Intrusion Detection in SCADA Systems Using One-Class Classification

To address this we propose a method based on rules clustering which builds a knowledge base for NIDS performance for a large number of vulnerabilities.. Finally, we present

small

Dans ce papier, nous utilisons la décomposition modulaire afin de réduire la taille du graphe de flux utilisé pour générer les signatures.. Définition 1 Soit G = (V, E) un

During experiments with the algorithm Farthest First Traversal we tried to reveal the effect of number of generated clusters on success rate of the classification of network

Our goal is to be able to highlight the aforementioned issues by conducting automated evaluations of cloud network security mechanisms. These evaluations would aim at analyz-

UNIDS uses a novel unsupervised outliers detection approach based on Sub-Space Clustering and Multiple Evidence Accumulation techniques to pin-point different kinds of

While finding duplicates in ORCID is, in general, as complex as finding au- thor duplicates in research literature (i.e., none or limited ground truth), we can leverage the

1) The main security threats and the types of intruders in the industrial network of the enterprise are considered. A comparative analysis of software systems to ensure the safety