Morgan State University (20250103714). Ensemble Intrusion Detection System for IoT Platforms
Ensemble Intrusion Detection System for IoT Platforms
Organization Name
Inventor(s)
Kevin Kornegay of Towson MD US
Otily Toutsop of Baltimore MD US
Ensemble Intrusion Detection System for IoT Platforms
This abstract first appeared for US patent application 20250103714 titled 'Ensemble Intrusion Detection System for IoT Platforms
Original Abstract Submitted
an automated method and system for modeling intrusion detection on an internet of things network preprocess received raw data packets. the raw data packets are converted to a packet capture file, which is converted to a comma separated value (csv) file. the csv file is filtered to create normal and abnormal csv files. an attack is identified in the abnormal csv file. features associated with the attack are labeled and classified as an attack type. the abnormal and normal csv files are merged. redundant data is removed from the merged file, which is added to a concatenated file with other merged files. features are extracted from the concatenated file and a machine language (ml) model is built using the extracted features. ml classifiers are determined for each merged file for the ml model to build an ensemble ml model. a dynamic ensemble of ml classifiers detects evolving attack types.
