intrusion detection system classification
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Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines
White Paper This paper shows that SVMs are superior to ANNs in three critical respects of IDSs: SVMs train and run an order of magnitude faster; SVMs scale much better; and SVMs give higher classification accuracy. [14 Oct 2008]
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. Classification and clustering... [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 IDS... [10 Jul 2008]
A Load Balancing Algorithm for High Speed Intrusion Detection
White Paper Inspired from the concept of bit entropy and bit flow entropy, a novel load-balancing algorithm named Dimension-based Classification Algorithm (DCA) is introduced in this paper. Load balancing is applied to the... [10 Jul 2008]
NIC-Based Intrusion Detection: A Feasibility Study
White Paper Functions such as signature-based and anomaly-based packet classification are performed on the NIC, which has its own processor and memory. This paper presents and evaluates a NIC-based network intrusion... [09 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 models and neural... [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. The underlying assumption of intrusion detection is an attack will noticeably affect... [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 and evaluates... [30 Jun 2008]
Intrusion Detection Systems: A Survey and Taxonomy
White Paper The taxonomy consists of a classification first of the detection principle, and second of certain operational aspects of the intrusion detection system... [30 Jun 2008]
Network Intrusion Detection Through Adaptive Sub-Eigenspace Modeling in Multiagent Systems
White Paper The proposed IDS architecture consists of the Host layer with lightweight host agents that perform anomaly detection in network connections to their respective hosts, and the Classification layer whose... [25 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. The ontology is based upon an analysis of over 4,000 classes of computer... [12 Jun 2008]
On the Fly Pattern Matching for Intrusion Detection With Snort
White Paper This strategy was employed after a new classification of detection rules. Intrusion Detection Systems are important tools for system administrators to... [05 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 network... [03 Jun 2008]
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