Research Article
Performance of Kismet Wireless Intrusion Detection System on Raspberry Pi
@INPROCEEDINGS{10.4108/eai.27-11-2021.2315535, author={Gede Arna Jude Saskara and I Made Edy Listarta and Gede Saindra Santyadiputra and Putu Bayu Megawanta and Putu Agus Wahyu Adi Perdana Giri}, title={Performance of Kismet Wireless Intrusion Detection System on Raspberry Pi}, proceedings={Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia}, publisher={EAI}, proceedings_a={ICONVET}, year={2022}, month={2}, keywords={wireless intrusion detection system kismet raspberry pi}, doi={10.4108/eai.27-11-2021.2315535} }- Gede Arna Jude Saskara
I Made Edy Listarta
Gede Saindra Santyadiputra
Putu Bayu Megawanta
Putu Agus Wahyu Adi Perdana Giri
Year: 2022
Performance of Kismet Wireless Intrusion Detection System on Raspberry Pi
ICONVET
EAI
DOI: 10.4108/eai.27-11-2021.2315535
Abstract
Attacks on wireless networks can disconnect and slow down the network by flooding the network with junk packets or Dos and scanning. To solve these problems, a system that is able to monitor and detect security problems is needed. The system that can detect and monitor security problems is known as the Intrusion Detection System. One of the Intrusion Detection System software that is widely used is Kismet. In this research, the Kismet Intrusion Detection System software used to secure wireless networks was installed on a Raspberry Pi to measure the performance of the Kismet Intrusion Detection System. The method used in this study was a literature review that proceeded with a system design that included designing the topology and tests. The next step was implementing the system, followed by testing the performance of the Intrusion Detection System so that conclusions can be drawn and made into a report. Based on research on Intrusion Detection System Performance using Kismet software installed on the Raspberry Pi, it was concluded that Kismet installed on the Raspberry Pi could detect 10 Denial of Service attacks from 10 attacks with an average detection rate of attacks sent until detected by Kismet was 3.42 seconds. Therefore, it can be said that the performance of the Kismet intrusion detection system installed on the Raspberry Pi was accurate and could detect attacks quickly
