CapBad: Content-Agnostic, Payload-Based Anomaly Detector for Industrial Control Protocols
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3138534
Abstract: Efficient anomaly detection methods are urgently needed to prevent attacks in the application layer of the Industrial Internet of Things (IIoT). The existing intrusion detection systems have certain limitations in detecting abnormal packets exploited by… read more here.
Keywords: anomaly detector; based anomaly; content agnostic; payload based ... See more keywords
Ensemble and Random RX With Multiple Features Anomaly Detector for Hyperspectral Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3167758
Abstract: Hyperspectral anomaly detection (HAD) has always been a hot topic in hyperspectral image (HSI) processing. The Reed-Xiaoli (RX) detector is one of the most widely used methods for HAD. However, most improved versions of RX… read more here.
Keywords: anomaly detector; random multiple; ensemble random; multiple features ... See more keywords
Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.2978491
Abstract: Hyperspectral anomaly detection (HAD) has drawn a significant attention of late due to its importance in many military and civilian applications. In this article, a fast hyperspectral anomaly detector that combines multiple features and isolation… read more here.
Keywords: multiple features; anomaly detector; isolation forest; features isolation ... See more keywords