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Multiple Trust Model in Online Transaction by Trusted Third Party

机译:可信第三方在线交易中的多个信任模型

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the information fortune and the connectivity are provided by the universe of E-commerce over an enormous distance at all time. In an open and distributed environment the buyers or providers will not act in a mutually understood or agreed manner by which the incomplete practices and fraudulent activities happen. So in any online transaction the security and trust are two important factors that are to be considered. In Ecommerce markets the above mentioned problems are criticized as the most important barriers. In order to improve these barriers a trust based third party mechanism is successfully adopted as a self-regulatory system to improve the buyer and seller trust. The online transactions are made very easy now days by E-commerce technologies. Built integrity belief approach (BIB), Support Vector Mechanic approach (SVM) and Random Number Generation approach (RNG) are the three approaches which are mainly used in this paper for online trust management. The seller and the buyer communication will be handled through the trusted third party. Apart from this a coupon based approach is introduced as an advancement in this paper for providing discount schemes which is helpful in attracting the customer who purchase beyond the threshold level fixed by the seller. Moreover a product review study is integrated in order to reduce the scam reviews in online transactions.
机译:信息财富和连接是由电子商务宇宙提供巨大距离的巨大距离。在开放和分布式环境中,买方或提供商不会以相互理解的或商定的方式行事,通过这种方式发生不完整的做法和欺诈活动。因此,在任何在线交易中,安全和信任是要考虑的两个重要因素。在电子商务市场中,上述问题被批评为最重要的障碍。为了提高这些障碍,成功采用了基于信赖的第三方机制作为改善买方和卖方信任的自我监管制度。通过电子商务技术现在,在线交易非常容易。建立的完整性信念方法(BIB),支持矢量技工方法(SVM)和随机数生成方法(RNG)是本文主要用于在线信任管理的三种方法。卖方和买方沟通将通过可信任的第三方处理。除此之外,基于优惠券的方法被引入了本文的进步,用于提供折扣计划,这有助于吸引超出卖方固定的阈值水平的客户。此外,还集成了产品审查研究,以减少在线交易中的诈骗审核。

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