Identifying Fraudulent Data and Fake Account Profiles Analysis in Examination for Providing Security in Online Dating Site

Abstract

In this research, we are focused on a new yet mysterious method of using malicious apps. You want to be software for socialization. Their main goal is to allow users to buy premium / VIP packages and Start talking to (probably false) other app accounts. False dating apps are called such systems. A comprehensive analysis to explain the whole scam dating apps ecosystem. In specific, we suggested a three-stage approach to defining the current account profiles and the ensuing analysis to evaluate their roles. Our research shows that most accounts are administered chat bots based on predefined talk models rather than real people. They further examine the business model for these applications to prove that a number of parties actually participate in the process; including developers who create software, producers selling lucrative apps and the distribution system that distributes applications to end users. Ultimately, we assess their effect on consumers (i.e. victims) and quantify total income. The results show the need of a remedy to secure consumers and this is the first systematic study on fake citation applications.

Keywords: Malicious, Fraudulent Dating Apps, Google Analytics, chatbot, online dating site

Cite this Article: Nalli Vinaya Kumari, K. Kavya, PV. Srikar, B. Gowtham Kumar Reddy. Identifying Fraudulent Data and Fake Account Profiles Analysis in Examination for Providing Security in Online Dating Site. Network for Iranians. Recent Trends in Parallel Computing. 2020; 7 (1): 12–17p.