Výsledky vyhledávání - "Witcha chimphlee"

Machine learning to improve the performance of anomalybased network intrusion detection in big data

Autor: Siriporn Chimphlee, Witcha Chimphlee

With the rapid growth of digital technology communications are overwhelmed by network data traffic. The demand for the internet is growing every day in today's cyber world, raising concerns about network security. Big Data are a term that describes a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc1866156fc42bebe59f373ed6b747e3
https://zenodo.org/record/7972350

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Intrusion Detection through Rule Induction Analysis

Autor: Kiattisak Maichalernnukul, Surasit Songma, Parinya Sanguansat, Witcha Chimphlee

Publikováno v: INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 5:187-194

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e2bcc114603114594f0a828f0dfd8cc5
https://doi.org/10.4156/aiss.vol5.issue11.23

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Classification via k-means clustering and distance-based outlier detection

Autor: Witcha Chimphlee, Kiattisak Maichalernnukul, Surasit Songma, Parinya Sanguansat

Publikováno v: 2012 Tenth International Conference on ICT and Knowledge Engineering.

We propose a two-phase classification method. Specifically, in the first phase, a set of patterns (data) are clustered by the k-means algorithm. In the second phase, outliers are constructed by a distance-based technique and a class label is assigned

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5e2c09d8f31f768d7632ece9a796878a
https://doi.org/10.1109/ictke.2012.6408540

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A Novel Method for Unsupervised Anomaly Detection Using Unlabelled Data

Autor: Witcha Chimphlee, Dahliyusmanto Dahlan, K. bin Abu Bak, Abdul Hanan Abdullah, M.A. bin Ngadi, A.S. bin Haji Ismail

Publikováno v: ICCSA Workshops

Most current intrusion detection methods cannot process large amounts of audit data for real-time operation. In this paper, anomaly network intrusion detection method based on principal component analysis (PCA) for data reduction and fuzzy adaptive r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1b2137f76a78cd8a0ecef2edb3e1bf5a
https://doi.org/10.1109/iccsa.2008.70

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Using Association Rules and Markov Model for Predit Next Access on Web Usage Mining

Autor: Witcha Chimphlee, Siriporn Chimphlee, Naomie Salim, Mohd Salihin Bin Ngadiman

Publikováno v: Advances in Systems, Computing Sciences and Software Engineering ISBN: 9781402052620

Predicting the next request of a user as visits Web pages has gained importance as Web-based activity increases. A large amount of research has been done on trying to predict correctly the pages a user will request. This task requires the development

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7dfff2a30644c0ef5b56c0ccdb4dae58
https://doi.org/10.1007/1-4020-5263-4_58

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Network Anomaly Detection using Soft Computing

Autor: Srinoy, Surat, Werasak Kurutach, Witcha Chimphlee, Siriporn Chimphlee

One main drawback of intrusion detection system is the inability of detecting new attacks which do not have known signatures. In this paper we discuss an intrusion detection method that proposes independent component analysis (ICA) based feature sele

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e361cfccf37dea45f8dd51192dfad14

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Unsupervised Clustering Methods For Identifying Rare Events In Anomaly Detection

Autor: Witcha Chimphlee, Abdul Hanan Abdullah, Mohd Noor Md Sap, Siriporn Chimphlee, Surat Srinoy

It is important problems to increase the detection rates and reduce false positive rates in Intrusion Detection System (IDS). Although preventative techniques such as access control and authentication attempt to prevent intruders, these can fail, and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::442c56b90a57befe786d0537f99bd06f

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Integrating Genetic Algorithms and Fuzzy c-Means for Anomaly Detection

Autor: Witcha Chimphlee, Siriporn Chimphlee, M. Noor Md Sap, Abdul Hanan Abdullah, Surat Srinoy

Publikováno v: 2005 Annual IEEE India Conference - Indicon.

The goal of intrusion detection is to discover unauthorized use of computer systems. New intrusion types, of which detection systems are unaware, are the most difficult to detect. The amount of available network audit data instances is usually large;

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::163bb82d2d181c9b31c29d7a0ed6d42b
https://doi.org/10.1109/indcon.2005.1590237

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