Development of intrusion detection system using residual feedforward neural network algorithm

• 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: TK7885 Computer engineering
• 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

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...