Identification of Fraud Apps Using Sentiment Analysis Techniques

Identification of Fraud Apps Using Sentiment Analysis Techniques

Sentiment analysis

Android

Google Play

User review

Mining threat

Security

Considering that application’s security is an important aspect, especially nowadays with the increase in technology and the number of fraudsters. It should be noted that determining the security of an application is a difficult task, especially since most fraudsters have become skilled and professional at manipulating people and stealing their sensitive data. Therefore, we pay attention to spot insecure apps by analyzing user feedback on Google Play platform using sentiment analysis. As it is known, user reviews reflect their experiments and experiences in addition to their feelings and satisfaction with the application. But unfortunately, not all of these reviews are real, fake reviews do not reflect the sincerity of feelings, so we have been keen in our work to filter the reviews and deliver accurate and correct results. This tool is useful for both users wanting to install an android app and for developers interested in app’s optimization.

Aljumah, Abeer

Altuwijri, Amjad

Alsuhaibani, Thekra

Selmi, Afef

Alruhaily, Nada

International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 178-185

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2021-12-08

Copyright (c) 2021 Abeer Aljumah, Amjad Altuwijri, Thekra Alsuhaibani, Afef Selmi, Nada Alruhaily

https://creativecommons.org/licenses/by/4.0

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Non-refereed Article