2022/11/04 by Shahad Al-Khalifa, Al-Khalifa, Shahad
Business, Management and Accounting · Computer Science · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Halal products and consumer behavior #Human-Computer Interaction (cs.HC) #Islamic Finance and Banking Studies #Spam and Phishing Detection
paper · pdf · doi:10.48550/arxiv.2211.06305
openalex publication_date 2022/11/04 · openalex created_date 2022/11/21 · openalex updated_date 2026/07/28
In this research, we discussed a rising issue for Muslims in today world that involves a financial and technical innovation, namely: cryptocurrencies. We found out through a questionnaire that many Muslims are having a hard time finding the jurisprudence rulings on certain cryptocurrencies. Therefore, the objective of this research is to investigate and identify features that play a part in determining the jurisprudence rulings on cryptocurrencies. We have collected a dataset containing 106 cryptocurrencies classified into 56 Halal and 50 Haram cryptocurrencies, and used 20 handcrafted features. Moreover, based on these identified features, we designed an intelligent system that contains a Machine Learning model for classifying cryptocurrencies into Halal and Haram.