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Statistical analysis in evaluating STAKCERT infection, activation and payload methods

This paper presents the result of the statistical analysis on relationship between sub features in STAKCERT worm classification. The sub features of the STAKCERT worm classification in this paper were using the statistical analysis to prove the relationship between the sub features. Prior to that, t...

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Main Authors: M.M., Saudi,, A.J., Cullen,, M.E., Woodward,
Format: Conference Paper
Language:en_US
Published: 2015
Subjects:
Activation
Chi-Square
Infection
Payload
Symmetric measure
Online Access:http://ddms.usim.edu.my/handle/123456789/9243
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spelling my.usim-92432015-08-26T03:58:05Z Statistical analysis in evaluating STAKCERT infection, activation and payload methods M.M., Saudi, A.J., Cullen, M.E., Woodward, Activation Chi-Square Infection Payload Symmetric measure This paper presents the result of the statistical analysis on relationship between sub features in STAKCERT worm classification. The sub features of the STAKCERT worm classification in this paper were using the statistical analysis to prove the relationship between the sub features. Prior to that, the static and the dynamic analysis were conducted to identify and prove the association between the main features in STAKCERT worm classification for worm detection. There are limited ways on how the relationship between categorical data can be evaluated and Chi-Square tests and the symmetric measure are seen as the best method to be implemented. The case study presented in this paper explains in details how the Chi-Square tests are used to determine the relationship existed between the sub features and followed by the symmetric measure to quantify the strength of the relationship. This research paper is based on the integration between statistics and computer security field specifically with worm analysis. It can be used as the basis for further exploration in worm detection and isolation study. 2015-08-26T03:58:05Z 2015-08-26T03:58:05Z 2010 Conference Paper 9789-8817-0129-9 http://ddms.usim.edu.my/handle/123456789/9243 en_US
institution Universiti Sains Islam Malaysia
building USIM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universit Sains Islam i Malaysia
content_source USIM Institutional Repository
url_provider http://ddms.usim.edu.my/
language en_US
topic Activation
Chi-Square
Infection
Payload
Symmetric measure
spellingShingle Activation
Chi-Square
Infection
Payload
Symmetric measure
M.M., Saudi,
A.J., Cullen,
M.E., Woodward,
Statistical analysis in evaluating STAKCERT infection, activation and payload methods
description This paper presents the result of the statistical analysis on relationship between sub features in STAKCERT worm classification. The sub features of the STAKCERT worm classification in this paper were using the statistical analysis to prove the relationship between the sub features. Prior to that, the static and the dynamic analysis were conducted to identify and prove the association between the main features in STAKCERT worm classification for worm detection. There are limited ways on how the relationship between categorical data can be evaluated and Chi-Square tests and the symmetric measure are seen as the best method to be implemented. The case study presented in this paper explains in details how the Chi-Square tests are used to determine the relationship existed between the sub features and followed by the symmetric measure to quantify the strength of the relationship. This research paper is based on the integration between statistics and computer security field specifically with worm analysis. It can be used as the basis for further exploration in worm detection and isolation study.
format Conference Paper
author M.M., Saudi,
A.J., Cullen,
M.E., Woodward,
author_facet M.M., Saudi,
A.J., Cullen,
M.E., Woodward,
author_sort M.M., Saudi,
title Statistical analysis in evaluating STAKCERT infection, activation and payload methods
title_short Statistical analysis in evaluating STAKCERT infection, activation and payload methods
title_full Statistical analysis in evaluating STAKCERT infection, activation and payload methods
title_fullStr Statistical analysis in evaluating STAKCERT infection, activation and payload methods
title_full_unstemmed Statistical analysis in evaluating STAKCERT infection, activation and payload methods
title_sort statistical analysis in evaluating stakcert infection, activation and payload methods
publishDate 2015
url http://ddms.usim.edu.my/handle/123456789/9243
_version_ 1645152571066679296
score 13.235796

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