Analisis Trafik Jaringan menggunakan Wireshark untuk Deteksi Serangan Deauthentication pada Perangkat Kamera Wi-Fi

Authors

  • Anisa Febriyana Putri Teknik Informatika, STMIK Palangkaraya
  • Abdul Hadi Teknik Informatika, STMIK Palangkaraya
  • Lili Rusdiana Teknik Informatika, STMIK Palangkaraya

DOI:

https://doi.org/10.33020/saintekom.v15i2.967

Keywords:

wi-fi camera, deauthentication attack, network security

Abstract

The widespread adoption of wireless networks has increased the popularity of Wi-Fi-based cameras due to their ease of installation and flexibility. However, Wi-Fi devices are highly vulnerable to deauthentication attacks, a type of denial-of-service (DoS) attack that repeatedly disconnects devices from the network without user awareness. This study presents a controlled experiment simulating deauthentication attacks on Wi-Fi cameras and detecting them using Wireshark. The findings demonstrate that these attacks consistently disrupt camera connectivity, causing interruptions of 50 seconds to 1 minute and 18 seconds across two scenarios. In the first scenario, the camera connection temporarily recovered between disruptions, while in the second, it remained in a reconnecting state without restoration. All attacks were successfully identified through captured deauthentication packets. This work provides experimental validation of a widely used deauthentication attack technique leveraging the Kali Linux operating system, emphasizing its significant impact on Wi-Fi cameras. Furthermore, it highlights the importance of developing mitigation strategies to address this threat in real-world environments.

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Published

30-09-2025

How to Cite

Putri, Anisa Febriyana, Abdul Hadi, and Lili Rusdiana. 2025. “Analisis Trafik Jaringan Menggunakan Wireshark Untuk Deteksi Serangan Deauthentication Pada Perangkat Kamera Wi-Fi”. Jurnal Saintekom : Sains, Teknologi, Komputer Dan Manajemen 15 (2):165-76. https://doi.org/10.33020/saintekom.v15i2.967.

Issue

Vol. 15 No. 2 (2025): September 2025

Section

Articles

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Copyright (c) 2025 Anisa Febriyana Putri, Abdul Hadi, Lili Rusdiana

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