Hybrid self-organizing feature map (SOM) for anomaly detection in cloud infrastructures using granular clustering based upon value-difference metrics
IM Stephanakis, IP Chochliouros, E Sfakianakis… - Information …, 2019 - Elsevier
We have witnessed an increase in the availability of data from diverse sources over the past
few years. Cloud computing, big data and Internet-of-Things (IoT) are distinctive cases of …
few years. Cloud computing, big data and Internet-of-Things (IoT) are distinctive cases of …
Anomaly Detection In Secure Cloud Environments Using a Self-Organizing Feature Map (SOFM) Model For Clustering Sets of R-Ordered Vector-Structured Features
IM Stephanakis, IP Chochliouros… - Proceedings of the 16th …, 2015 - dl.acm.org
Cloud computing delivers services over virtualized networks to many end-users. Cloud
services are characterized by such attributes as on-demand self-service, broad network …
services are characterized by such attributes as on-demand self-service, broad network …
Detecting New Patterns of Attacks—Results and Applications of Large Scale Sensoring Networks
T Voss, KP Kossakowski - 2006 - dl.gi.de
It is still not clear, how large scale sensoring networks can be turned into useful ressources
of incident response teams. Recent research has shown that the work of incident response …
of incident response teams. Recent research has shown that the work of incident response …