intrusion-detection

Making files immutable is often done as part of a security or intrusion detection effort.

As As an active security defense technology, intrusion detection makes up for the weaknesses of traditional security technology.

The intent of good developer-oriented intrusion detection is to get the maximum benefit with the least amount of time.

The same analysis showed that an investment in Intrusion Detection did not reduce enough losses to justify its cost.

Forrest. The simulation results show that this method has better intrusion detection rates.

The goal of this step is to format the payload in such a way that it can evade entrenched intrusion-detection systems (IDSs).

An analytical math model was established basing on three form and decline of biological memory and was used in intrusion detection system.

This paper discusses the traditional algorithm of na? ve bayes in intrusion detection and points out the shortcomings of it.

The intrusion detection system as one of the key technology while auditing safely , is the important component of network safe protection.

Thus, many illegal connections do not use the standard port or use the tunnel technology to evade the intrusion detection system's testing.

Intrusion Detection is an important security technology of protecting information system as well as firewall and data encryption techniques.

If an actual ID cannot process data, so the intrusion detection behavior cannot be detected by the detection system accrual.

The performance of a signature-matching-based network intrusion detection system (NIDS) is dominated by pattern matching algorithm.

Intrusion detection and prevention is enabled with an annually licensed IPS engine with Juniper Deep Inspection Firewall signature packs.

Model improves the efficiency of network intrusion detection system with a higher detection rate and low false negative rate by experiment.

Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities.

Development direction of intrusion detection technology is brought forward after the attack technology is discussed.

Because of the scalability of finite automaton, the intrusion detection system was made to be of certain anomaly detection capabilities.

This mechanism has a perfect scalability and is well fitted to the characteristic of large-scale distributed intrusion detection systems.

Intrusion detection system (IDS) is an active security technology which can prevent the network resources from being attacked by hackers.

Then there are a number of intrusion detection systems (IDS) like the very popular Snort and logsnorter.

It's an intrusion detection system -- not just a tool.

Intrusion detection system as a reasonable complement of Firewall can detect real-time computer and network intrusion events.

Information security of the C3I system includes communication security, information authentication, intrusion detection and virus defence.

Intrusion detection systems are one of the important ways to protect the security of wireless local area networks(WLANS).

An intrusion detection system with multi detection engines could overcome the limitations of one with a single detection engine.

Ie. An intrusion detection system may need to trap every packet on the network and feed it into a system.

Intrusion detection belongs to the category of classification and pattern recognization in a broad sense.

It's Security Agents for Network Traffic Analysis uses mobile software agents for intrusion detection in a network of computers.

A hybrid intrusion detection model is presented against the high false positive and false negative rate in Intrusion Detection System (IDS).

The paper proposed the application of a data mining algorithm in intrusion detection system.

The network security, this paper dielectric from the firewall, attack and emergency response, intrusion detection, several simple hackers.

The dissertation mainly aims at applying support vector machine (SVM) and kernel principal component analysis (KPCA) to intrusion detection.

Intrusion detection - Alarm control and indicating equipment - Requirements.

This thesis describes the design and implementation of a Network-based Intrusion Detection System, NetShield.

Absrtact: Invasion eigenvalue and discovery algorithm are the key technologies to misuse intrusion detection technology.

In applications of intrusion detection and stateful filtering, conflict discovery and resolution are key issues affecting security and QoS.

Finally, a distributed model of intelligent intrusion detection based on the human immune system is raised, and its working process is . . .

Intrusion Detection Technology and Its Importance in the Network of Colleges and Universities.

The experimental results prove that the method can create the valid decision tree for the intrusion detection system.

INTRUSION DETECTION. ULTRASOUND MOTION DETECTORS. SPECIFIC STANDARD.

For a good collection of papers on topics ranging from securing a Web server to intrusion detection.

Intrusion detection is a new technology which developed with the network technology and information security technology.

Intrusion detection system can discover potential intrusion behavior by collecting and analyzing various network data.

Some useful results on software fault-tolerant, software test techniques, and network intrusion detection are also presented.

