Communal Fraud Detection Algorithm for Establishing Identity Thefts in Online Shopping

In recent times, e-commerce sector is gaining popularity and expressing progressive growth. Due to increasing the demand of automation process and the reach of internet towards the end-users have poised this trust. In spite of the technology advancements, the privacy and security of e-commerce merchant as well as consumer data are constantly under threat. Identity theft, which is considered as more important security problems for end-users, is addressed by one time password generated instantly. This paper focuses on communal fraud detection algorithm for protecting identity theft in online shopping by creating a white list. Experimental results have proved white lists outperform one-time passwords in identity theft in a more effective manner.