Tianli Yang
Biographic Data
| ID | 3927045 |
|---|---|
| NAME | Tianli Yang |
| GIVEN NAMES | Tianli |
| FAMILY NAME | Yang |
| SIGNATURE | YANG T |
| AFFILIATIONS | Renmin University of China |
| ORCID | 0000-0003-4337-1218 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Attack Risk Analysis in Data Anonymization in Internet of Things
An enormous volume of data is generated in the Internet of Things (IoT), which needs to be anonymized before sharing with public or third parties to minimize reidentification risk and protect sensitive information. Data anonymization techniques can remove information capable of identifying individuals. However, inappropriate data anonymization can increase the risk of reidentification. This work focuses on potential attack risks of anonymized dat…
The impact of parental migration on left-behind children’s vision health in rural China
Our findings suggest that parental migration, while not increasing the prevalence of myopia in left-behind children, has led to inequity in myopic left-behind children's correction. Given the severe consequences of uncorrected myopia, action is required to enhance the correction rate of myopic left-behind children
Time's ticking! Effects of deadline on the utilization of health services
No prominent works on this page.
The impact of parental migration on left-behind children’s vision health in rural China
Our findings suggest that parental migration, while not increasing the prevalence of myopia in left-behind children, has led to inequity in myopic left-behind children's correction. Given the severe consequences of uncorrected myopia, action is required to enhance the correction rate of myopic left-behind children
Time's ticking! Effects of deadline on the utilization of health services
Attack Risk Analysis in Data Anonymization in Internet of Things
An enormous volume of data is generated in the Internet of Things (IoT), which needs to be anonymized before sharing with public or third parties to minimize reidentification risk and protect sensitive information. Data anonymization techniques can remove information capable of identifying individuals. However, inappropriate data anonymization can increase the risk of reidentification. This work focuses on potential attack risks of anonymized dat…
Computer Science (2 works) · Environmental health (2 works) · Medicine (2 works) · Nursing (2 works) · Public health (2 works) · Biostatistics (1 work) · Business (1 work) · China (1 work) · Cloud Data Security Solutions (1 work) · Cluster (spacecraft (1 work)