Papers by Dr. Lakshmi Praveena Bellamkonda
International Journal of Computer Applications (0975 – 8887), 2013
Online information maintenance through cloud applications allows users to store, manage, control ... more Online information maintenance through cloud applications allows users to store, manage, control and share their information with other users as well as Cloud service providers. There have been serious privacy concerns about outsourcing user information to cloud servers. But also due to an increasing number of cloud data security incidents happened in recent years. Proposed system is a privacypreserving system using Attribute based Multifactor Authentication. Proposed system provides privacy to users data with efficient authentication and store them on cloud servers such that servers do not have access to sensitive user information. Meanwhile users can maintain full control over access to their uploaded files and data, by assigning finegrained, attribute-based access privileges to selected files and data, while different users can have access to different parts of the System. This application allows clients to set privileges to different users to access their data.
International Journal of Engineering Sciences Research-IJESR, 2013
Managing health records in online is an emerging model for heath information exchange. It allows ... more Managing health records in online is an emerging model for heath information exchange. It allows patients to create, manage, control and share their health information with other users as well as health care providers. There have been serious privacy concerns about outsourcing patient health information to cloud servers. But also due to an increasing number of cloud data breach incidents happened in recent years. Proposed system is a privacy-preserving Health system using Attribute based Multifactor Authentication. In this system, patients can provide privacy to their data with efficient authentication and store them on cloud servers such that servers do not have access to sensitive health contexts. Meanwhile patients maintain full control over access to their health files, by assigning fine-grained, attribute-based access privileges to selected data, while different users can have access to different parts of the System. This application allows clients to set privileges to different users to access their data.
Biomedical Signal Processing and Control ( Q1), 2024
Pandemics and the growing relevance of healthcare have shown the importance of a person's quality... more Pandemics and the growing relevance of healthcare have shown the importance of a person's quality of life. However, accurate prediction of these diseases with lesser error probability is quite difficult using the existing single network model. To overcome these issues, a hybrid Depp Neural Network-Random Forest (DNN-RF) model is developed. Initially, data related to different diseases are collected and preprocessed by employing min-max normalization and K-nearest Neighbour (KNN) based missing value imputation. Dimension of the preprocessed data is reduced using Truncated Singular Value Decomposition (TSVD). In TSVD, number of components is optimally selected based on dingo optimization algorithm. Finally, a hybrid DNN-RF classifier is utilized for predicting the disease. The experimental analysis shows that the suggested strategy achieves 96.2% accuracy, 96% precision, and 95% specificity. Thus, the diagnosis can be made easier using this automated model, and treatment can be provided at earlier stage to reduce the rate of mortality.
2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Papers by Dr. Lakshmi Praveena Bellamkonda