Integration of STRIDE and MITRE ATT&CK Frameworks for Enhanced Cyber Threat Modeling: A Case Study of Digital Merchant Banking Application

Mobile banking applications are very vulnerable to sophisticated cyber threats in this digital era. The security architecture should be strong enough to identify and mitigate the potential risks. This paper discusses an integrated approach to cyber threat modeling using the STRIDE methodology and the MITRE ATT&CK framework, taking Digital Merchant Point of Sale (POS) Platform from a leading Indonesian state-owned bank as a case study. It carries out deep analysis and mapping of possible attack vectors and mitigation strategies for each kind of attack within the four security zones: Public, DMZ, Trusted, and Restricted. By doing systematic threat modeling, one should pinpoint the most critical vulnerabilities in payment service authentication mechanisms and data storage. Thereafter, it comes up with a new security control matrix from the general standards such as the PCI DSS, ISO/IEC 27001:2022, and OWASP guidelines. The results of this research demonstrate that the integration of STRIDE and MITRE ATT&CK is more effective for threat identification and mitigation than using any of these methodologies separately. Indeed, the proposed security architecture copes with different attack scenarios, starting from credential harvesting and ending with configuration tampering, while not compromising compliance with regulatory requirements. This research helps add to the ever-increasing knowledge base in mobile banking security architecture and provides practical insights into the implementation of multilayered security controls in financial applications.

Authors

Institutions

Publication Details

Published
2025-02-03
DOI
https://doi.org/10.1109/icadeis65852.2025.10933223
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of STRIDE and MITRE ATT&CK Frameworks for Enhanced Cyber Threat Modeling: A Case Study of Digital Merchant Banking Application

Iqbal Yulizar Mukti, Muhamad Akdzan Angganegara, Muhammad Fathinnuddin
Information and Cyber Security
article

Integration of STRIDE and MITRE ATT&CK Frameworks for Enhanced Cyber Threat Modeling: A Case Study of Digital Merchant Banking Application

Iqbal Yulizar Mukti, Muhamad Akdzan Angganegara, Muhammad Fathinnuddin
article en

Abstract

Mobile banking applications are very vulnerable to sophisticated cyber threats in this digital era. The security architecture should be strong enough to identify and mitigate the potential risks. This paper discusses an integrated approach to cyber threat modeling using the STRIDE methodology and the MITRE ATT&CK framework, taking Digital Merchant Point of Sale (POS) Platform from a leading Indonesian state-owned bank as a case study. It carries out deep analysis and mapping of possible attack vectors and mitigation strategies for each kind of attack within the four security zones: Public, DMZ, Trusted, and Restricted. By doing systematic threat modeling, one should pinpoint the most critical vulnerabilities in payment service authentication mechanisms and data storage. Thereafter, it comes up with a new security control matrix from the general standards such as the PCI DSS, ISO/IEC 27001:2022, and OWASP guidelines. The results of this research demonstrate that the integration of STRIDE and MITRE ATT&CK is more effective for threat identification and mitigation than using any of these methodologies separately. Indeed, the proposed security architecture copes with different attack scenarios, starting from credential harvesting and ending with configuration tampering, while not compromising compliance with regulatory requirements. This research helps add to the ever-increasing knowledge base in mobile banking security architecture and provides practical insights into the implementation of multilayered security controls in financial applications.

Telkom University (ID)
Decent work and economic growth
Openalex Percentile: Top 93%
Information and Cyber Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.