INTRUSION DETECTION. OPENING DETECTORS, CONTACT. SPECIFIC STANDARD.

For this kind of intelligent intrusion detection system, the training dataset is important to the performance of the IDS.

As an active technology of security, intrusion detection is the focus of lots of recent researches.

Intrusion detection as a proactive security protection technology has become a part of the future network security study.

Intrusion detection and prevention, at both the host and network layer, are staples of information security infrastructure today.

Main work include: The article analyzed currently intrusion detection technique the weakness of haleness, study and ability. etc.

INTRUSION DETECTION. ALARM SYSTEMS. ALARM SYSTEMS USING WIRE-FREE OR NON SPECIFIC WIRED LINKS. SPECIFIC STANDARD FOR HERTZIAN LINKS.

Taking the example of designing classifier in intrusion detection system, the selection of training samples for classifier is studied.

Intrusion detection - Very-high frequency motion detectors - Specific standard.

A dedicated intrusion detection and removal Trojan horse on your system the professional program, built 3093 Trojan logo.

Therefore, research on collaboration between honeypot and intrusion detection systems is a problem worthy of study.

Pattern matching algorithm is an important algorithm, used by most of Intrusion Detection System.

The authors quickly jump into two important topics: problems with Intrusion Detection Systems, or IDSs, and bypassing filters.

Network-based intrusion detection system (NIDS) detects attacks by capturing and analyzing network packets.

It is mostly used in the function optimization, engineering control and intrusion detection.

Install multiple intrusion-detection systems and multiple routers for incoming traffic to reduce choke points.

Actually, the difficult of intrusion detection focuses on detection efficiency, fault alert and failure alert.

Using too many or too too few characters(variable) in Intrusion Detection System(IDS) leads to reduce recognizing correctness of IDS.

The capability of intrusion detection system is affected directly by match rules and precision of match probability.

This article provides an analysis of the genetic algorithm in network intrusion detection.

The content of this article is base on the artificial immune model of intrusion detection.

Intrusion detection technology also is an address hotspot at recently.

Then introduces spectral clustering algorithm based on deficiencies of variety of traditional clustering algorithms on intrusion detection.

The paper proposes the model of IDS and computer forensic system. It connects intrusion detection and computer forensic.

As Intrusion Detection require analytical data which record system track, it applies to almost all computer systems.

Behavioral data forensics emphasizes the course which supports ability of intrusion detection on the judge.

Examples of clustering IRIS data and alerts in intrusion detection also proved the good performance of the KSOM method.

Anomaly monitoring is an important branch of intrusion detection.

Intrusion detection technology is a kind of network security technology that protects network initiatively to exempt to be attacked.

Intrusion detection system monitors computer network by looking for signs of malicious behavior.

The SonicWALL's intrusion detection and prevention abilities include digital rights management, P2P and instant messaging controls.

The paper provided a new model, the interaction with vulnerability scanner and Intrusion Detection System (IDS).

Intrusion detection which protects system actively from hacker's attacks is a new technique during these two decades.

To form node intrusion detection system by combining the character of host intrusion detection system and net intrusion detection system.

It's true that both intrusion detection and Snort usage extends well beyond Web sites and into larger network security issues.

This paper also indicates that evaluation of intrusion detection system on large scale network is the trend today.

Chapter two recommend the Common Intrusion Detection Frame (referred to as CIDF), that is a specification of communication among IDSes.

Consider security measures like Firewall and Intrusion Detection System.

The method applied in intrusion detection system can divide exactly between normal data and abnormal date.

Deepen our understanding of the intrusion detection system works.

Disables the Intrusion Detection System, leaving your computer open to network attacks.

How to extract sequence patterns of system calls is an important research topic of system call based intrusion detection approaches.

Aimed at the security problem existing in WLAN, a WLAN intrusion detection and response system has been designed.

The main contributions in this paper are as follows: 1. Research and build a state-based intrusion detection system (IDS); 2.

Using RVM in the intrusion detection the generalization ability of the IDS is good when the sample size is small.

