Algoritme Jurnal Mahasiswa Teknik Informatika
Vol 7 No 1 (2026): October 2026 || Algoritme Jurnal Mahasiswa Teknik Informatika

Rancang Bangun Sistem Deteksi Dini Serangan Wi-Fi Berbasis ESP32 Dengan Dashboard Node-RED

Jason - (Universitas Bunda Mulia)
Jusia Amanda Ginting (Unknown)



Article Info

Publish Date
06 Oct 2026

Abstract

Standard wireless networks have a fundamental vulnerability in unencrypted management frame transmissions, making them susceptible to Deauthentication and Authentication Flood attacks. Commercial intrusion detection solutions are often expensive and complex for Small Office/Home Office (SOHO) environments. This research aims to design a low-cost Wireless Intrusion Detection System (WIDS) prototype based on the ESP32 microcontroller to detect management frame anomalies. The detection method utilizes a static threshold alongside Promiscuous Mode to passively capture packets. A channel hopping mechanism is implemented across 13 channels in the 2.4 GHz spectrum with a 400-millisecond interval. Attack alerts are transmitted via the MQTT protocol to a Node-RED dashboard for real-time visualization. Testing results demonstrate that the system successfully detects four types of flooding attacks (Deauthentication, Disassociation, Authentication, and Probe Request) with an average accuracy of 78.5%. The system also features a 20-slot Ring Buffer Queue to prevent log loss during temporary connection drops (Micro-Blindness). Furthermore, applying Static IP and BSSID binding successfully reduced connection recovery time from 3000 ms to under 400 ms. In conclusion, the ESP32-based WIDS proves to be an effective, functional, and efficient first-line defense for SOHO environments.

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Journal Info

Abbrev

algoritme

Publisher

Subject

Computer Science & IT

Description

Jurnal Algoritme menjadi sarana publikasi artikel hasil temuan Penelitian orisinal atau artikel analisis. Bahasa yang digunakan jurnal adalah bahasa Inggris atau bahasa Indonesia. Ruang lingkup tulisan harus relevan dengan disiplin ilmu seperti: - Machine Learning - Computer Vision, - Artificial ...