Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India.
The growth of the data worldwide is extremely fast and the data growth statistics and predictions are really worth consideration when infrastructure, storage and retrieval are involved. Increasing amount of data is set to reach 175 zettabytes by 2025 and also increasing 51% of this data will exist in data centers while the remainder of 49% is expected to be stored on the public cloud. Sadly, there is a split in the predictive formats, and it states 80% of it will remain in unstructured format. Ultimately, storing and retrieving such a big size of data is not possible without the MapReduce concept. The MapReduce (MR) model which works on big data is best suited to process existing medical data and fine tune the prediction systems. This work focuses on securely accessing the medical data (in this case diabetes data) over the cloud and the data are structured followed by feature extraction and clustering using modified naïve bayes classifier (MNBC) for building a better prediction system. Since this method utilized the MR model for processing, the final classification is done and verified against using k-fold validation techniques.
Keywords
Big Data Analytics, Healthcare Prediction, Diabetes Classification, Hadoop Mapreduce, Elliptic Curve Cryptography, Modified Naive Bayes Classifier, Feature Selection, Principal Component Analysis, Distributed Computing, Data Security.
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CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Selvam L, Thresa Jeniffer J, Pandi Maharajan M, Saravanan S, Jaiganesh M and Ramkumar S;
Methodology: Selvam L, Thresa Jeniffer J and Pandi Maharajan M;
Writing- Original Draft Preparation: Selvam L, Thresa Jeniffer J and Pandi Maharajan M;
Supervision: Selvam L, Thresa Jeniffer J and Pandi Maharajan M;
Writing- Reviewing and Editing: Selvam L, Thresa Jeniffer J, Pandi Maharajan M, Saravanan S, Jaiganesh M and Ramkumar S;
All authors reviewed the results and approved the final version of the manuscript.
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Selvam L
Department of Computer Science and Engineering (Cyber Security), SRM Madurai College for Engineering and Technology, Madurai, Tamil Nadu, India.
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Cite this article
Selvam L, Thresa Jeniffer J, Pandi Maharajan M, Saravanan S, Jaiganesh M and Ramkumar S, “A Secure System for Accessing the Big Data Over the Scattered Cloud Information Center Using C-Hadoop”, Journal of Machine and Computing, vol.5, no.4, pp. 1971-1983, October 2025, doi: 10.53759/7669/jmc202505154.
