Enhancing Security in Cyber-Physical Systems through AI

Authors

  • Pat Nelson
  • Riley White
  • Cameron Thomas

Keywords:

Cyber-Physical Systems, AI Security, Machine Learning, Threat Detection, Infrastructure Protection

Abstract

In this paper, we propose an AI-based framework to enhance the security of cyber-physical systems. By employing advanced machine learning techniques, our approach detects and mitigates potential threats in real-time, ensuring the integrity and reliability of these systems. Experimental results demonstrate the framework's effectiveness in safeguarding critical infrastructures against cyber threats.

Author Biographies

Pat Nelson

PhD
California Institute of Technology
1200 E California Blvd, Pasadena, CA 91125, USA

Riley White

PhD
ETH Zurich
Rämistrasse 101, 8092 Zürich, Switzerland

Cameron Thomas

PhD
National University of Singapore
21 Lower Kent Ridge Rd, Singapore 119077

References

Kumar, N., & Kataria, V. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

Рагимов, Э. Р. О. (2011). Метрология элементов безопасности программных комплексов, реализующих систему защиты информации корпоративных сетей. Вопросы защиты информации, (2), 36-41.

Published

2024-12-24

Issue

Section

Articles