Theoretical and Applied Foundations for Intrusion Detection in Single and Federated Clouds

The most important system features of developed and partially implemented M-AHIDS are integration of the several anomaly detection tech- niques in a form of agent, machinery of

the output of the detection modules (e.g. it informs the user or a central system) and stores other information such as the alert database. Finally, the detection module detects

As a result, our analysis technique allows overcoming common restrictions in previous work such as unexpected runtime errors in the Java Virtual Machine (JVM) or applications

The proposed intrusion detection systems considers a general type of an attack scenario where malicious packets are injected into a SCADA network system composed of a

However IaaS clouds features, such as multi-tenancy and elasticity, generate new security vulnerabilities [1] for which the security monitoring must be partly run by the cloud

Probe index Spectrogram Processed spectrogram Loss function for autoencoder learning 4-norm distance Reconstruction error Error time series Detection threshold Cumulative

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This paper presents an intrusion detection system based on the model of the human immune system and which will use the artificial immune systems paradigm.. Furthermore