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Inner layer security reinforcement for instant payment systems: a dual layer encryption-steganography evaluation in
Ampuan Shazani Bin Ampuan Haji Sadikin1, Heru Susanto2,3,4,5,6,7
1Science in Business and Technology Management, Universiti Teknologi Brunei, Bandar Seri Begawan, Brunei.
Frontiers in Big Data
|July 2, 2026
Summary
Cybersecurity for instant digital payments is enhanced by combining AES-128 encryption with audio steganography. This dual-layer approach addresses human factors and technical vulnerabilities, improving data protection in real-time payment systems.
Area of Science:
- Cybersecurity
- Digital Payments
- Data Protection
Background:
- Real-time digital payment systems face cybersecurity risks from technical, human, and organizational factors.
- Human factors constitute a significant portion (47%) of identified cybersecurity concerns in digital payment environments.
Purpose of the Study:
- To evaluate a dual-layer data protection mechanism for Brunei's digital payment context.
- To combine AES-128 encryption with spread spectrum audio steganography for enhanced security.
Main Methods:
- Conducted stakeholder interviews with key organizations: Cyber Security Brunei (CSB), National Digital Payments Network (NDPx), and a local bank.
- Performed experimental testing using Stripe Sandbox to validate the proposed mechanism within realistic payment workflows.
Main Results:
- Spread spectrum steganography demonstrated an 87.5% robustness rate against eight attack scenarios.
- The system achieved near real-time performance with an average processing time of 568.82 ms and acceptable audio quality (PSNR 26.30 dB).
- Sandbox validation confirmed the feasibility of the dual-layer protection in practical payment scenarios.
Conclusions:
- Data-centric security, integrating encryption and steganography, acts as a viable compensating control against human-dominated cybersecurity threats.
- The combined approach effectively reinforces the security of instant payment systems, addressing both technical and human vulnerabilities.
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