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DOE OSTI · 2448404

Integrating PCTRAN with AI-Driven Host-Intrusion Detection and Secured Container Systems for Advanced Malware Analysis (Summer Internship Report)

Marsh, Kennedy·Bhowmik, Palash Kumar·Sabharwall, Piyush
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Abstract

This study presents a solution for enhancing the security of the Personal Computer Transient Analyzer (PCTRAN) PC-based Nuclear Power Plant Simulator by integrating the software with an artificial intelligence (AI)-driven host-intrusion detection system (HIDS), in addition to a secured container system, for malware analysis. PCTRAN is a Windows XP-based software package that has the ability to simulate a variety of accident and transient conditions for nuclear power plants (NPPs). It offers a high-resolution replica of the Nuclear Steam Supply System (NSSS) and displays the status of important parameters allowing for operator interaction. By including AI-driven HIDS for the NSSS, the framework can identify security threats in real-time, ensuring the integrity of the nuclear simulation environment. Additionally, the secured container system offers the ability to isolate and analyze malware, preventing potential threats from affecting core systems. The integration process involves extensive testing and validation in order to ensure accuracy, reliability, and compliance with security policies. This framework sets a new precedent for secure simulation and training in NPP operations, and offers insight for future advancements in cybersecurity.

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21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS42 ENGINEERING97 MATHEMATICS AND COMPUTINGAdvanced Malware AnalysisArtificial IntelligenceContainer SystemHost-Intrusion DetectionPCTRAN

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Marsh, Kennedy, Bhowmik, Palash Kumar, Sabharwall, Piyush. 2024-08-01. Integrating PCTRAN with AI-Driven Host-Intrusion Detection and Secured Container Systems for Advanced Malware Analysis (Summer Internship Report). https://doi.org/10.2172/2448404

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