Intrusion Detection System for IoT

ML-based IDS for IoT infrastructure, presented at ICTIST 2022 (London) and extended to Smart Cities networks (EAI Transactions, 2023).

Two related publications on applying machine learning to intrusion detection in constrained network environments.

IoT Architecture

IoT system architecture: heterogeneous edge devices communicating over layered protocols — the environment targeted by the IDS.

SIEM & Monitoring Infrastructure

Security Information and Event Management (SIEM) infrastructure — the operational context for deploying ML-based intrusion detection at scale.

Publications

Venue Title Year
ICTIST (London, UK) Intrusion Detection System for IoT Infrastructure 2022
EAI Transactions on Smart Cities An Intelligent ML-Based IDS for Smart Cities Networks 2023

Approach

  • IoT IDS (ICTIST 2022): Lightweight intrusion detection for resource-constrained IoT devices, focusing on detection accuracy under edge computing constraints.
  • Smart Cities IDS (EAI 2023): Extended to heterogeneous Smart Cities traffic using ensemble ML methods to improve detection across diverse traffic profiles.

Stack. Python · scikit-learn · network traffic feature engineering