Recently, the global oil and gas industry has experienced a sharp rise in cybersecurity incidents targeting critical operational technology (OT) infrastructure. Attacks over the past five years have grown increasingly sophisticated, resulting in production losses, financial damage, equipment destruction, and in severe cases, fatalities. Traditional information technology security solutions remain inadequate for OT environments and often worsen vulnerabilities by expanding the attack surface. This study presents a hybrid blockchain framework that combines public and private blockchain characteristics and integrates with existing OT cybersecurity infrastructure. The framework is intended to help prevent incidents that lead to plant upsets, costly shutdowns, explosions, and loss of life. Through experimental validation across four operational scenarios, the prototype built using the Quorum Byzantine Fault Tolerance (QBFT) consensus mechanism achieved 92% precision and 86% recall formalicious event classification. Precision and recall quantify classification accuracy, while the detection rate reported in the scenario analysis represents detection coverage relative to total write attempts. Under sustained adversarial load in Scenario 4, the framework increased detection coverage from the 27.35% baseline observed in Scenario 1 to 57.33%. A chi square test ( χ2=4709.69 , df=3 , N=38,231 , p<0.001 ) confirmed significant differences in detection outcomes across scenarios, indicating that performance depended on the scenario configurations defined in the framework. The system maintained process control
compatible latencies between 24 and 368 ms and required only 8.15 KB per second of network bandwidth. These results demonstrate the framework’s suitability for real time industrial use and suggest potential annual financial savings of 973 million to 1.99 billion dollars based on recent ransomware incident analyses.
Read more