data mining intrusion
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Adaptive Model Generation for Intrusion Detection Systems
White Paper This paper presents adaptive model generation, a method for automatically building detection models for data-mining based intrusion detection systems. Using the same data collected by intrusion detection sensors, adaptive model generation builds... [10 Jul 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 techniques in data mining are useful for a wide variety of real time applications... [10 Jul 2008]
Data Mining Approaches for Intrusion Detection in Email System Internet-Based
White Paper The main ideas are to use data mining techniques to discover consistent and useful patterns of email system that can recognize anomalies and known intrusions. This paper presents the research in developing general method for intrusion detection in... [10 Jul 2008]
Clustering-Based Network Intrusion Detection
White Paper Off late data mining methods have gained importance in addressing network security issues, including network intrusion detection - a challenging task in network security. Classification-based data mining models for intrusion detection are of-ten... [10 Jul 2008]
Data Mining Techniques for Intrusion Detection
White Paper This paper describes various data mining techniques that can be used to handle different kinds of network attacks. It presents a model that combines specialized Intrusion Detection Systems (IDS). The approach is dynamic in the sense that the model... [10 Jul 2008]
Data Mining Methods for Network Intrusion Detection
White Paper This paper propose that the solution to this problem is the application of an ensemble of data mining techniques which can be applied to network connection data in an offline environment, augmenting existing real-time sensors. [10 Jul 2008]
Randomly Roving Agents for Intrusion Detection
White Paper The most common form of agent is the DMA (Data Mining Agent), which randomly moves around the network and collects information. The DMA then relays the information it has gathered to a DFA (Data Fusion Agent) which assesses the likelihood of... [10 Jul 2008]
A Framework for an Adaptive Intrusion Detection System With Data Mining
White Paper Data mining methods have been used to build automatic intrusion detection systems based on anomaly detection. The goal is to characterize the normal system activities with a profile by applying mining algorithms to audit data so that abnormal... [09 Jul 2008]
An Adaptive Intrusion Detection System Using a Data Mining Approach
White Paper An adaptive Intrusion detection system was proposed to keep track of the varying data dependencies as and when the definitions for various access roles are changed. Weak data dependencies in large databases coupled with poorly written web based... [03 Jul 2008]
Intrusion Detection Using Data Mining Along Fuzzy Logic and Genetic Algorithms
White Paper The work discussed in this paper has explored the possibility of integrating the fuzzy logic with Data Mining methods using Genetic Algorithms for intrusion detection. An architecture for Intrusion Detection methods has been proposed by using Data... [19 Jun 2008]
The MINDS - Minnesota Intrusion Detection System
White Paper 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... [18 Jun 2008]
Data Mining Techniques for (Network) Intrusion Detection Systems
White Paper This paper mostly focused on data mining techniques that are being used for such purposes. Finally the paper presents a new idea on how data mining can aid IDSs. In Information Security, intrusion detection is the act of detecting actions that... [18 Jun 2008]
Real Time Data Mining-Based Intrusion Detection
White Paper This paper presents an overview of the research in real time data mining-based Intrusion Detection Systems (IDSs). To improve accuracy, data mining programs are used to analyze audit data and extract features that can distinguish normal activities... [18 Jun 2008]
Network Intrusion Detection Using Random Forests
White Paper Since data mining techniques can build intrusion detection models adaptively, data mining-based NIDSs have significant advantages over rule-based NIDSs. Therefore, one of the efficient data mining algorithms called random forests for network... [18 Jun 2008]
Improved Hybrid Intelligent Intrusion Detection/Prevention System Using AI Technique.
White Paper The techniques that are being investigated include fuzzy logic with network profiling, which uses simple data mining techniques to process the network data. Intrusion Detection Systems are increasingly a key part of systems defense. [18 Jun 2008]
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