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    ThaiScamBench: Toward a Benchmark Dataset for Scam and Phishing Detection in the Thai Language
    (2025-01-01)
    Chalaemwongwan, Nutthakorn
    Recent reports from Thai financial regulators reveal a sharp increase in online scams, resulting in major financial damage each year. While English-language research has made considerable progress, Thai-language scam detection remains underexplored and lacks standardized benchmarks. The study establishes *ThaiScamBench (pilot)*, a curated corpus of 1,750 Thai messages labeled as scam or legitimate across seven categories. Reproducible baselines (Logistic Regression, Linear SVM) and a rigorous evaluation protocol are provided to address class imbalance, Thai-English code-switching, and adversarial obfuscation. All scam texts contained URLs; none appeared in legitimate messages, revealing dataset bias, with all scam samples containing a URL and none among legitimate texts, artificially inflating headline metrics. We addressed this issue by introducing URL-masked and domain hold-out evaluations. We outline our roadmap toward version 1.0 (around 50k messages), focusing on dataset scaling and robust benchmarking for Thai scam detection, adversarial stress tests, and PDPA-compliant release artifacts. *ThaiScamBench∗ establishes the first standardized evaluation for Thai scam detection, enabling transparent comparison and artifact-conscious evaluation. This benchmark provides a reproducible foundation for robust Thai-language scam detection.
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    Cybersecurity for Industrial Control Systems
    (2024-01-01)
    Chaiyasoonthorn, Sawatsakorn
    ;
    Mitatha, Somsak
    ;
    Siripongdee, Surapong
    ;
    Wiboonrat, Montri
    ;
    Sriudomsilp, Theeraporn
    Cyber Vision plays a vital role in promoting a collaborative workflow that enhances synergy between IT and OT, ensuring secure operational production. Partnering with Cisco (Thailand), this study aims to bolster cybersecurity measures in the oil and gas (O&G) industry to protect against external cyber threats. Researchers plan to use Cyber Vision for protocol analysis, intrusion detection, vulnerability assessment, and behavioral analysis, providing valuable insights into the industry's security stance. Adhering to IEC 62443 and NIST 800-82 standards, Cyber Vision ensures the continuous, resilient, and safe operation of industrial processes by maintaining constant visibility into Industrial Control Systems (ICS). It comes pre-integrated with top-tier security information and event management (SIEM) and security orchestration, automation, and response (SOAR) platforms.
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    Cybersecurity of Industrial Automation and Control System (IACS) Networks in Biomass Power Plants
    (2023-01-01)
    Wiboonrat, Montri
    During the COVID-19 pandemic, the Industrial Automation Control Systems (IACS) have to change procedures in day-by-day operations. Biomass power plants (BPP) cannot avoid this crisis as well. This research aims to solve the problems of BPP operations. The cybersecurity integration between Information Technology (IT) and Operations Technology (OT) was performed by combining of IEC 62443 series, NIST.800.82r2, ISA-95, and Purdue Model as guideline framework for cybersecurity of IACS networks as vulnerability protection. This research purposes two cybersecurity protection models called 'Spectrum Security'. Spectrum Security - SL2 was designed for minimum detection and protection for IACS. Spectrum Security - SL4 was designed for maximum detection and protection for IACS and fault tolerance operations availability of cybersecurity vulnerability. However, the consequence of Fault Tolerance is a double investment in cybersecurity detection and protection systems.
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    Cybersecurity in Industrial Control Systems: An integration of information technology and operational technology
    (2022-01-01)
    Wiboonrat, Montri
    The Industrial Control Systems (ICS) consists of supervisory control and data acquisition (SCADA) systems, distributed control systems (DCS), safety instrumented systems (SIS), and other control system configurations such as programmable logic controllers (PLC). These systems are vulnerable to cyber-attacks. Security against cyber-attacks is becoming more crucial for the ICS industries. The cyber-attacks could be carried out simultaneously at many SCADA, DCS, and SIS systems. The researcher deployed NIST.SP.800-61r2, NIST.SP.800-82r2, IEC 62443 series, and Purdue Enterprise Reference Architecture (PERA) as a guide to implementing cybersecurity approaches to protect them from these threats. The ten industrial plants used cases such as chemical processing, power generation, oil and gas processing, and petroleum processing have been investigated subject to the four main types of vulnerability in cyber security; network; operating system; human; and process vulnerabilities. This research approach is intended to lead to innovative, game-changing capabilities for an incident response plan (IRP) according to cybersecurity Spectrum Security SL2 and SL4 models for the critical ICS.