Title :
Notice of Retraction
Research Off Electromice Commerce Security Evaluation
Author :
Shuliang Liu ; Yanling Bai ; Congyi Zou
Author_Institution :
Economic Manage. Dept., North China Electr. Power Univ., Baoding, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
With the further promotion of e-commerce, e-commerce security issues which become increasingly prominent has become a major obstacle to development of electronic commerce. Solving the security issues of e-commerce has become the most important and basic work for development of electronic commerce. Therefore, this paper through the research for development status of e-commerce security, the main security issues and e-commerce security system and take Company for example, evaluates and analyzes qualitatively and quantitatively the security of enterprise e-commerce system reference to the method of fuzzy mathematics and makes a number of e-commerce to enhance corporate security-related measures with a view to identifying the risks of e-commerce companies and security management to provide some reference and reference. However, from the practical application point of view, there are a large number of complex work to be done for the use of evaluation model proposed in this paper, the further scientific improvement of e-commerce safety evaluation index system, and the further scientific improvement of evaluation system in each specific quantitative indicators, a more scientific and practical division for the level of e-commerce security, should be explored in future research work.
Keywords :
electronic commerce; fuzzy set theory; security of data; e-commerce safety evaluation index system; e-commerce security management; electromice commerce security evaluation; enterprise e-commerce system; fuzzy mathematics; quantitative indicators; security-related measures; Appraisal; Computers; Electronic commerce; Safety; Security; Analytic hierarchy; Electronic commerce Security; Fuzzy quality synthetic evaluation;
Conference_Titel :
Information Technology and Computer Science (ITCS), 2010 Second International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-1-4244-7293-2
DOI :
10.1109/ITCS.2010.126