scholarly journals A Study on Secure Query Processing Technique for Efficient XML Resource Access

2017 ◽  
Vol 12 (4) ◽  
pp. 521-527
Author(s):  
조선문 ◽  
최원근
2019 ◽  
Vol 13 (2) ◽  
pp. 14-31
Author(s):  
Mamdouh Alenezi ◽  
Muhammad Usama ◽  
Khaled Almustafa ◽  
Waheed Iqbal ◽  
Muhammad Ali Raza ◽  
...  

NoSQL-based databases are attractive to store and manage big data mainly due to high scalability and data modeling flexibility. However, security in NoSQL-based databases is weak which raises concerns for users. Specifically, security of data at rest is a high concern for the users deployed their NoSQL-based solutions on the cloud because unauthorized access to the servers will expose the data easily. There have been some efforts to enable encryption for data at rest for NoSQL databases. However, existing solutions do not support secure query processing, and data communication over the Internet and performance of the proposed solutions are also not good. In this article, the authors address NoSQL data at rest security concern by introducing a system which is capable to dynamically encrypt/decrypt data, support secure query processing, and seamlessly integrate with any NoSQL- based database. The proposed solution is based on a combination of chaotic encryption and Order Preserving Encryption (OPE). The experimental evaluation showed excellent results when integrated the solution with MongoDB and compared with the state-of-the-art existing work.


2020 ◽  
Vol 3 (2) ◽  
pp. 97-111
Author(s):  
Xingliang Yuan ◽  
Chengjun Cai ◽  
Cong Wang ◽  
Qian Wang

Author(s):  
Sung-Hee Kim ◽  
Chi-Young Yoo ◽  
Young-Geol Lee ◽  
Jong-Hoon Kim ◽  
Jae-Dong Lee ◽  
...  

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
H. Balaji ◽  
A. Govardhan

Data extraction (IE) is the task of removing sorted out information from unstructured semi composed machine clear reports. In a huge part of cases this development concerns taking care of human vernacular messages by system for trademark tongue planning. Information extraction has not got as much thought as information retrieval (IR) and is routinely baffled with the later. The task of IR is to look over a get-together of artistic reports, a subset which is pertinent to a particular request, considering essential word chase and possibly extended by the use of a thesaurus. The IR gets ready conventionally and gives back a situated once-over of documents, where the rank contrasts with the relevance score that the structure assigned to the chronicle in light of the request. This paper proposes double handling data extraction technique (DPIE), where backward classification is used with normal pre-processing technique. These are data processing and query processing. This system gives better results when contrasted with existing rules.


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