Detection and prevention of malicious of relational database management systems (RDBMS)

Insider attack is formsthe biggest threat against database management systems. Although many mechanisms have been developed to detect and prevent the misuse activities on the database systems, such as authorized modification on the approved records by the authorized users in malicious intent. Howeve...

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Main Author:	Mohammed Rashad Aldhoqm, Arafat
Format:	Thesis
Language:	English
Published:	2013
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/id/eprint/38181/1/ArafatMohammedRashadMFSKSM2013.pdf
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id	my-utm-ep.38181
record_format	uketd_dc
spelling	my-utm-ep.381812018-04-12T05:41:56Z Detection and prevention of malicious of relational database management systems (RDBMS) 2013-01 Mohammed Rashad Aldhoqm, Arafat QA Mathematics Insider attack is formsthe biggest threat against database management systems. Although many mechanisms have been developed to detect and prevent the misuse activities on the database systems, such as authorized modification on the approved records by the authorized users in malicious intent. However, thesemechanisms still have some limitations in detecting insider attacks. This study proposes a mechanism called dependency mechanism (DM) by utilizing the dependency relationship among database attributes to detect and prevent the authorized modification on approved database records, which have been already used, approved and closed by the system. The proposed mechanism is based on high and low dependency among attributes(columns). These dependencies based on the high and low repetition and usage of the attribute in the database. When the DM recognizes and detects any authorized modification on the approved records, it considers it as a malicious. The results of proposed mechanism DM showed high ability to detect and prevent the malicious modification on the approved records. Flag Based Mechanism (FBM) is considered as a baseline for this study. The evaluation parameter is a detection rate, by which the accuracy of the proposed mechanism is evaluated and compared to the FBM technique. 2013-01 Thesis http://eprints.utm.my/id/eprint/38181/ http://eprints.utm.my/id/eprint/38181/1/ArafatMohammedRashadMFSKSM2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Mohammed Rashad Aldhoqm, Arafat Detection and prevention of malicious of relational database management systems (RDBMS)
description	Insider attack is formsthe biggest threat against database management systems. Although many mechanisms have been developed to detect and prevent the misuse activities on the database systems, such as authorized modification on the approved records by the authorized users in malicious intent. However, thesemechanisms still have some limitations in detecting insider attacks. This study proposes a mechanism called dependency mechanism (DM) by utilizing the dependency relationship among database attributes to detect and prevent the authorized modification on approved database records, which have been already used, approved and closed by the system. The proposed mechanism is based on high and low dependency among attributes(columns). These dependencies based on the high and low repetition and usage of the attribute in the database. When the DM recognizes and detects any authorized modification on the approved records, it considers it as a malicious. The results of proposed mechanism DM showed high ability to detect and prevent the malicious modification on the approved records. Flag Based Mechanism (FBM) is considered as a baseline for this study. The evaluation parameter is a detection rate, by which the accuracy of the proposed mechanism is evaluated and compared to the FBM technique.
format	Thesis
qualification_level	Master's degree
author	Mohammed Rashad Aldhoqm, Arafat
author_facet	Mohammed Rashad Aldhoqm, Arafat
author_sort	Mohammed Rashad Aldhoqm, Arafat
title	Detection and prevention of malicious of relational database management systems (RDBMS)
title_short	Detection and prevention of malicious of relational database management systems (RDBMS)
title_full	Detection and prevention of malicious of relational database management systems (RDBMS)
title_fullStr	Detection and prevention of malicious of relational database management systems (RDBMS)
title_full_unstemmed	Detection and prevention of malicious of relational database management systems (RDBMS)
title_sort	detection and prevention of malicious of relational database management systems (rdbms)
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2013
url	http://eprints.utm.my/id/eprint/38181/1/ArafatMohammedRashadMFSKSM2013.pdf
_version_	1747816524309069824

Detection and prevention of malicious of relational database management systems (RDBMS)

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