The main contributions in this paper are as follows: 1. Research and build a state-based intrusion detection system (IDS); 2.

Using RVM in the intrusion detection the generalization ability of the IDS is good when the sample size is small.

The experiments show that the algorithm is efficient and can get better intrusion detection rules.

Optimizing configuration for intrusion detection system (IDS) is a new research area for IDS.

The Intrusion detection system(IDS) is one kind of defense system for network, It is passive.

The paper also discusses a new intrusion detection technology: protocol analysis.

A novel rough set-based method followed by establishing a mix discernibility matrix is introduced for intrusion detection, and choose C4.

The theory of intrusion detection is mature after scholars have being studied it for so many years.

The first tools for meeting these requirements are system auditing and host-based intrusion detection.

In this paper, an intrusion detection scheme is proposed to detect internal routing attacks.

This paper analyzes the database security monitoring system based on intrusion detection and intrusion tolerance technique.

Advanced detective technology is a key factor in the research on intrusion detection.

Finally, we propose a method of application-level database intrusion detection.

Defending the network when intrusion detection and firewalls fail.

In this paper, a data mining-based network intrusion detection system model is introduced.

This paper presents a level of collaboration hybrid Distributed Intrusion Detection System Model.

Network-based intrusion detection system is based on network traffic, network protocol analysis and packet data to detect intrusion.

In the realization of data mining-based intrusion detection system (DMIDS), feature construction is a key process.

In this thesis, some research on feature selection and ensemble learning and their applications in intrusion detection are carried out.

The high-speed network put forward higher request to intrusion detection system.

In order to maintain network security, common intrusion detection systems have to monitor the entire network environment.

Current intrusion detection system in general there is poor adaptability, false, omitted the issue of data overload.

Based on the in-deep research on inductive learning theory, a rule learning algorithm is applied in building the intrusion detection model.

Distributed intrusion detection system collects data based on sensors, and send data to still agent (also, local agent) for analysis.

One is how to apply data mining technology to IDS . the other is about technologies that are adopted by intrusion detection engine.

There's also information on buffer overflows, firewalls, intrusion detection, and lots more.

Another problem with signature-based intrusion detection is that it can only match malicious activity with known forms of attack.

Intrusion Detection is an important way to protect information security. It has great influence on the development of network application.

It can be propitious to enhance detective precision and to reduce burthen of the intrusion detection system.

Thus, they are used in intrusion detection, it will generate multiple insignificant rules and even they are misguided.

Every sub-net which is controlled by control agent adopts different intrusion detection analysis method.

Distributed intrusion detection systems( DIDS) have many advantages such as scalability, subversion resistance.

Such as handwritten Chinese character recognition, face recognition, network intrusion detection.

Applying a two-stage clustering algorithm to the intrusion detection, a IDS model based on data stream is designed.

In this paper, a novel real-time and dynamical rule generation method for network intrusion detection stream was proposed.

As an important part of network security, Intrusion Detection System(IDS) softwares, such as NFR, ISS, are still main equipments of today.

Detecting engine is core of PNIDS, pattern matching is being apply ed in intrusion detection.

The intrusion detection sensor is also in this list, and it is triggered when tampering of the physical device is detected.

In order to improve the performance of IDS (Intrusion Detection System), a synthetic dimension reduction method is proposed in this paper.

SO the RBF network is very suitable for intrusion detection test which has the high requirements of efficiency and speed.

An ideal intrusion detection system must have high detection rate and low false alarm rate in the same time, besides high performance.

The Intrusion Detection is a new security technology, apart from tradition security protect technology, such as firewall and data crypt.

Finally, an intrusion detection system model based on hybrid neural network is presented.

Other application areas include intrusion detection, web log analysis, database access patterns, and so on.

So what is an intrusion detection system, anyway?

And then, the development of the audit management model and intrusion detection model further controls the accession of the user.

For added security, consider installing and configuring an Intrusion Detection System (IDS), such as Snort, on each machine.

This paper presents an intrusion detection module based on mobile agents, which utilizes IP Traceback technique.

