| Autor: |
Kalaiyarasi, D., Leopauline, S., Krishnaveni, S., Vajravelu, Ashok |
| Zdroj: |
International Journal of Electronic Security and Digital Forensics; 2024, Vol. 16 Issue: 3 p317-328, 12p |
| Abstrakt: |
Forensics on the cloud is an addition of forensic research that safeguards against cybercriminals. The development of technologies that use the cloud to store, retrieve, and archive data has resulted in changes to these processes. Our method for monitoring users' information makes use of graph theory-based deep neural networks embedded in smart contracts (GNNSC). Finally, an evidence graph that is built on a blockchain makes it possible to analyse evidence. It is suggested that this Scheme be used to get the most accurate predictions during the process of looking into log data and separating it into normal and strange entries. The VLCS method is used to find the best solution. It is based on a modified cuckoo search algorithm with a variational parameter and a logistic map. The cloud forensics solution methodologies needed to conduct effective investigations are included in the suggested taxonomy. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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