This research aims to introduce a model, SectraBank, designed to mitigate cyber fraud attacks, specifically targeting SIM Swapping and Fake App schemes in mobile banking users. A quantitative methodology with an experimental design was meticulously employed to examine the rise of cyber fraud within mobile banking. The study involved a sample of 100 professionals with advanced knowledge in Information and Communication Technologies (ICTs). Surveys were utilized to measure awareness of threats and perceptions of security before and after the implementation of the proposed model. SectraBank leverages unique user identifiers such as fingerprint authentication and the International Mobile Equipment Identity (IMEI) number, in addition to geolocation and One Time Passwords (OTP) for validating electronic transactions in mobile banking. The effectiveness of the proposed model was notable, achieving a 96.1% efficacy rate in mitigating Fake App attacks and a 90.2% success rate in countering SIM Swapping attacks. These findings underscore the potential of SectraBank as a robust solution to enhance cybersecurity measures in the realm of mobile banking.

Cybercrime is a global problem that affects various sectors, particularly the financial sector, where cybercriminals exploit users' lack of security awareness to obtain confidential information through techniques such as phishing, smishing, vishing, and ultimately seizing the OTP code to carry out fraudulent transactions. The objective of this research is to develop the SectraBank model, which incorporates security measures such as the use of the IMEI code, fingerprint authentication, and geolocation to mitigate cyber fraud attacks, specifically in the forms of SIM Swapping and Fake Apps used by cybercriminals to capture the OTP code. To evaluate the effectiveness of the model, simulations of real attacks were conducted on mobile phones of 50 users, divided into control and experimental groups. The results demonstrated that SectraBank mitigated 98% of SIM Swapping attacks and 88% of Fake App attacks. Additionally, 98% of participants expressed their willingness to adopt the model. These results are crucial for the banking sector, as the proposed model offers a robust security strategy that could significantly reduce cyber fraud, enhancing both security and trust in mobile banking applications.