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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2015 Vol.7(6): 444-447 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.1000

Monitoring and Notification System Based on Risk Analysis Using Map-Reduce Framework

Yoondeuk Seo and Jinho Ahn
Abstract—This paper presents a monitoring and notification system based on risk analysis using map-reduce framework that can do risk prediction using big data. By using social media and access records of their users, the proposed system determines their risks. Also, it monitors the restricted area through setting them and notifies the administrator as soon as the intrusions are detected. So, it will provide a control situation for administrator in real time and can detect the risky moments that may occur in advance. Therefore it can reduce the probability of risk of security penetration. Also, since it receives the control situation and provides real-time control screen via smartphone, it is possible to improve the convenience of intrusion management in a very fast and effective way.

Index Terms—Mapreduce, mahout, big data, predictive analytics.

The authors are with the Department of Computer Science, Kyonggi University, Iuidong, Yeongtonggu, Suwon 443-760 Gyeonggi, Republic of Korea (Corresponding author: Jinho Ahn; tel.: +82 31 249-9674; fax: +82 31 249-9673; e-mail: seoyd@kgu.ac.kr, jhahn@kgu.ac.kr).


Cite:Yoondeuk Seo and Jinho Ahn, "Monitoring and Notification System Based on Risk Analysis Using Map-Reduce Framework," International Journal of Computer Theory and Engineering vol. 7, no. 6, pp. 444-447, 2015.

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