ZIKA Virus: A Secure System USINF NBN Classifier for Predicting and Preventing ZIKA in Cloud
B. Mahalakshmi1, G. Suseendran2
1B. Mahalakshmi, Ph.D. Research Scholar, Department of Computer Science, School of Computing Science, Vels Institute of Science, Technology & Advanced Studies VISTAS, Chennai (Tamil Nadu), India.
2G. Suseendran, Assistant Professor, Department of Information Technology, School of Computing Science, Vels Institute of Science, Technology & Advanced Studies VISTAS, Chennai (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 25 December 2018 | Manuscript Published on 24 January 2019 | PP: 28-32 | Volume-7 Issue-4S2 December 2018 | Retrieval Number: Es2035017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: One of the upcoming mosquitoes borne disease is Zika Virus which is spreading rapidly around the world. The traditional ways of detecting Zika Virus are not much effective. To overcome a proposed method of cloud based system is developed with the combination of cloud computing mobile phones, fog computing finally IoT for sensing the mosquitoes. Here fog computing acts as a bond between cloud and user for reducing the latency level and increasing the processing speed. A NBN- Naïve Bayesian Network algorithm is to find the infected patient and uninfected one, mosquitoes breeding sites and dense site by mapping it in GPS and finding the location. The cloud based system provides high accuracy in predicting the result using NBN classifier and also shows the risk prone site location to the government health sector. It provides the user a better communication with the health sector, to avoid the outbreak of ZVD and, the complete cloud system gives better high accuracy for prediction and preventing.
Keywords: Zika Virus, Fog Computing, NBN Classifier, Cloud Computing, Data Protection.
Scope of the Article: Cloud Computing