research on transaction security detection algorithm for large-scale e-commerce website
- 10.2991/iccset-14.2015.56How to use a DOI?
- e-commerce; security; transaction;
The large-scale e-commerce website transaction security detection methods are studied. For the defect that the large-scale e-commerce website transaction security detection is susceptible to be interfered by ambient noise, a large-scale e-commerce website transaction security detection method based on characteristic attribute mapping model is proposed. According to principal component analysis method to process redundant transaction data of large e-commerce websites, so as to reduce the complexity of the data. Characteristic attributes mapping model is established to achieve intrusion detection when transacting on the large-scale e-commerce website, to determine the security of transactions. Experimental results show that the use of proposed algorithm for large-scale e-commerce websites transaction security detection, can greatly improve the accuracy of detection, so that obtaining satisfactory results.
- © 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/).
Cite this article
TY - CONF AU - Guixiang Hu AU - Xinjie Qian AU - Qiulin Fu AU - Bo Yang PY - 2015/01 DA - 2015/01 TI - research on transaction security detection algorithm for large-scale e-commerce website BT - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SP - 262 EP - 265 SN - 2352-538X UR - https://doi.org/10.2991/iccset-14.2015.56 DO - 10.2991/iccset-14.2015.56 ID - Hu2015/01 ER -