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Intrusion Detection System Using Hybrid Differential Evolution and Group Method of Data Handling Approach
White Papers It focuses on intrusion detection based on system call sequences using text processing techniques. This paper proposes a new intrusion detection methodology based on hybrid of Differential Evolution (DE) and Group Method of Data Handling (GMDH).
[November 28, 2008, 23:00]
Intrusion Detection System Tool Kit
White Papers Deploying an intrusion detection system (IDS) could do a lot to close those doors. Our Intrusion Detection System Pack includes three tools that will help you decide whether an intrusion detection system will meet your organization's needs, choose...
[April 28, 2004, 22:57]
Intrusion Detection System Honeypots
White Papers SURFnet is rolling out a Distributed Intrusion Detection System (D-IDS) to detect illegitimate network activity in the LANs of the connected parties. With the immense popularity of the Internet and the growing number of households with a broadband...
[March 4, 2008, 0:02]
A New Intrusion Detection System Using Support Vector Machines and Hierarchical Clustering
White Papers Whenever an intrusion occurs, the security and value of a computer system is compromised. The interest here is in anomaly detection and the proposed method is a scalable solution for detecting network-based anomalies.
[April 11, 2008, 1:02]
Agent-Based Network Intrusion Detection System
White Papers The paper presents security platform based on agents as an efficient and robust solution for high-performance intrusion detection system designed for deployment on high-speed network links. The proposed detection algorithm is based on extension of...
[June 19, 2008, 1:01]
Data Mining for Network Intrusion Detection System in Real Time
White Papers Intrusion detection technology is an effective approach to dealing with the problems of network security. This paper present a data mining-based Network Intrusion Detection framework in real time (NIDS).
[May 31, 2008, 1:01]
HIDE: A Hierarchical Network Intrusion Detection System Using Statistical Preprocessing and Neural Network Classification
White Papers This paper introduces the Hierarchical Intrusion DEtection (HIDE) system, which detects network-based attacks as anomalies using statistical preprocessing and neural network classification. The paper describe the system architecture and the...
[June 3, 2008, 6:09]
New Trend of Intrusion Detection System for High-Speed Networks
White Papers Network Intrusion Detection System (NIDS) is an important and practical tool for network security. To guarantee a precise detection the NIDS must detect packets at a wire speed. However, with the recent trend of high-speed networks, the capability...
[June 12, 2008, 1:01]
MINDS - Minnesota Intrusion Detection System
White Papers This paper introduces the Minnesota Intrusion Detection System (MINDS), which uses a suite of data mining techniques to automatically detect attacks against computer networks and systems. While the long-term objective of MINDS is to address all...
[May 21, 2008, 1:01]
A Grid-Aware Intrusion Detection System
White Papers Existing Intrusion Detection Systems (IDS) are not designed to deal with any specific types of systems. The main stress is put on feature selection and performance of the system. No Grid environment was available for testing, therefore no real-life...
[June 18, 2008, 1:01]
A Semi-Distributed Reputation-Based Intrusion Detection System for Mobile Adhoc Networks
White Papers The paper proposes a semi-distributed approach towards a reputation-based Intrusion Detection System (ids) that combines with the Dynamic Source Routing (dsr) protocol for strengthening the defense of a manet.
[June 24, 2009, 16:02]
An Adaptively Evolving Intrusion Detection System Using Pattern Recognition Techniques
White Papers The goal of this paper is to use pattern recognition techniques to develop a computer network intrusion detection system that adaptively evolves with changing network conditions. Conventional intrusion detection methods in the field of computer...
[October 14, 2008, 1:01]
Performance Comparison of Intrusion Detection System Classifiers Using Various Feature Reduction Techniques
White Papers This paper compares the performance of Intrusion Detection System (IDS) Classifiers using various feature reduction techniques. Many Intrusion Detection Systems are based on neural networks. To enhance the learning capabilities and reduce the...
[June 18, 2008, 1:01]
CAMNEP: Agent-Based Network Intrusion Detection System
White Papers This paper presents a prototype of agent-based intrusion detection system designed for deployment on high-speed backbone networks. The main contribution of the system is the integration of several anomaly detection techniques by means of collective...
[June 18, 2008, 1:01]
Hybrid Intelligent Intrusion Detection System
White Papers This paper proposes a dynamic model Intelligent Intrusion Detection System, based on specific AI approach for intrusion detection. Intrusion Detection Systems are increasingly a key part of systems defense.
[May 31, 2008, 1:01]
The MINDS - Minnesota Intrusion Detection System
White Papers This paper introduces the Minnesota Intrusion Detection System (MINDS), which uses a suite of data mining techniques to automatically detect attacks against computer networks and systems. While the long-term objective of MINDS is to address all...
[June 18, 2008, 1:01]
The Snort Network Intrusion Detection System on the Intel IXP2400 Network Processor
White Papers This paper describes an implementation of the Snort Network Intrusion Detection System (Snort NIDS) on the Intel IXP2400 processor. The Intel IXP2400 network processor was selected to achieve line rates in excess of 2.5 gigabits per second for the...
[June 12, 2008, 1:01]
POSEIDON: A 2-Tier Anomaly-Based Network Intrusion Detection System
White Papers This paper presents POSEIDON, a new anomaly-based network intrusion detection system. Intrusion Detection Systems (IDSs) were introduced by Anderson and formalized later by Denning. Nowadays, there exist two main types of network intrusion...
[June 18, 2008, 1:01]
Comparison of Two Sampling-Based Data Collection Mechanisms for Intrusion Detection System
White Papers Data collection mechanism is a crucial factor for the performance of Intrusion Detection System (IDS). Simple random sampling and Stratified random sampling techniques of statistics are introduced to the procedure of data collection for IDS, and...
[June 19, 2008, 1:01]
A Wireless Distributed Intrusion Detection System and a New Attack Model
White Papers This paper proposes a distributed intrusion detection system in which each node monitors the traffic flow on the network and collects relevant statistics about it. However, this system opens the possibility for misuse.
[May 31, 2008, 1:01]
