Online ISSN: 2515-8260

Author : Balamanigandan, Dr.R.


E-THEFT DETECTION TECHNIQUE ON ONLINE TRADING

Dr.R. Balamanigandan; Dr T B Sivakumar; Dr S Hasan Hussain; N. Kanagavalli

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1761-1765

Nowadays, Transaction are made over the electronic network which is called as e-commerce. But there is a major thread of e-commerce is security. Here we introduce CLUE, a deep-learning technology which is totally based on the device that is designed for detection of fraud transaction and setup like JD.Com, important ecommerce structures used by over 220 million lively in China. Every users’ click is gathered as a statistical information with the help of neural network primarily depends upon implanting, and the sequences of such clicks are arranges based on the usage of the continuous neural network. Further, CLUE offers application layout with optimization which include unbalanced learning, actual-time detection, and incremental model update. Form the produces statistical details that is gathers for eight months, the proposed model has achieved thrice the improvement than the ordinary fraud identification approaches.