Research on Data Mining Model in the Internet of Things

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 158
EP  - 162
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.28
DO  - 10.2991/amcce-15.2015.28
ID  - Chen2015/04
ER  -