Enhancement of an Optimized Key for Database Sanitization to Ensure the Security and Privacy of an Autism Dataset
| Autor: | Suziyani Mohamed, Md. Mokhlesur Rahman, Ravie Chandren Muniyandi, Shahnorbanun Sahran |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Physics and Astronomy (miscellaneous)
Computer science General Mathematics Data security autism spectrum disorder Encryption Computer security computer.software_genre Backup enhanced combined PSO-GWO Computer Science (miscellaneous) QA1-939 Data Protection Act 1998 business.industry Advanced Encryption Standard Information security security and privacy data sanitization Information sensitivity autism dataset Disk encryption Chemistry (miscellaneous) optimized key generation ComputingMilieux_COMPUTERSANDSOCIETY business computer Mathematics |
| Zdroj: | Symmetry; Volume 13; Issue 10; Pages: 1912 Symmetry, Vol 13, Iss 1912, p 1912 (2021) |
| ISSN: | 2073-8994 |
| DOI: | 10.3390/sym13101912 |
| Popis: | Interrupting, altering, or stealing autism-related sensitive data by cyber attackers is a lucrative business which is increasing in prevalence on a daily basis. Enhancing the security and privacy of autism data while adhering to the symmetric encryption concept is a critical challenge in the field of information security. To identify autism perfectly and for its data protection, the security and privacy of these data are pivotal concerns when transmitting information over the Internet. Consequently, researchers utilize software or hardware disk encryption, data backup, Data Encryption Standard (DES), TripleDES, Advanced Encryption Standard (AES), Rivest Cipher 4 (RC4), and others. Moreover, several studies employ k-anonymity and query to address security concerns, but these necessitate a significant amount of time and computational resources. Here, we proposed the sanitization approach for autism data security and privacy. During this sanitization process, sensitive data are concealed, which avoids the leakage of sensitive information. An optimal key was generated based on our improved meta-heuristic algorithmic framework called Enhanced Combined PSO-GWO (Particle Swarm Optimization-Grey Wolf Optimization) framework. Finally, we compared our simulation results with traditional algorithms, and it achieved increased output effectively. Therefore, this finding shows that data security and privacy in autism can be improved by enhancing an optimal key used in the data sanitization process to prevent unauthorized access to and misuse of data. |
| Databáze: | OpenAIRE |
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