Research on host modeling and intrusion detection based on two-lay Hidden Markov Model.

Does the facility have an intrusion detection or alarm system?

In this paper, an intrusion detection method based on fuzzy genetics is presented.

You will need to consider network traffic monitors, rate limiters, intrusion detection tools, and more.

In view of above, we design and implement a prototype system of intrusion detection.

At present, intrusion detection system faces some problems: a large quantity of data, memory lacking, and so on.

This paper designed a kind of load balancing technology in a intrusion detection system based on cluster (HMNIDS).

You need to consider network traffic monitors, rate limiters, intrusion detection tools, and more, in order to defend against a DoS attack.

The method is based on the intrusion detection model and the entropy is used as the criterion.

Intrusion detection is a technology that can detect intrusion and make response before network system will get harm.

On the other hand, EACA is used in intrusion detection module, which makes new intrusions be detected.

A study of a IDS model based on dynamic clonal selection and its application to searching core attribute set of intrusion detection

Study of a cooperative agent-based distributed intrusion detection model

Integrated Security Protection Equipment; Traffic Statistics; Intrusion Detection; Border Access Control; Fuzzy Comprehensive Evaluation;

Design and Implementation of a Real-time Intrusion Detection Expert System

The Research for an Improved Dynamic Clonal Selection Algorithm Applied to Intrusion Detection

This thesis begins with studying attacking technology, including introducing the classification of the intrusion detection systems(IDS);

The Design and Implementation of a Sensor part of Network-based Distributed Intrusion Detection System

Study of Equivalence of Similarity Measurement for Intrusion Detection Clustering

Design and Implementation of a Tree-Structured Distributed Intrusion Detection System

Study and Implementation of a Hardware-based System for Immunological Intrusion Detection

Immunology principle and its application investigation in intrusion detection

Vulnerability-scanning technology and its application in intrusion detection system

Implementation of a Multiple Agent-based Technology for Intrusion Detection System

Research and Implementation of a High-Performance Distributed Intrusion Detection System

Study of Distributed Intrusion Detection Architecture

Design and Implementation of a Multi-Agent-Based Technology for Intrusion Detection Systems

Building Intrusion Detection System Models with an Improved Algorithm of Association Rules

A Study of a Distributed Intrusion Detection Model

A Novel Temporal Scenario Recognition Algorithm and Its Application in Intrusion Detection Alert Fusion

Intrusion Detection Architecture Under Specific Application Environment

Investigation of integrated system of distributed intrusion detection with firewall and its implementation

A Improved Algorithm of Chunking Support Vector Clustering and Its Application in Intrusion Detection

An Investigation of a Negative Selection and Clonal for Network Intrusion Detection

Research and Design of a Model Agent- Based Distributed Intrusion Detection System

Improved fuzzy clustering algorithm and its application to intrusion detection

Study of computer network intrusion detection technology

The research of a adaptive framework for data mining based intrusion detection system

Current State and Prospect of the Application of Data Mining Techniques for the Intrusion Detection System

Design of the System for Intelligent Intrusion Detection

Lightweight Agent for Collaborative Distribution Intrusion Detection System

Distributed Intrusion Detection Technology Application in Networked Control System

Research on intrusion detection techniques in information security infrastructures

The Application of an Improved Temporal Algorithm of Association Rules to Intrusion Detection

The Cooperation Mechanism Study of Intrusion Detection System

Study of unsupervised and adaptive intrusion detection system

The design and implementation of a new distributed intrusion detection system

An Improved Algorithm for Pattern Matching and Its Application in Intrusion Detection System

An Efficient Feature Selection Algorithm Toward Building Lightweight Intrusion Detection System

Firewall; Intrusion detection system; Intrusion prevention system; Pattern matching; AC-BM algorithm;

Study of Pattern Matching Algorithms in Intrusion Detection System

The Solving Scheme of Application Bottleneck of a High-speed Network Intrusion Detection System

Design and Implementation of the Online Intrusion Detection Mechanism in Security Database Systems

Design of a new type integrated classifier for network intrusion detection system

