research on transaction security detection algorithm for large-scale e-commerce website

DOI

10.2991/iccset-14.2015.56How to use a DOI?

Keywords

e-commerce; security; transaction;

Abstract

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.

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  - 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  -