Secure Internet Financial Transactions using Multi factor Authentication and Machine Learning

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

The security of online financial transactions has emerged as a crucial concern in an era where financial services are becoming increasingly digital. The increasing use of digital platforms for banking, payments, and investment has given rise to a new wave of opportunities for both customers and cybercriminals. To address this problem, the present research offers a unique system that integrates machine learning (ML) with multifactor authentication (MFA). Using two levels of protection is the foundation of our system. The first layer uses two authentication factors, and the second layer is an embedded layer that asks for facial recognition from the user to successfully continue the purchase process if the ML model determines that the present transaction is fraudulent.To select the best classifier for constructing the ML model, four supervised ML classifiers were put into practice. After testing many classifiers, including Random Forest (RF), Decision Trees (DT), Logistic Regression (LR), and Naïve Bayes (NB), the accuracy of each was 96.717%, 97.881%, 97.938%, and 92.354%, respectively. A front-end screen for an Android e-commerce application was created to demonstrate how the framework functions. You may configure our framework to operate on any digital e-commerce platform. A thorough analysis of the body of research on the subject and various methods for securing online transactions reveals that the integration of MFA and ML has great potential for providing the greatest level of security and a system that is easy to use. In future research, it could be useful to examine other authentication factors using a different dataset.

روابط وملفات

التعريف والنوع

رقم الوثيقة

010e76f6-2bb0-47ae-b0a7-23dcab1f4d97

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

2442347_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":" Alsharif Hasan Mohamad Rbeian ","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Manuel Fernández-Veiga","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Secure Internet Financial Transactions using Multi factor Authentication and Machine Learning

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

E-commerce Landscape,Definition and Benefits,E-commerce Types,E-commerce Channels,E-commerce Obstacles,E-payment Methods

إشراف وإعداد

الإشراف

Manuel Fernández-Veiga

الإعداد

Alsharif Hasan Mohamad Rbeian

الاقتباسات الببليوغرافية