ENHANCING TRUST BELIEFS IN E-COMMERCE THROUGH WHITELIST WEBSITE SECURITY PARADIGM
Journal Title: Indian Journal of Computer Science and Engineering - Year 2011, Vol 2, Issue 2
Abstract
In the emerging global economy, E-commerce has increasingly become a strong catalyst for economic development. Based on the observation of the E-commerce management practices in India it is felt that there is a need to increase trust by providing additional layer of security in order to make E-commerce more acceptable. In this paper, new approach in website security mechanism with respect to E-commerce trust management is being discussed. Systems build using whitelist paradigm may create credible lock down secure websites. In conclusion, this may tremendously help in minimizing the customer fear and risk associated with sensitive and vital information such as banking details, credit card information, billing address etc., thereby enhancing the credibility of online marketplaces. It may promote confidence building in the consumer mindset apropos of online data security thus fueling E-commerce growth and potential user base.
Authors and Affiliations
Dr. A. S. Khandelwal
A COMPARATIVE STUDY OF CRM AND E-CRM TECHNOLOGIES
Today the internet is a significant economic and social force and e-mail is the predominant form of written business communication. The new economy has brought more than just technological change to business world. The i...
Enhance Reliability of Web service composition Using Negotiation Mechanism
A service-oriented architecture (SOA) is essentially a repository of custom and unique services that can selforganize it based on communication. The communication can involve either simple data passing or it could involv...
An Efficient Architecture and Enhanced Security to Cloud Services for Users
The idea of a Cloud Service Broker(CSB) is quickly developing. The general part of the CSB is to transitional cloud Administrations. Where it has certain disadvantage. It is not customizable the way you want, no privacy,...
Discovering Non-Redundant Association Rules using MinMax Approximation Rules
Frequent pattern mining is an important area of data mining used to generate the Association Rules. The extracted Frequent Patterns quality is a big concern, as it generates huge sets of rules and many of them are redund...
Disorder Speech Clustering For Clinical Data Using Fuzzy C-Means Clustering And Comparison With SVM Classification
Speech is the most vital skill of communication. Stammering is speech which is hesitant, stumbling, tense or jerky to the extent that it causes anxiety to the speaker. In the existing system, there are many effective tre...