Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Research on Data Mining Model in the Internet of Things

Authors
Yan Chen, Ai-xia Han, Cai-hua Zhang
Corresponding Author
Yan Chen
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.28How to use a DOI?
Keywords
Data mining techniques; Crowdsourcing; Forged webs; Internet security; Internet of things
Abstract
The Internet of things combines aspects and technologies that come from several kinds of approaches. So the Internet of things is a new paradigm. When the computing, pervasive computing, and the relevant technologies are more closely interdependent to each other and the world of Internet of things form a system. More and more people become fond in the real and digital worlds, and continuously in symbiotic interaction. In this situation, to protect the online users such as the usernames and passwords is important. One intelligent approach based on data mining called Associative Classification seems a potential solution that may effectively detect phishing websites with high accuracy. We first review relationship between the data mining and the Internet of things. Then we highlight the potential solution. Finally, we conclude the potential solution is a effective way to protect the online users.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.28How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yan Chen
AU  - Ai-xia Han
AU  - Cai-hua Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Research on Data Mining Model in the Internet of Things
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.28
DO  - https://doi.org/10.2991/amcce-15.2015.28
ID  - Chen2015/04
ER  -