attacks intrusion detection system classification

Classification, Clustering and Application in Intrusion Detection System

White Paper Some of the applications of data mining are text classification, selective marketing, medical diagnosis, intrusion detection systems. They detect attacks using the data... [10 Jul 2008]

Network & Agent Based Intrusion Detection Systems

White Paper This classification depends on their Data Gathering Components (sensors), which they use to collect data to detect possible attacks against system. Besides general definitions of these... [10 Jul 2008]

A Hierarchical Anomaly Network Intrusion Detection System Using Neural Network Classification

White Paper This paper introduces a hierarchical anomaly network intrusion detection system, which is capable of detecting network - based attacks using statistical preprocessing... [09 Jul 2008]

Artificial Neural Networks Architecture for Intrusion Detection Systems and Classification of Attacks

White Paper Neural networks method is a promising technique, which has been used in many classification problems. Intrusion Detection Systems (IDS) aim at protecting networks and computers from... [03 Jul 2008]

Global Intrusion Detection in the DOMINO Overlay System

White Paper This enables efficient detection of attacks from spoofed IP sources, reduces false positives, and enables attack classification and production of timely blacklists. This paper describes... [30 Jun 2008]

A Neural Network Based System for Intrusion Detection and Classification of Attacks

White Paper While most of the previous studies have focused on classification of records in one of the two general classes - normal and attack, this research aims to solve a multi class problem in which the type of attack is also... [19 Jun 2008]

A Feature Classification Scheme for Network Intrusion Detection

White Paper This paper presents a feature classification schema for network intrusion detection intended to provide a better understanding regarding the features that can be extracted from network... [18 Jun 2008]

A Target-Centric Ontology for Intrusion Detection

White Paper The benefits of forgoing dependence are stated upon taxonomies, in favor of ontologies, for the classification of computer attacks and intrusions. This paper has produced an ontology specifying a model... [12 Jun 2008]

HIDE: A Hierarchical Network Intrusion Detection System Using Statistical Preprocessing and Neural Network Classification

White Paper This paper introduces the Hierarchical Intrusion DEtection (HIDE) system, which detects network-based attacks as anomalies using statistical preprocessing and neural... [03 Jun 2008]

HIDE: A Hierarchical Network Intrusion Detection System Using Statistical Preprocessing and Neural Network Classification

This paper introduces the Hierarchical Intrusion DEtection (HIDE) system, which detects network-based attacks as anomalies using statistical preprocessing and neural... [03 Jun 2008]

Real-Time Multistage Attack Awareness Through Enhanced Intrusion Alert Clustering

White Paper This paper present an attack-stage oriented classification of alerts using Snort as an example, and demonstrate that this effectively improves real-time Situation Awareness of multistage attacks. Snort... [11 Apr 2008]

A New Intrusion Detection System Using Support Vector Machines and Hierarchical Clustering

White Paper Support Vector Machines (SVM) is used for classification. Whenever an intrusion occurs, the security and value of a computer system is compromised. The interest here is in anomaly... [11 Apr 2008]

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