dataset
RSS datasetSelecting Features for Intrusion Detection: A Feature Relevance Analysis on KDD 99 Intrusion Detection Datasets
White Paper KDD 99 intrusion detection datasets, which are based on DARPA 98 dataset, provides labeled data for researchers working in the field of intrusion detection and is the only labeled dataset publicly available. [19 Jun 2008]
An Enhanced Support Vector Machine Model for Intrusion Detection
White Paper The new model is evaluated with the KDD dataset and the UNM dataset. Design and implementation of intrusion detection systems remain an important research issue in order to maintain proper net-work security. [19 Jun 2008]
Intrusion Detection by Backpropagation Neural Networks With Sample-Query and Attribute-Query
White Paper The proposed method is tested by a benchmark intrusion dataset to verify its feasibility and effectiveness. The growing network intrusions have put companies and organizations at a much greater risk of loss. [19 Jun 2008]
Performance Comparison of Intrusion Detection System Classifiers Using Various Feature Reduction Techniques
White Paper In order to mitigate this problem, dimension reduction techniques are applied to a given dataset to extract important features. In the proposed research various classifiers are applied to the reduced feature dataset and their performance is compared. [18 Jun 2008]
A Feature Classification Scheme for Network Intrusion Detection
White Paper The experimental results, conducted on DARPA dataset, are intended to statistically highlight the importance of each proposed feature category, as well as to identify some of the most sensitive features to attacks. [18 Jun 2008]
Improved Hybrid Intelligent Intrusion Detection/Prevention System Using AI Technique.
White Paper DARPA dataset is used for training and benchmarking. Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffective. [18 Jun 2008]
Tivoli Workload Scheduler for z/OS Using ETT to enhance ETT and Dataset Triggering
White Paper Tivoli Workload Scheduler for z/OS (TWSz) offers a very robust feature known as Event Trigger Tracking (ETT). ETT is a component of TWSz that waits for a specific event to occur and then adds a TWSz application to the current plan based on that event. [30 Apr 2008]
High-Performance Computing Goes Mainstream in E&P
White Paper The oil and gas industry has used the unique capabilities provided by supercomputing for over three decades, when it took buildings to house the hardware and months to completely iterate through a project's dataset. [03 Apr 2008]
VIZARD II: A Reconfigurable Interactive Volume Rendering System
White Paper Per-sample Phong shading and post-classification is performed in hardware, giving immediate feedback to changes in the visualization of a dataset. This paper presents a reconfigurable, hardware accelerated, volume rendering system for high quality... [28 Feb 2008]
Sending E-Mail From a Mainframe Using SAS in an MVS Environment
White Paper The simple process uses check detail information and e-mail addresses to create an output dataset which is transferred to an SMTP mail server on MVS. Over 75,000 financial aid checks are disbursed to LSU students each year. [19 Feb 2008]
AMD64 Multi-Core Computing Platforms and SolidDB Enable Consolidated Approach to Subscriber Databases and Related Applications
White Paper In the consolidated approach, applications communicate with the dataset via the high bandwidth and low-latency Direct Connect Architecture, to decrease external network traffic and improve efficiency. [14 Feb 2008]
Creating a Local Library
With this utility, the users of the macro do not have to be concerned about whether they have a SAS dataset or catalog with the same name as one created by the macro. SAS provides us with the %local statement to insure that macro variables that are... [09 Jan 2008]
Creating a Local Library
White Paper With this utility, the users of the macro do not have to be concerned about whether they have a SAS dataset or catalog with the same name as one created by the macro. SAS provides us with the %local statement to insure that macro variables that are... [08 Jan 2008]
Hybrid Algorithm for Indoor Positioning Using Wireless LAN
But LF requires an extensive training dataset and cannot adapt well to configuration changes or receiver breakdown. It first formulates the RF propagation loss in a nonlinear, censored regression model and adjusts the regression function to the... [06 Dec 2007]
Hybrid Algorithm for Indoor Positioning Using Wireless LAN
White Paper But LF requires an extensive training dataset and cannot adapt well to configuration changes or receiver breakdown. It first formulates the RF propagation loss in a nonlinear, censored regression model and adjusts the regression function to the... [05 Dec 2007]
