Development of intrusion detection system using residual feedforward neural network algorithm
An intrusion detection system (IDS) is required to protect data from security threats that infiltrate unwanted information via a regular channel, both during storage and transmission. This detection system must differentiate between normal data and abnormal or hacker-generated data. Additionally, th...
Saved in:
Main Authors: | Rustam, Rushendra, Ramli, Kalamullah, Hayati, Nur, Ihsanto, Eko, Gunawan, Teddy Surya, Halbouni, Asmaa Hani |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2022
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/96797/2/2021_ISRITI_Cert_Development_of_Intrusion_Detection_System_using.pdf http://irep.iium.edu.my/96797/13/96797_Development%20of%20intrusion%20detection%20system.pdf http://irep.iium.edu.my/96797/ https://edas.info/web/20214thisriti/index.html https://doi.org/10.1109/ISRITI54043.2021.9702773 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fast and accurate algorithm for ECG authentication using residual depthwise separable convolutional neural networks
by: Ihsanto, Eko, et al.
Published: (2020) -
An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks
by: Ihsanto, Eko, et al.
Published: (2020) -
CNN-IDS: Convolutional Neural Network for network intrusion detection system
by: Halbouni, Asmaa Hani, et al.
Published: (2022) -
CNN-LSTM: hybrid deep neural network for network intrusion detection system; a case
by: Halbouni, Asmaa Hani, et al.
Published: (2022) -
Speech emotion recognition using deep feedforward neural network
by: Alghifari, Muhammad Fahreza, et al.
Published: (2018)