Generating Encrypted Document Index Structure Using Tree Browser
The document indexing process aims to store documents in a manner that facilitates the process of retrieving specific documents efficiently in terms of accuracy and time complexity. Many information retrieval systems encounter security issues and execution time to retrieve relevant documents. In ad...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
middle technical university
2023-06-01
|
| Series: | Journal of Techniques |
| Subjects: | |
| Online Access: | https://journal.mtu.edu.iq/index.php/MTU/article/view/948 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832595112878669824 |
|---|---|
| author | Doaa N. Mhawi Haider W. Oleiwi Heba L. Al-Taie |
| author_facet | Doaa N. Mhawi Haider W. Oleiwi Heba L. Al-Taie |
| author_sort | Doaa N. Mhawi |
| collection | DOAJ |
| description |
The document indexing process aims to store documents in a manner that facilitates the process of retrieving specific documents efficiently in terms of accuracy and time complexity. Many information retrieval systems encounter security issues and execution time to retrieve relevant documents. In addition, these systems lead to ample storage. Therefore, it requires combining confidentiality with the indexed document, and a separate process is performed to encrypt the documents. Hence, a new indexing structure named tree browser (TB) was proposed in this paper to be applied to index files of the large document set in an encrypted manner. This method represents the keywords in a variable-length binary format before being stored in the index. This binary format provides additional encryption to the information stored and reduces the index size. The proposed method (TB) is applied to the WebKB dataset. This dataset is related to web page documents (semi-structured documents). The experimental results demonstrated that the storage size is reduced by using TB-tree to 48.5 MB, while the traditional index is 307 MB.
|
| format | Article |
| id | doaj-art-4b04428141624617a996ba3e17d0f7a8 |
| institution | Kabale University |
| issn | 1818-653X 2708-8383 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | middle technical university |
| record_format | Article |
| series | Journal of Techniques |
| spelling | doaj-art-4b04428141624617a996ba3e17d0f7a82025-01-19T11:01:53Zengmiddle technical universityJournal of Techniques1818-653X2708-83832023-06-015210.51173/jt.v5i2.948Generating Encrypted Document Index Structure Using Tree BrowserDoaa N. Mhawi0Haider W. Oleiwi1Heba L. Al-Taie2Technical Institute for Administration, Middle Technical University, Baghdad, IraqBrunel University London, London, Uxbridge, UKInformation and Communication Technologies Center, Ministry of Construction and Housing, Iraq The document indexing process aims to store documents in a manner that facilitates the process of retrieving specific documents efficiently in terms of accuracy and time complexity. Many information retrieval systems encounter security issues and execution time to retrieve relevant documents. In addition, these systems lead to ample storage. Therefore, it requires combining confidentiality with the indexed document, and a separate process is performed to encrypt the documents. Hence, a new indexing structure named tree browser (TB) was proposed in this paper to be applied to index files of the large document set in an encrypted manner. This method represents the keywords in a variable-length binary format before being stored in the index. This binary format provides additional encryption to the information stored and reduces the index size. The proposed method (TB) is applied to the WebKB dataset. This dataset is related to web page documents (semi-structured documents). The experimental results demonstrated that the storage size is reduced by using TB-tree to 48.5 MB, while the traditional index is 307 MB. https://journal.mtu.edu.iq/index.php/MTU/article/view/948B±TreeEncryptionInformation RetrievalInverted IndexTB-Tree |
| spellingShingle | Doaa N. Mhawi Haider W. Oleiwi Heba L. Al-Taie Generating Encrypted Document Index Structure Using Tree Browser Journal of Techniques B±Tree Encryption Information Retrieval Inverted Index TB-Tree |
| title | Generating Encrypted Document Index Structure Using Tree Browser |
| title_full | Generating Encrypted Document Index Structure Using Tree Browser |
| title_fullStr | Generating Encrypted Document Index Structure Using Tree Browser |
| title_full_unstemmed | Generating Encrypted Document Index Structure Using Tree Browser |
| title_short | Generating Encrypted Document Index Structure Using Tree Browser |
| title_sort | generating encrypted document index structure using tree browser |
| topic | B±Tree Encryption Information Retrieval Inverted Index TB-Tree |
| url | https://journal.mtu.edu.iq/index.php/MTU/article/view/948 |
| work_keys_str_mv | AT doaanmhawi generatingencrypteddocumentindexstructureusingtreebrowser AT haiderwoleiwi generatingencrypteddocumentindexstructureusingtreebrowser AT hebalaltaie generatingencrypteddocumentindexstructureusingtreebrowser |