Cloud Security: Implementation of SDAMO and SDADO Models to Evaluate Performance of IO-IO, IRs-IO, and IRs-IOs Use Cases
Mostly all traditional methods working with an objective is to provide security for information to protect data from access control. Some of the existing research overlooked on access control mechanisms works effectively with encoded information. Few of these approaches overlook various access control cases and owners of data who are requested can allowed to access data from one or more numbers of owners. Researchers mainly use aggregation functions and they ignored division and product operations on encoded information and in many application’s they will recommend using these kinds of operators. In this research, we proposed a new model of encoding using division and a product operation which provides privacy to information that are shared between users of a network. In this research, we combined two methods, one is secure data access using multiplication operator (SDAMO). Second one is secure data access using division operator (SDADO) to share information among different users. In this method we use multiple keys cryptography to provide computing information from one or more owners. In addition to that we combined encoded text with policy to apply encryption for complete information sharing that is requested by multiple users. Proposed model capable is to authenticate data as well as provide confidentiality to information. Performance of model is measured using metric like cost of computing and overhead of communication, our model shows better results and are suitable to use healthcare domain that are monitor through IoT devices.
Authors
- M. Giri
- K. Vishnuvardhan
- Thottempudi Naga Sri Yaswanth
- M Ankitha
- C. H. Ravikiran
- P. Ellamma
Institutions
- Siddhartha Medical College (IN)
- Government of Andhra Pradesh (IN)
Publication Details
- Published
- 2025-07-18
- DOI
- https://doi.org/10.1109/ciacon65473.2025.11189659
- Citations
- 3
- Primary Topic
- Cloud Data Security Solutions
- Type
- article
- Field-Weighted Citation Impact
- 9.74