Anomaly-based multi-stage attack detection framework.
Anomaly-based multi-stage attack detection framework.
Pengpeng Jian (12356824) +3 more
core +1 more source
Progressive Spatiotemporal Graph Modeling for Spacecraft Anomaly Detection. [PDF]
Chen Z, Li Z, Cao Y, Wang Y, Chang H.
europepmc +1 more source
Filtering and refinement: a two-stage approach for efficient and effective anomaly detection
Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances.
Yu, Xiao
core
Road Traffic Anomaly Detection by Human-Attention-Assisted Text-Vision Learning. [PDF]
Chai Y, Silamu W.
europepmc +1 more source
ANIMATE: Unsupervised Attributed Graph Anomaly Detection with Masked Graph Transformers. [PDF]
Hu J, Zhang Y, Zhu C, Hou C.
europepmc +1 more source
Anomaly detection in GUIs applied to websites [PDF]
LAUREA MAGISTRALEQuesta tesi presenta un approccio innovativo alla rilevazione di anomalie nelle Interfacce Grafiche Utente (GUI) dei siti web, focalizzandosi sul rilevamento di anomalie visive che si discostano dall'aspetto previsto della GUI ...
Volta, Davide
core
Anomaly Detection for Structural and Functional Connectivity in Glioma Patients. [PDF]
Colpo M +6 more
europepmc +1 more source
LAPIS: Layered anomaly detection system for IoT security
Internet of Things (IoT) is a rapidly growing technology that significantly benefits and impacts our daily lives. However, with the rise of IoT, new challenges in security have emerged.
Limbasiya, T. +4 more
core
Unsupervised Anomaly Detection in Medical Imaging: A Survey of Methods, Challenges, and Future Directions. [PDF]
Liu B +6 more
europepmc +1 more source
DeepSense: An Adaptive Scalable Ensemble Framework for Industrial IoT Anomaly Detection. [PDF]
Firouzi A, Ghorbani AA.
europepmc +1 more source

