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Efficient Module for OHM (Online Hybrid Model)

机译:欧姆的高效模块(在线混合模型)

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摘要

The Internet-based businesses are increasing day by day and even the new concept of digital India is developing, through which every government and private companies are switching to Internet and cloud services. Internet users are increasing day by day at State Bank of India and about 69% of daily transactions happen through alternative channels, including Internet, ATM, and mobile banking. This figure is rising every year and more young generation is using online services. But on the other hand, there are many security concerns as well; presently we have many secured transaction channels. In this paper, we have proposed the new algorithm to prevent frauds and track the transactions location if any fraud occurs in the Internet. Using Online Hybrid Model algorithm, we will generate unique Internet id of the user. This algorithm also supports in the prevention of fraudulent activities, for example, if terrorist do any transaction online, we can track easily.
机译:基于互联网的业务日益增加,甚至是数字印度的新概念正在开发,每个政府和私营公司都会转向互联网和云服务。 Internet用户在印度州州银行日益增加,通过互联网,ATM和移动银行,包括互联网,ATM和移动银行,约69%的日常交易。 这个数字每年都在上升,更多的年轻一代是使用在线服务。 但另一方面,还有许多安全问题; 目前,我们有许多安全的交易渠道。 在本文中,我们提出了新算法,以防止欺诈和跟踪交易所在地,如果有任何欺诈在互联网上发生。 使用在线混合模型算法,我们将生成唯一的用户Internet ID。 该算法还支持预防欺诈活动,例如,如果恐怖主义在线进行任何交易,我们可以轻松跟踪。

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