Topic: Incident Response with AI & ML for OT/IOT/IIOT Attack Detection & Prevention
Abstract: As cyber threats progressively target Operational Technology (OT), Internet of Things (IoT), and Industrial IoT (IIoT) systems, traditional defenses struggle to keep pace. This talk introduces how artificial intelligence (AI) and machine learning (ML) can redefine incident response in these domains by enabling predictive detection and rapid response. Through portrayals of applied research and real-world datasets from the Global Cyber Alliance (GCA), I will demonstrate how the Data Science Lifecycle can be applied to build predictive ML models that identify anomalies, patterns, and attack trends over IIoT networks. The session introduces the IIoT Guardian prototype, a device-level cybersecurity solution that integrates ML/AI for real-time anomaly detection.
Key Takeaways:
- Why Traditional IR Fails in OT/IoT/IIoT
- Learn how to apply AI and ML to modern incident response
- Discover how ML boosts detection, prioritization, and response speed
- Explore how Data science lifecycle solves real IIoT security challenges.
- Deployment of research and ML models in SOC and industrial operations
Speaker:
Prof. Atdhe Buja, Assistant Professor, Commonwealth University of Pennsylvania
Bio: Atdhe Buja is an Assistant Professor of Computer Science, Digital Forensics, and Cybersecurity at the Commonwealth University of Pennsylvania, USA (Bloomsburg University). Atdhe is a world-renowned cybersecurity expert with decades of experience. As PM, Atdhe has established andcc. He is an EC-Council Instructor (CEI) and CEH, Microsoft IT Professional, and Oracle Administrator for RDMBS, and a leading authority on information technology, Industrial IoT, and ICS/SCADA cybersecurity. His research work focuses on cybersecurity countermeasures for Industrial IoT, IoT security, ICS/SCADA infrastructures, wireless sensor networks WSN, cybersecurity of ML and artificial intelligence, and database management systems. Author of multiple books, including ‘Cybersecurity of Industrial Internet of Things (IIoT)’ and ‘AI and ML-Driven Cybersecurity: Industrial IoT and WSN with Python Scripting’.
