Date of Award

10-2019

Culminating Project Type

Starred Paper

Degree Name

Computer Science: M.S.

Department

Computer Science and Information Technology

College

School of Science and Engineering

First Advisor

Abdullah Abu Hussein

Second Advisor

Dennis Guster

Third Advisor

Akalanka Mailewa

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

online dating, Tinder, Okcupid, Amazon Rekognition API, Dating scam, scams

Abstract

Online dating scam has been rapidly increasing the internet’s rapid growth synchronically. However, there is no such tool that is available for the public to use it and prevent online dating scams. In this paper, techniques for scam detection in online dating websites profiles are described. A tool for automatically identifying fake profiles on dating websites such as e-Harmony, OkCupid, match.com is used in this paper. The web application generates a scam likelihood regarding the input profile’s description by using the scam action components.

Regarding National Public Radio’s news recently, online dating scams had an impact of $143 million in the United States (“Americans Lost $143 Million In Online Relationship Scams Last Year,” 2019). This number indicates the link between the number of users that use online dating websites and the number of scams on these websites. The primary purpose of this paper is creating public awareness and alerting users for whom they might be contacting online dating websites.

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