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Improved Secure Identification-Based Multilevel Structure of Data Sharing in Cloud Environments

Saraswathi Shunmuganathan1,*, Sridharan Kannan2, T. V. Madhusudhana Rao3, K. Ambika4, T. Jayasankar5

1 Department of Computer Science and Engineering, SSN College of Engineering, Chennai, Tamil Nadu, 603110, India
2 Department of Computer Science and Engineering, J. K. K. Munirajah College of Technology, Erode, Tamil Nadu, 638506, India
3 Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, 530049, India
4 Department of Computer Science and Engineering, University College of Engineering, BIT Campus, Anna University, Tiruchirappalli, Tamil Nadu, 620024, India
5 Department of Electronics and Communication Engineering, University College of Engineering, BIT Campus, Anna University, Tiruchirappalli, 620024, India

* Corresponding Author: Saraswathi Shunmuganathan. Email: email

Computer Systems Science and Engineering 2022, 43(2), 785-801.


The Cloud Computing Environment (CCE) developed for using the dynamic cloud is the ability of software and services likely to grow with any business. It has transformed the methodology for storing the enterprise data, accessing the data, and Data Sharing (DS). Big data frame a constant way of uploading and sharing the cloud data in a hierarchical architecture with different kinds of separate privileges to access the data. With the requirement of vast volumes of storage area in the CCEs, capturing a secured data access framework is an important issue. This paper proposes an Improved Secure Identification-based Multilevel Structure of Data Sharing (ISIMSDS) to hold the DS of big data in CCEs. The complex file partitioning technique is proposed to verify the access privilege context for sharing data in complex CCEs. An access control Encryption Method (EM) is used to improve the encryption. The Complexity is measured to increase the authentication standard. The active attack is protected using this ISIMSDS methodology. Our proposed ISIMSDS method assists in diminishing the Complexity whenever the user’s population is increasing rapidly. The security analysis proves that the proposed ISIMSDS methodology is more secure against the chosen-PlainText (PT) attack and provides more efficient computation and storage space than the related methods. The performance of the proposed ISIMSDS methodology provides more efficiency in communication costs such as encryption, decryption, and retrieval of the data.


Cite This Article

S. Shunmuganathan, S. Kannan, T. V. Madhusudhana Rao, K. Ambika and T. Jayasankar, "Improved secure identification-based multilevel structure of data sharing in cloud environments," Computer Systems Science and Engineering, vol. 43, no.2, pp. 785–801, 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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