Mostrando ítems 1-2 de 2

Application of feast (Feature Selection Toolbox) in ids (Intrusion detection Systems)

Mendoza Palechor, Fabio Enrique; De La Hoz Correa, Eduardo Miguel; De La Hoz Manotas, Alexis Kevin (Journal of Theoretical and Applied Information Technology, 2014-12-31)

Security in computer networks has become a critical point for many organizations, but keeping data integrity demands time and large economic investments, in consequence there has been several solution approaches between ...
Association rules implementation for affinity analysis between elements composing multimedia objects

Mendoza Palechor, Fabio; Carrascal Oviedo, Ana; De la Hoz, Emiro (Journal of Theoretical and Applied Information Technology, 2019-03-31)

The multimedia objects are a constantly growing resource in the world wide web, consequently it has generated as a necessity the design of methods and tools that allow to obtain new knowledge from the information analyzed. ...

Envíos recientes

Application of feast (Feature Selection Toolbox) in ids (Intrusion detection Systems)
...
Mendoza Palechor, Fabio Enrique | 2014-12-31

Security in computer networks has become a critical point for many organizations, but keeping data integrity demands time and large economic investments, in consequence there has been several solution approaches between hardware and software but sometimes these has become inefficient for attacks detection. This paper presents research results obtained implementing algorithms from FEAST, a Matlab Toolbox with the purpose of selecting the method with better precision results for different attacks detection using the least number of features. The Data Set NSL-KDD was taken as reference. The Relief method obtained the best precision levels for attack detection: 86.20%(NORMAL), 85.71% (DOS), 88.42% (PROBE), 93.11%(U2R), 90.07(R2L), which makes it a promising technique for features selection in data network intrusions.

LEER
Association rules implementation for affinity analysis between elements composing multimedia objects
...
Mendoza Palechor, Fabio | 2019-03-31

The multimedia objects are a constantly growing resource in the world wide web, consequently it has generated as a necessity the design of methods and tools that allow to obtain new knowledge from the information analyzed. Association rules are a technique of Data Mining, whose purpose is to search for correlations between elements of a collection of data (data) as support for decision making from the identification and analysis of these correlations. Using algorithms such as: A priori, Frequent Parent Growth, QFP Algorithm, CBA, CMAR, CPAR, among others. On the other hand, multimedia applications today require the processing of unstructured data provided by multimedia objects, which are made up of text, images, audio and videos. For the storage, processing and management of multimedia objects, solutions have been generated that allow efficient search of data of interest to the end user, considering that the semantics of a multimedia object must be expressed by all the elements that composed of. In this article an analysis of the state of the art in relation to the implementation of the Association Rules in the processing of Multimedia objects is made, in addition the analysis of the consulted literature allows to generate questions about the possibility of generating a method of association rules for the analysis of these objects.

LEER

ListarArtículos científicos por tema "Data-Set"

Application of feast (Feature Selection Toolbox) in ids (Intrusion detection Systems) ﻿

Association rules implementation for affinity analysis between elements composing multimedia objects ﻿

Envíos recientes

Application of feast (Feature Selection Toolbox) in ids (Intrusion detection Systems)

Association rules implementation for affinity analysis between elements composing multimedia objects

Application of feast (Feature Selection Toolbox) in ids (Intrusion detection Systems)

Association rules implementation for affinity analysis between elements composing multimedia objects