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).
[PDF]
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.
