Low-Rate False Alarm Anomaly-Based Intrusion Detection System with One-Class SVM

Relaxing the assumption that stationarity would be some absolute property, the basic idea underlying the approach proposed here is that, when con- sidered over a given duration,

Within this setting, we propose Kernel Principal Component Analysis based Mahalanobis kernel as a new outlier detection method using Mahalanobis distance to

Traditional IDS monitor the network transactions focus- ing on matching signatures of known cyberattacks stored in the database of network packets [4]. However, these IDS can-

Dans ce type de situation, pour disposer d’un système de décision qui reste opérationnel et qui li- mite la dégradation des performances nous proposons de prendre la décision

In order to evaluate the effec- tiveness of the proposed multi-task learning frame- work, we compare our one-class SVM based multi- task learning method (denoted by MTL-OSVM) with

The goal of this application is to create a module of learning, for a steam-based document images classification (especially dedicated to a digitization process with a huge

This first solution for OCC, called One Class Ran- dom Forests (OCRF), is based on a random forest (RF) algorithm [15] and an original outlier generation procedure that makes use of

Based on the existing Transductive SVM and via introducing smooth function P ( , )   to construct smooth cored unconstrained optimization problem, this article