technologies, IEEE, Ramanathapuram, India: 1190-1194. https://doi.org/10.1109/ICACCCT.2014.7019286 
  3. Borazjani PN (2017). Security Issues in Cloud Computing. In the International Conference on Green, Pervasive, and Cloud Computing, Cham, Springer, Cetara, Italy: 800-811. https://doi.org/10.1007/978-3-319-57186-7_58 
  4. Fabian B, Ermakova T, and Junghanns P (2015). Collaborative and secure sharing of healthcare data in multi-clouds. Information Systems, 48: 132-150. https://doi.org/10.1016/j.is.2014.05.004 
  5. Han Y, Chan J, Alpcan T, and Leckie C (2017). Using virtual machine allocation policies to defend against co-resident attacks in cloud computing. IEEE Transactions on Dependable and Secure Computing, 14(1): 95-108.     
  6. Junghanns P, Fabian B, and Ermakova T (2016). Engineering of secure multi-cloud storage. Computers in Industry, 83: 108-120. https://doi.org/10.1016/j.compind.2016.09.001 
  7. Levitin G, Xing L, and Dai Y (2017). Optimal data partitioning in cloud computing system with random server assignment. Future Generation Computer Systems, 70: 17-25. https://doi.org/10.1016/j.future.2016.12.025 
  8. Razaque A, Nadimpalli SSV, Vommina S, Atukuri DK, Reddy DN, Anne P, and Malllapu VS (2016). Secure data sharing in multi-clouds. In the International Conference on Electrical, Electronics, and Optimization Techniques, IEEE, Chennai, India: 1909-1913. https://doi.org/10.1109/ICEEOT.2016.7755020 
  9. Satapathy SC, Bhateja V, Raju KS, andJanakiramaiah B (2016). Computer communication, networking and internet security (Volume 5). Springer Singapore, Singapore.     
  10. Subramanian K and John FL (2017a). Enhanced security for data sharing in multi cloud storage (SDSMC). International Journal of Advanced Computer Science and Applications, 8(3): 176-185.     
  11. Subramanian K and John FL (2017b). Secure and reliable unstructured data sharing in multi-cloud storage using the hybrid crypto system. International Journal of Computer Science and Network Security, 17(6): 196-206     
  12. Vaidya MB and Nehe S (2015). Data security using data slicing over storage clouds. In the International Conference on Information Processing, IEEE, Pune, India: 322-325. https://doi.org/10.1109/INFOP.2015.7489401 
  13. Xu P, Liu X, Sheng Z, Shan X, and Shuang K (2015). SSDS-MC: slice-based secure data storage in multi-cloud environment. In the 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, IEEE, Taipei, Taiwan: 304-309. https://doi.org/10.4108/eai.19-8-2015.2260679 
  14. Zibouh O, Dalli A, and Drissi H (2016). Cloud computing security through parallelizing fully homomorphic encryption applied to multi-cloud approach. Journal of Theoretical and Applied Information Technology, 87(2): 300-307.