Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems

In a data sharing system in a cloud computing environment, such as health care system, peers or data sources execute transactions on-the-fly in response to user queries without any centralized control. In this case confidential data might be intercepted or read by hackers. We cannot consider any cen...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Haraty, Ramzi A. (author)
مؤلفون آخرون: Zbib, Mirna (author), Masud, Mehedi (author)
التنسيق: article
منشور في: 2016
الوصول للمادة أونلاين:http://hdl.handle.net/10725/5127
http://dx.doi.org/10.1007/s12083-015-0361-z
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://link.springer.com/article/10.1007/s12083-015-0361-z
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author Haraty, Ramzi A.
author2 Zbib, Mirna
Masud, Mehedi
author2_role author
author
author_facet Haraty, Ramzi A.
Zbib, Mirna
Masud, Mehedi
author_role author
dc.creator.none.fl_str_mv Haraty, Ramzi A.
Zbib, Mirna
Masud, Mehedi
dc.date.none.fl_str_mv 2016
2017-02-01T07:08:39Z
2017-02-01T07:08:39Z
2017-02-01
dc.identifier.none.fl_str_mv 1936-6442
http://hdl.handle.net/10725/5127
http://dx.doi.org/10.1007/s12083-015-0361-z
Haraty, R. A., Zbib, M., & Masud, M. (2016). Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems. Peer-to-Peer Networking and Applications, 9(5), 812-823.
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://link.springer.com/article/10.1007/s12083-015-0361-z
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv Peer-to-Peer Networking and Applications
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems
dc.type.none.fl_str_mv Article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In a data sharing system in a cloud computing environment, such as health care system, peers or data sources execute transactions on-the-fly in response to user queries without any centralized control. In this case confidential data might be intercepted or read by hackers. We cannot consider any centralized control for securing data since we cannot assume any central third party security infrastructure (e.g., PKI) to protect confidential data in a data sharing system. Securing health information from malicious attacks has become a major concern. However, securing the data from attacks sometimes fail and attackers succeed in inserting malicious data. Hence, this presents a need for fast and efficient damage assessment and recovery algorithms. In this paper, we present an efficient data damage assessment and recovery algorithm to delete malicious transactions and recover affected transactions in a data source in a health care system based on the concept of the matrix. We compare our algorithm with other approaches and show the performance results.
eu_rights_str_mv openAccess
format article
id LAURepo_44dd04db2ddd4301243a0c43e548a9a0
identifier_str_mv 1936-6442
Haraty, R. A., Zbib, M., & Masud, M. (2016). Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems. Peer-to-Peer Networking and Applications, 9(5), 812-823.
language_invalid_str_mv en
network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/5127
publishDate 2016
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spelling Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systemsHaraty, Ramzi A.Zbib, MirnaMasud, MehediIn a data sharing system in a cloud computing environment, such as health care system, peers or data sources execute transactions on-the-fly in response to user queries without any centralized control. In this case confidential data might be intercepted or read by hackers. We cannot consider any centralized control for securing data since we cannot assume any central third party security infrastructure (e.g., PKI) to protect confidential data in a data sharing system. Securing health information from malicious attacks has become a major concern. However, securing the data from attacks sometimes fail and attackers succeed in inserting malicious data. Hence, this presents a need for fast and efficient damage assessment and recovery algorithms. In this paper, we present an efficient data damage assessment and recovery algorithm to delete malicious transactions and recover affected transactions in a data source in a health care system based on the concept of the matrix. We compare our algorithm with other approaches and show the performance results.PublishedN/A2017-02-01T07:08:39Z2017-02-01T07:08:39Z20162017-02-01Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1936-6442http://hdl.handle.net/10725/5127http://dx.doi.org/10.1007/s12083-015-0361-zHaraty, R. A., Zbib, M., & Masud, M. (2016). Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems. Peer-to-Peer Networking and Applications, 9(5), 812-823.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://link.springer.com/article/10.1007/s12083-015-0361-zenPeer-to-Peer Networking and Applicationsinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/51272021-03-19T10:03:18Z
spellingShingle Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems
Haraty, Ramzi A.
status_str publishedVersion
title Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems
title_full Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems
title_fullStr Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems
title_full_unstemmed Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems
title_short Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems
title_sort Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems
url http://hdl.handle.net/10725/5127
http://dx.doi.org/10.1007/s12083-015-0361-z
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://link.springer.com/article/10.1007/s12083-015-0361-z