Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/38917
DC FieldValue
dc.titleData integrity framework and language support for active web intermediaries
dc.contributor.authorChi, C.-H.
dc.contributor.authorYu, X.-Y.
dc.contributor.authorZhang, W.
dc.contributor.authorDing, C.
dc.contributor.authorWong, W.-F.
dc.date.accessioned2013-07-04T07:29:49Z
dc.date.available2013-07-04T07:29:49Z
dc.date.issued2004
dc.identifier.citationChi, C.-H.,Yu, X.-Y.,Zhang, W.,Ding, C.,Wong, W.-F. (2004). Data integrity framework and language support for active web intermediaries. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3293 : 94-105. ScholarBank@NUS Repository.
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/38917
dc.description.abstractWith the maturity of content adaptation technologies (such as I-CAP and OPES) in web intermediaries and of content personalization in the network, data integrity has already become a key concern when such technologies are deployed. To address this issue, we propose a data integrity framework with the following functionalities: (i) a server can specify its authorizations, (ii) active web intermediaries can provide value-added services in accordance with the server's intentions, and more importantly, (iii) a client is facilitated to verify the received message with the server's authorizations and intermediaries' footprints. With the actual implementation of our data integrity framework in web (content and proxy) servers and clients, we show the feasibility and practicability of our proposed design through its low performance overhead and possible data (re)use. © Springer-Verlag 2004.
dc.sourceScopus
dc.subjectContent Adaptation
dc.subjectContent Delivery
dc.subjectData Integrity
dc.subjectWeb Intermediaries
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume3293
dc.description.page94-105
dc.identifier.isiutNOT_IN_WOS
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