4 papers
Leveraging Interpretable Tsetlin Machine for PDF Malware Detection
Rahul Jaiswal, Ole-Christoffer Granmo
In the digital era, Portable Document Format (PDF) is one of the most widely used file formats for storing and exchanging digital documents due to its platform independence and ric…
On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT
Rahul Jaiswal, Per-Arne Andersen, Linga Reddy Cenkeramaddi +2
The rapid evolution of digital health technologies is redefining healthcare services worldwide. The integration of wireless communication and Internet-enabled medical devices withi…
A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security
Rahul Jaiswal, Per-Arne Andersen, Linga Reddy Cenkeramaddi +2
The rapid adoption of the Internet of Medical Things (IoMT) is transforming healthcare by enabling seamless connectivity among medical devices, systems, and services. However, it a…
Detecting the Unexpected: AI-Driven Anomaly Detection in Smart Bridge Monitoring
Rahul Jaiswal, Joakim Hellum, Halvor Heiberg
Bridges are critical components of national infrastructure and smart cities. Therefore, smart bridge monitoring is essential for ensuring public safety and preventing catastrophic…