Hadoop-Based Integrated Monitoring Platform for Risk Prediction Using Big Data

Abstract:

In this paper, we present an integrated monitoring platform framework to enable risk prediction using big data. By using social media and access records of their users, the proposed system determines uncertain risks they could create. By using the risk information that has been obtained from the platform, it can determine whether they should be granted the requested rights to access to restricted areas. And it can set some places that should be monitored as restricted areas. If the intrusion is detected in an area that has been set, then it promptly notifies the administrator with agile viewers showing him/her the intrusion for preparing the next step. So, it will provide a control situation for the administrator in real time and can detect the risky moments that may occur in advance.

• Periodical: Applied Mechanics and Materials (Volume 826)
• Pages: 113-117
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.826.113
• Online since: February 2016
• Authors: Yoon Deuk Seo, Jin Ho Ahn*
• Keywords: Big Data Processing, Integrated Monitoring, MapReduce, Risk Prediction, Social Media

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