Research on Data Mining Model in the Internet of Things
Yan Chen, Ai-xia Han, Cai-hua Zhang
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.28How to use a DOI?
- Data mining techniques; Crowdsourcing; Forged webs; Internet security; Internet of things
- 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.
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 -