Multiple Account Opening Detector using Graph Databases

The purpose of Authsafe's research in Account opening detector is to offer a detector that can identify real-time Multiple-Account creation using the same IP or devices. In terms of impact, graph data science has a number of consequences, such as detecting fraud that is undetected by normal approaches, improving accuracy in raising instances for manual review, and, of course, preventing fraud. The algorithm created by Authsafe in this study has the potential to increase the accuracy and efficiency of detecting online fraudulent behaviours performed by malevolent individuals. Authsafe's innovative research and approach to detecting and mitigating new security and privacy risks, developing and testing trust-based processes, and building and testing newly established frameworks and technologies for enhanced privacy. Social bots in OSNs are critical for disseminating information that discourages criminal activity, fake news, political campaigns, biased behaviour, marketing, and other undesired behaviours. As a result, multi-edge nodes aid decision-making by examining the graph of connections between users on social networks and rating prominent persons. Authsafe will then raise the risk score of such profiles and notify the concerned user about such an attempt to create multiple profiles using their credentials unless a threshold or limit value defined by property owner rules for the authorised number of users in the property is exceeded.

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