Tracking and repairing damaged healthcare databases using the matrix

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dc.contributor.author Haraty, Ramzi A.
dc.contributor.author Kaddoura, Sanaa
dc.contributor.author Zekri, Ahmed
dc.contributor.author Masud, Mehedi
dc.date.accessioned 2017-02-01T08:35:12Z
dc.date.available 2017-02-01T08:35:12Z
dc.date.copyright 2015 en_US
dc.date.issued 2017-02-01
dc.identifier.issn 1550-1329 en_US
dc.identifier.uri http://hdl.handle.net/10725/5136
dc.description.abstract In a distributed mobile e-health care system, e-health service providers exchange data on the fly in response to user queries without any centralized control. Local databases in e-health service providers might be intercepted during the exchange of data and read by intruders; and malicious transactions may damage data that is highly confidential. In this case any centralized control for securing data cannot be assumed to protect confidential data. Therefore, securing health information from malicious attacks has become a major concern. Although prevention techniques are available, the history of system break-ins guarantees that there is no foolproof technique that totally eliminates security loopholes in a computer system. Hence, efficient damage assessment and recovery techniques are needed. Traditional methods require scanning the entire log from the point of attack to the end which is a slow procedure. In this paper, we present an efficient damage assessment and recovery algorithm to recover the database from malicious transactions. The algorithm is based on data dependency and uses a single matrix. The results of this work prove that our algorithm performs better than the other algorithms in both the damage assessment and the recovery stages. en_US
dc.language.iso en en_US
dc.title Tracking and repairing damaged healthcare databases using the matrix en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.idnumber 199729410 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.relation.journal International Journal of Distributed Sensor Networks en_US
dc.journal.volume 2015 en_US
dc.article.pages 1-8
dc.identifier.doi http://dx.doi.org/10.1155/2015/914305
dc.identifier.ctation Kaddoura, S., Haraty, R. A., Zekri, A., & Masud, M. (2015). Tracking and Repairing Damaged Healthcare Databases Using the Matrix. International Journal of Distributed Sensor Networks, 2015. en_US
dc.author.email rharaty@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://journals.sagepub.com/doi/full/10.1155/2015/914305 en_US
dc.orcid.id https://orcid.org/0000-0002-6978-3627
dc.author.affiliation Lebanese American University en_US

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