Intrusion Detection System IDS For Detecting Network Threats And Vulnerabilities.
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47 The research carried out is research in the context of providing advice on the development of information security technology in Koarmada II which carries out a
Berdasarkan pengujian yang dilakukan, didapatkan hasil bahwa implementasi IDS Snort pada jaringan WLAN dapat membantu dalam mendeteksi anomali yang terjadi dalam jaringan
Therefore, the objective of this work is to detect the case of bias fault of the z-gyro sensor and ensure stable flight of the quadrotor through sensor recovery using a camera that is
© Universiti Tun Hussein Onn Malaysia Publisher’s Office IJIE http://penerbit.uthm.edu.my/ojs/index.php/ijie The International Journal of Integrated Engineering ISSN : 2229-838X
The Deep Ensemble Learning and Network Reduction Strategy improved the YOLOv8 performance to detect blood cell type detection by 97.2%... We trained each model on our dataset to fairly
Anomaly Detection Module In this paper, in order to effectively distinguish DDoS attacks in the SDN control layer, a two-stage attack detection method was used.. In the first stage of
This paper introduces a network intrusion detection system NIDS based on a deep neural network that utilizes network data features selected through the bagging and boosting methods..
