IoTEdu: Access Control, Detection, and Automatic Incident Response in Academic IoT Networks

TL;DR

IoTEdu is an integrated platform designed to enhance security in academic IoT networks by automating access control, attack detection, and incident response, thereby reducing manual effort and standardizing procedures.

Contribution

This paper introduces IoTEdu, a novel platform that unifies IoT device management and security processes in academic environments, with automated detection and response capabilities.

Findings

Detection and blocking time averaged 28.6 seconds

Reduced manual intervention in incident response

Standardized registration and monitoring processes

Abstract

The growing presence of IoT devices in academic environments has increased operational complexity and exposed security weaknesses, especially in academic institutions without unified policies for registration, monitoring, and incident response involving IoT. This work presents IoTEdu, an integrated platform that combines access control, incident detection, and automatic blocking of IoT devices. The solution was evaluated in a controlled environment with simulated attacks, achieving an average time of 28.6 seconds between detection and blocking. The results show a reduction in manual intervention, standardization of responses, and unification of the processes of registration, monitoring, and incident response.