A Robust Damage Assessment for Corrupted Database Systems Based on Inter-Transaction Dependencies

An intrusion tolerant database uses damage assessment techniques to detect damage propagation scales in a corrupted database system. Traditional damage assessment approaches in a intrusion tolerant database system can only locate damages which are caused by reading corrupted data. In fact, there are...

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Main Authors: FU, Ge, ZHU, Hong, LI, Yingjiu
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/303
http://dx.doi.org/10.1007/978-3-642-10772-6_18
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-13022010-09-24T05:42:03Z A Robust Damage Assessment for Corrupted Database Systems Based on Inter-Transaction Dependencies FU, Ge ZHU, Hong LI, Yingjiu An intrusion tolerant database uses damage assessment techniques to detect damage propagation scales in a corrupted database system. Traditional damage assessment approaches in a intrusion tolerant database system can only locate damages which are caused by reading corrupted data. In fact, there are many other damage spreading patterns that have not been considered in traditional damage assessment model. In this paper, we systematically analyze inter-transaction dependency relationships that have been neglected in the previous research and propose four different dependency relationships between transactions which may cause damage propagation. We extend existing damage assessment model based on the four novel dependency relationships. The essential properties of our model is also discussed. 2009-12-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/303 info:doi/10.1007/978-3-642-10772-6_18 http://dx.doi.org/10.1007/978-3-642-10772-6_18 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Data integrity damage assessment database recovery Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Data integrity
damage assessment
database recovery
Information Security
spellingShingle Data integrity
damage assessment
database recovery
Information Security
FU, Ge
ZHU, Hong
LI, Yingjiu
A Robust Damage Assessment for Corrupted Database Systems Based on Inter-Transaction Dependencies
description An intrusion tolerant database uses damage assessment techniques to detect damage propagation scales in a corrupted database system. Traditional damage assessment approaches in a intrusion tolerant database system can only locate damages which are caused by reading corrupted data. In fact, there are many other damage spreading patterns that have not been considered in traditional damage assessment model. In this paper, we systematically analyze inter-transaction dependency relationships that have been neglected in the previous research and propose four different dependency relationships between transactions which may cause damage propagation. We extend existing damage assessment model based on the four novel dependency relationships. The essential properties of our model is also discussed.
format text
author FU, Ge
ZHU, Hong
LI, Yingjiu
author_facet FU, Ge
ZHU, Hong
LI, Yingjiu
author_sort FU, Ge
title A Robust Damage Assessment for Corrupted Database Systems Based on Inter-Transaction Dependencies
title_short A Robust Damage Assessment for Corrupted Database Systems Based on Inter-Transaction Dependencies
title_full A Robust Damage Assessment for Corrupted Database Systems Based on Inter-Transaction Dependencies
title_fullStr A Robust Damage Assessment for Corrupted Database Systems Based on Inter-Transaction Dependencies
title_full_unstemmed A Robust Damage Assessment for Corrupted Database Systems Based on Inter-Transaction Dependencies
title_sort robust damage assessment for corrupted database systems based on inter-transaction dependencies
publisher Institutional Knowledge at Singapore Management University
publishDate 2009
url https://ink.library.smu.edu.sg/sis_research/303
http://dx.doi.org/10.1007/978-3-642-10772-6_18
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