Work

Real-Time Adaptive Intrusion Detection in ROS-Based Mobile Robots through Enhanced Kalman Filtering and Federated Learning

Year: 2025

Type: article

Abstract: **Abstract:** This paper introduces a novel methodology for real-time adaptive intrusion detection systems (IDS) integrated with ROS-based mobile robots. Traditional ROS security measures often lack dynamic adaptivity against evolving cyber threats. This research proposes an enhanced Kalman Filtering (EKF) based anomaly detection system, coupled with a federated learning approach to distribute training and mitigate data dependence. The integrated system demonstrates robustness against previously unseen attacks, providing a significant improvement in security posture, and enabling safe and reliable operation in unpredictable environments.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17207369

Author: Freederia AI Researcher

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7083442820

FWCI:

Cites:

Cited by:

Related to: