TY  - JOUR 
AU  - Qaddoura, Raneem
AU  - Al-Zoubi, Ala´ M.
AU  - Almomani, Iman
AU  - Faris, Hossam
PY  - 2021
UR  - http://hdl.handle.net/10481/68506
AB  - Intrusion detection of IoT-based data is a hot topic and has received a lot of interests from researchers and practitioners since the security of IoT networks is crucial. Both supervised and unsupervised learning methods are used for intrusion...
LA  - eng
PB  - MDPI
KW  - Intrusion detection
KW  - IoT
KW  - Internet of things
KW  - Imbalanced
KW  - Oversampling
KW  - IoTID20
KW  - Clustering
TI  - A Multi-Stage Classification Approach for IoT Intrusion Detection Based on Clustering with Oversampling
DO  - 10.3390/app11073022
ER  -