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A structured process model to optimize detection capabilities in security operations centers (SOCs) Adi Nugroho; Charles Lim; Heru Purnomo Ipung
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 2: May 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i2.pp518-530

Abstract

The security operations center (SOC) is essential for protecting organizational assets and maintaining operational continuity against rapidly changing cyber threats. Despite its significance, numerous SOCs establish detection capabilities lacking of a systematic framework, frequently culminating in inefficiencies and constrained efficacy. This paper presents a process model aimed at improving SOC detection capabilities by aligning them with business objectives, pertinent risks, and the evolving character of contemporary threats. The study includes an evaluation of current detection methodologies, utilizing the MITRE ATT&CK architecture and threat intelligence data to pinpoint relevant risks and detection deficiencies. A case study was performed at the XYZ Organization to evaluate current detection capabilities and implement the recommended process model. The model was validated through interviews with experts in the SOC field, verifying the findings' credibility. The findings demonstrate that the model efficiently helps SOC in synchronizing detection methods with organizational objectives, prioritizing pertinent threats, and promoting the enhancement of more targeted and adaptable detection capabilities. This research provides theoretical insights into SOC detection modeling and practical assistance for enterprises aiming to enhance their cybersecurity operations.
Contract Testing: A Framework for Security Evaluation in gRPC Muhamad Zaenul Hasan Basri; Charles Lim; Kalpin Erlangga Silaen
Eduvest - Journal of Universal Studies Vol. 5 No. 10 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i10.52074

Abstract

The growth of APIs, including SOAP, REST, and gRPC, has made security a critical priority, with incidents such as those in the 2023 Paloalto report highlighting the financial losses resulting from API breaches. While existing tools focus on REST APIs, gRPC remains underserved, requiring time-consuming manual testing. This research aims to address this gap by proposing a security testing framework tailored to gRPC, integrating automated methods that DevSecOps can use to improve efficiency. gRPC, built on HTTP/2, uses a binary message format and client stubs generated from proto files, creating unique challenges for testing. The methodology involves extracting payloads, generating stubs from proto files, creating test cases, and executing automated tests for vulnerabilities such as SQL Injection and XSS. By analyzing gRPC components and adapting common API security practices, the framework identifies vulnerabilities, streamlines testing, and reduces manual effort. It automates processes such as payload generation and stub generation, enabling faster and more reliable testing compared to traditional methods. Results demonstrate that GSTF reduces testing time by 99% compared to manual methods while maintaining comprehensive coverage. Although some false positives were noted, the framework effectively identifies critical vulnerabilities and integrates seamlessly with DevSecOps pipelines. This approach not only improves testing efficiency by significantly reducing time but also sets a benchmark for secure API development. This study provides a practical solution for enhancing gRPC security, offering significant efficiency gains and establishing a foundation for future advancements in API security automation.
Designing User-Centered Risk Management Framework to Enhance Security Posture and Security Control Model in SME Jahja Mayudin Kurniawan; M. Amin Soetomo; Charles Lim
Advances In Social Humanities Research Vol. 4 No. 7 (2026): Advances In Social Humanities Research
Publisher : Sahabat Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/adv.v4i7.580

Abstract

Small and Medium Enterprises (SMEs) face increasing cybersecurity risks while often having limited resources and low readiness to implement ISO/IEC 27001. This research aims to design a user-centered risk management framework to improve security posture and enhance the effectiveness of security control implementation. The study employs the Design Science Research Methodology (DSRM) by integrating ISO/IEC 27005 as an operational risk management standard and ISO 31000 as strategic guidance, supported by a Multi-Criteria Decision Analysis (MCDA) approach for security control prioritization. The framework was demonstrated through a case study at PT Pulsabayar and evaluated using Focus Group Discussions (FGDs) and expert validation. Risk analysis identified 20 cybersecurity risks, consisting of 9 medium risks and 11 low risks, with the three highest-priority risks being application account takeover, phishing attacks, and malware infections. Security control prioritization generated priority scores ranging from 0.36 to 0.64, enabling systematic resource allocation for risk mitigation. The framework received positive evaluations from internal stakeholders and external experts, confirming its clarity, usability, and alignment with organizational needs. This research concludes that a user-centered and standards-aligned framework can strengthen cybersecurity governance and support SMEs in achieving incremental compliance and sustainable security improvements.