Feature selection using chi square to improve attack detection classification in IoT network: work in progress

• Main Authors: Saputra Elsi, Zulhipni Reno, Stiawan, Deris, Oklilas, Ahmad Fali, Susanto, Susanto, Kurniabudi, Kurniabudi, Kunang, Yesi Novaria, Idris, Mohd. Yazid, Budiarto, Rahmat
• Format: Conference or Workshop Item
• Published: 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/99402/; http://dx.doi.org/10.23919/EECSI56542.2022.9946621
• Institution: Universiti Teknologi Malaysia

To maintain network security, Intrusion Detection System (IDS) is needed to detect anomaly and attack. Designing proper IDS requires accurate model. This paper proposes a model, which consists of statistical extraction, feature selection, dataset clustering, classification, and performance measureme...