Efficient Module for OHM (Online Hybrid Model)

  • Akash Agarwal
  • Nitin RakeshEmail author
  • Nitin Agarwal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 553)


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.


Online phantom transactions Online fraud detection OHM E-Commerce 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Amity School of Engineering and TechnologyNoidaIndia
  2. 2.Amity University Uttar PradeshNoidaIndia
  3. 3.KPMGBengaluruIndia

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