Cybersecurity in Networks Supporting Card Payment Systems
Abstract
The article examines cybersecurity in networks supporting card payment systems, which serve as a distributed critical infrastructure characterized by high transaction volumes, dense data concentration, and escalating cyber threats. The study aims to conceptualize the payment card environment not merely as a set of isolated components, but as interdependent domains of trust through which a single transaction simultaneously traverses terminals, gateways, processors, schemes, and issuing and acquiring banks. The relevance is grounded in the structural dominance of card payments in retail and remote commerce, the documented growth of ransomware, data exfiltration, and DDoS campaigns against financial institutions, as well as the tightening regulatory focus on cardholder data protection and operational resilience. The novelty of the work lies in its tri-layered analytical design, which combines the architectural decomposition of the payment chain, a normative–taxonomic reading of PCI DSS concepts related to cardholder data, sensitive authentication data, and controlled environments, and a threat-oriented mapping of prevalent attack classes onto this architecture. This perspective enables the authors to demonstrate that excessive network connectivity and poorly defined trust boundaries simultaneously expand the formal scope of compliance and increase the number of lateral movement paths for attackers. The main conclusions emphasize the necessity of multi-layer, mutually constraining security controls, strict access and privilege management, cryptographic governance, environmental minimization, zero–trust–oriented segmentation, and response capabilities, where time to detection and recovery becomes the decisive parameter. The article will be particularly useful for payment system architects, banking cybersecurity practitioners, regulators, and researchers in the field of financial infrastructure resilience.
Keywords
References
Similar Articles
- Prof. Kavita Menon, An In-Depth Review of Recent Advances in Cables and Towed Objects for Ocean Engineering Towing Systems , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- Dr. Alejandro Cortés-Mendoza, Cloud Computing As A Socio-Technical And Environmental Infrastructure: Integrating Security, Sustainability, And Strategic Governance In The Post-Traditional Hosting Era , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (25): Volume 02 Issue 12
- Dr. Mateo Alvarez, INTEGRATED ENVIRONMENTAL IMPACT AND PREDICTIVE ANALYTICS FRAMEWORK FOR OFFSHORE DRILLING DISCHARGES AND BENTHIC ECOSYSTEM INTEGRITY , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Dr. Leila Karam, INNOVATIVE STRATEGIES IN MODERN DATA WAREHOUSING: INTEGRATING LAKEHOUSE ARCHITECTURES AND ENTERPRISE DATA PIPELINES , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (25): Volume 02 Issue 12
- Dr. Eleanor Whitmore, Cloud-Native Smart Health Platforms: Scalable Machine Learning Deployment for Cardiovascular Prediction through Heroku, Salesforce, and Urban Data Ecosystems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Adrian Keller, Queuing-Integrated Deep Reinforcement Learning For Adaptive Task Scheduling In Cloud Data Centers , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Alistair J. Sterling, Architectural Frameworks for Multimodal Learning Analytics and Autonomic System Feedback: Integrating Physiological, Inertial, And Temporal Data for Enhanced Skill Acquisition , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (25): Volume 02 Issue 12
- Alejandro M. Cortés, A Profit-Oriented and Machine Learning–Driven Framework for Advancing Credit Risk Prediction in Modern Financial Systems , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 09 (2025): Volume 02 Issue 09
- John M. Aldridge, Secure, Privacy-Preserving FPGA-Enabled Architectures for Big Data and Cloud Services: Theory, Methods, and Integrated Design Principles , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Samuel T. Ridgeway, Factory-Grade GPU Diagnostic Automation in Digital Pathology and Computational Inference Systems: A Cross-Domain Theoretical and Applied Investigation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
You may also start an advanced similarity search for this article.