Interaction Technology Research with Distributed Firewall and Intrusion Detection System

Design and Implementation of an Intrusion Detection System Using System Call Serial Analysis

Design of an Unsupervised Learning Analyzer in Network Intrusion Detection Systems

The Application of the Data Mining Technology to the System of Intrusion Detection

Firewall with Intrusion Detection System Application in Clothing Business Enterprise's Information Network

Comparison and Analysis of Two Audit Data Reduction Methods for Intrusion Detection System

Research on weighted multi-random decision tree and its application to intrusion detection

Construction of A Safe Campus Network Using Intrusion Detection System to

A Distributed Intrusion Detection System and Its Apperception Ability

Application of a Data Mining Algorithm in Intrusion Detection System

Design and Implementation of a SNMP-based Intrusion Detection System

Realization of a Novel Adaptive Intrusion Detection System

Application of Agglomerate Layered Clustering Arithmetic in Intrusion Detection

A Security Model Integrating Firewall and Intrusion Detection System in Distributed Network Environment

Antibody Generation and Antigen Detection Component in Immune -Based Network Intrusion Detection System

Research of a Hybrid Intrusion Detection System Based on Particle Swarm Optimization and Artificial Immunology

A Study of Architecture for Fusion-Based Intrusion Detection Systems

Communication Mechanism of Distributed Intrusion Detection System

Implementation of the Distributed Intrusion Detection System

Research on credibility and its improved policy for intrusion detection system

Research on a Message Driven Communication Scheme for Distributed Intrusion Detection

The application of BP neural network in intrusion detection system and its optimization

The Principle of Intrusion Detection and Its Application in Network Information System

Research of an Efficient Hash Pattern Tree Algorithm in Network Intrusion Detection

XML-based Intrusion Detection Unified Representation and Secure Transportation

Research of Improved Bayesian Classification Arithmetic in Intrusion Detection

Study and Implementation of a Net-based Intrusion Detection System

Design and Implementation of Distributed Intrusion Detection System for Enterprise Network

Research and Implementation of Alert Correlation in Distributed Intrusion Detection System

Design of a Distributed Intrusion Detection System Model

The Security Study of Mobile Agent Intrusion Detection Systems

Analysis for Application of the Intrusion Detection System in a Library

The Production History and Developing Directions of the Intrusion Detection System

transductive inference; association rule mining; mining spam, newsgroups, blogs; intrusion detection and networks;

Design of an intrusion detection model for detecting distributed attacks

A Time- Window Based Algorithm for Intrusion Detection

Security Architecture and Intrusion Detection Techniques of Wireless Networks

Data generalization and exploration of distributed Intrusion Detection System

Research for Computational Intelligence and Immunology to Intrusion Detection

Kernel nearest neighbor rule and its application in intrusion detection

Application of the Dynamic Clonal Selection Algorithm in Intrusion Detection

Design of a Distributed Intrusion Detection System

Constructing Pattern-Matching Automaton for Intrusion Detection System

Summary About Intelligent Intrusion Detection Technology

An Intrusion Detection Experimental System Using Evolutionary Neural Network

Study on Intrusion Detection in Network Security System and its Application

Study on Multi-Hierarchical Fuzzy Comprehensive Evaluation of Intrusion Detection System

The Negotiation Protocols of Intrusion Detection System in Distributed Environment

Feature Selection Using Multi-Objective Genetic Algorithms for Intrusion Detection

Intrusion Detection Technology and the Analysis of Its frangibility

Research and Implementation of Close Combination of Honeynet Firewall and Intrusion Detection

Survey of the Application Research of Fuzzy Technology to Intrusion Detection Systems

Study of Intrusion Detection System's Testing and Evaluating

Design and Implementation of Distributed Intrusion Detection's Architecture for High-Speed Network

Design and Implement of a New Intrusion Detection and Recovery System

Design of a Distributed Intrusion Detection Model

A Study of Load Balance of Intrusion Detection System in High-speed Networks

Immune Principle and Its Application in Intrusion Detection