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Conference Paper Detecting an Abnormal Traffic on Healthcare Network
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Authors
Wonhyuk Lee, Seunghae Kim, Hongseok Jeon, Hyuncheol Kim
Issue Date
2015-08
Citation
International Conference on IT Convergence and Security (ICITCS) 2015, pp.1-4
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICITCS.2015.7292970
Project Code
15MI2200, Smart Networking Core Technology Development, Sunhee Yang
Abstract
The data transferring on health-care network has a sensitive data such as personal medical information, genome, and so on. So it is very important to make secure network, and there are potential targets to infect when the next vulnerability announces. And hacking or worm virus uses several vulnerability to drain important information. Also it attacks security program for personal computer such as vaccine, personal firewall, etc. Recently network fault is often happened by worm virus, and then the major reason is anomaly traffic flowed from inside host rather than attack from outside. In this paper, we try to design and implement automatic system which can trace the location for the infected system using monitoring load of network node and detecting signs of anomaly traffic.
KSP Keywords
Abnormal traffic, Anomaly Traffic, Automatic system, Data transferring, Network node, Sensitive Data, health care, medical information, network fault, personal computer(PC), secure network