An improved differential privacy algorithm to protect re-identification of data
| Title | An improved differential privacy algorithm to protect re-identification of data |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Zaman, A. N. K., Obimbo, C., Dara, R. A. |
| Conference Name | 2017 IEEE Canada International Humanitarian Technology Conference (IHTC) |
| Keywords | Algorithm design and analysis, Collaboration, compositionality, credible information, customer service, data custodians, data donors, data mining, data privacy, data repositories, Data Sanitization, data sanitization algorithm, data set, data sharing, decision-making systems, healthcare organizations, Human Behavior, human factors, improved differential privacy algorithm, machine learning algorithms, Medical services, mining trends, Partitioning algorithms, policy, privacy, pubcrawl, Publishing, re-identification risk, Resiliency, sanitized data, two-layer privacy, ε-differential privacy |
| Abstract | In the present time, there has been a huge increase in large data repositories by corporations, governments, and healthcare organizations. These repositories provide opportunities to design/improve decision-making systems by mining trends and patterns from the data set (that can provide credible information) to improve customer service (e.g., in healthcare). As a result, while data sharing is essential, it is an obligation to maintaining the privacy of the data donors as data custodians have legal and ethical responsibilities to secure confidentiality. This research proposes a 2-layer privacy preserving (2-LPP) data sanitization algorithm that satisfies e-differential privacy for publishing sanitized data. The proposed algorithm also reduces the re-identification risk of the sanitized data. The proposed algorithm has been implemented, and tested with two different data sets. Compared to other existing works, the results obtained from the proposed algorithm show promising performance. |
| URL | http://ieeexplore.ieee.org/document/8058174/ |
| DOI | 10.1109/IHTC.2017.8058174 |
| Citation Key | zaman_improved_2017 |
- Human behavior
- ε-differential privacy
- two-layer privacy
- sanitized data
- Resiliency
- re-identification risk
- Publishing
- pubcrawl
- privacy
- Policy
- Partitioning algorithms
- mining trends
- Medical services
- machine learning algorithms
- improved differential privacy algorithm
- Human Factors
- Algorithm design and analysis
- healthcare organizations
- decision-making systems
- data sharing
- data set
- data sanitization algorithm
- Data Sanitization
- data repositories
- data privacy
- Data mining
- data donors
- data custodians
- customer service
- credible information
- Compositionality
- collaboration