Improved Centralized XML Query Processing Using Distributed Query Workload

Subramaniam, Samini; Haw, Su-Cheng; Soon, Lay-Ki

doi:10.1109/access.2021.3058383

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…Servers that are not absolutely secure present great challenges to the traditional protection method. erefore, we still need to find good privacy-preserving schemes and research good search algorithms for XML documents in a shared and collaborative environment [10,19].…”

Section: Discussionmentioning

confidence: 99%

An XML Privacy-Preserving Data Disclosure Decision Scheme

Guo

2022

Security and Communication Networks

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In order to protect the sensitive data represented as XML documents in a trusted collaborative system where sensitive data are not shared, an XML privacy-preserving data disclosure decision scheme was proposed under the assumption of a trusted server. This scheme is inspired by the idea of separating storage structure and content. Temporary access matrix is used to represent structure authorization and the vector represents the content authorization of leaf node. According to the conversion rules, access matrix not only represents access authorization of all nodes but also keeps the main structure of the XML document. With the combination of the vector and matrix, it can provide different access views for different group users with different purposes. In addition, start-end encoding is used to encode all the nodes for locating nodes and the content; privilege matrix solves the problem of privacy synchronization change for all users. At the same time, authentication polynomials are used to verify different users and improve the security level. The experimental results show that the scheme not only effectively protects XML sensitive data but also reduces the storage pressure on the server side; at the same time, from the response time, we know that it is beneficial for the rapid search and information positioning.

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Section: Discussionmentioning

confidence: 99%

An XML Privacy-Preserving Data Disclosure Decision Scheme

Guo

2022

Security and Communication Networks

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“…The DBLP dataset is selected based on two main reaons: (1) the depth of the dataset should be at least three level in order to test for the A-D relationship, and (2) the dataset should contains attributes in order to demonstrate the query retrieval with attribute as the constraints. In terms of query, there are two classes of queries, namely path query (simple query) and twig query (complex query with branching nodes) [27]. In the first section of evaluation, data storing, the XML document is mapped and transformed into RDB storage.…”

Section: Experimental Evaluationmentioning

confidence: 99%

Transforming data-centric eXtensible markup language into relational databases using hybrid approach

Haw

Song

2021

Bulletin EEI

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eXtensible markup language (XML) appeared internationally as the format for data representation over the web. Yet, most organizations are still utilising relational databases as their database solutions. As such, it is crucial to provide seamless integration via effective transformation between these database infrastructures. In this paper, we propose XML-REG to bridge these two technologies based on node-based and path-based approaches. The node-based approach is good to annotate each positional node uniquely, while the path-based approach provides summarised path information to join the nodes. On top of that, a new range labelling is also proposed to annotate nodes uniquely by ensuring the structural relationships are maintained between nodes. If a new node is to be added to the document, re-labelling is not required as the new label will be assigned to the node via the new proposed labelling scheme. Experimental evaluations indicated that the performance of XML-REG exceeded XMap, XRecursive, XAncestor and Mini-XML concerning storing time, query retrieval time and scalability. This research produces a core framework for XML to relational databases (RDB) mapping, which could be adopted in various industries.

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