GET THE APP
Data Mining Open Access Journal | Open Access Journals
International Journal of Sensor Networks and Data Communications

International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access
Spanish Chinese Russian German French Japanese Portuguese Hindi Telugu Tamil
Submit Manuscript arrow_forward arrow_forward ..

Data Mining Open Access Journal

Confidentiality preserving data mining (PPDM) is the process of protecting sensitive knowledge from discovery by data mining techniques in the event of data sharing. Confidentiality preserving the frequent extraction of elements (PPFIM) is a sub-task and NP-difficult problem of PPDM. Its objective is to modify a given database so that none of the sensitive sets of the owner of the database can be obtained by a frequent element set exploration technique from the database. modified data. The main challenge of PPFIM is to minimize the distortion given to non-sensitive data and knowledge while cleaning up all the sets of given sensitive elements. Distortion-based sensitive element masking algorithms reduce the handling of each set of sensitive elements below a predefined sensitive threshold thanks to disinfection. Most distortion-based element masking algorithms allow the database owner to define a unique sensitive threshold for each set of sensitive elements. However, this is a limitation for the database owner as the importance of each set of sensitive items varies. In this article, we propose a distortion-based element masking algorithm that allows the database owner to assign several sensitive thresholds, namely the pseudo-graphical cleaning algorithm (IPGBS). The goal of the IPGBS algorithm is to give minimal distortion to non-sensitive knowledge and data while hiding all sets of sensitive elements. For this reason, the IPGBS algorithm modifies the least amount of transaction and transaction content. The performance evaluation of the IPGBS algorithm is performed using two different peers on four different databases.

High Impact List of Articles
Conference Proceedings

Relevant Topics in Engineering

Awards & Nominations

50+ Million Readerbase

Journal Highlights

Google Scholar citation report
Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

Citation image
International Journal of Sensor Networks and Data Communications peer review process verified at publons
Publon image

Indexed In

Related Links

PMC/PubMed Indexed Articles
A Clinical Trial of Translation of Evidence Based Interventions to Mobile Tablets and Illness Specific Internet Sites
 

Open Access Journals

arrow_upward arrow_upward