| Title | A Safe Approach to Sensitive Dropout Data Collection Systems by Utilizing Homomorphic Encryption |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Suwandi, Rifki, Wuryandari, Aciek Ida |
| Conference Name | 2022 International Symposium on Information Technology and Digital Innovation (ISITDI) |
| Date Published | jul |
| Keywords | Computer hacking, Data collection, data leakage, data privacy, Databases, Dropout, homomorphic encryption, Human Behavior, human factors, Manuals, Metrics, pubcrawl, resilience, Resiliency, Scalability, sensitive data, Technological innovation |
| Abstract | The student's fault is not the only cause of dropping out of school. Often, cases of dropping out of school are only associated with too general problems. However, sensitive issues that can be detrimental to certain parties in this regard, such as the institution's reputation, are usually not made public. To overcome this, an in-depth analysis of these cases is needed for proper handling. Many risks are associated with creating a single repository for this sensitive information. Therefore, some encryption is required to ensure data is not leaked. However, encryption at rest and in transit is insufficient as data leakage is a considerable risk during processing. In addition, there is also a risk of abuse of authority by insiders so that no single entity is allowed to have access to all data. Homomorphic encryption presents a viable solution to this challenge. Data may be aggregated under the security provided by Homomorphic Encryption. This method makes the data available for computation without being decrypted first and without paying the risk of having a single repository. |
| DOI | 10.1109/ISITDI55734.2022.9944464 |
| Citation Key | suwandi_safe_2022 |
A Safe Approach to Sensitive Dropout Data Collection Systems by Utilizing Homomorphic Encryption