| Title | Re-Encryption Model for Multi-Block Data Updates in Network Security |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | K, Devaki, L, Leena Jenifer |
| Conference Name | 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) |
| Date Published | may |
| Keywords | Advanced Encryption Standards, cloud computing, cloud storage, codes, data centers, Data models, Data visualization, Encryption, human factors, Metrics, Network security, policy-based governance, pubcrawl, re-encryption, Resiliency, revocation, Safe Coding, Update Code Online Data Reconstruction |
| Abstract | Nowadays, online cloud storage networks can be accessed by third parties. Businesses that host large data centers buy or rent storage space from individuals who need to store their data. According to customer needs, data hub operators visualise the data and expose the cloud storage for storing data. Tangibly, the resources may wander around numerous servers. Data resilience is a prior need for all storage methods. For routines in a distributed data center, distributed removable code is appropriate. A safe cloud cache solution, AES-UCODR, is proposed to decrease I/O overheads for multi-block updates in proxy re-encryption systems. Its competence is evaluated using the real-world finance sector. |
| DOI | 10.1109/ICAAIC53929.2022.9793070 |
| Citation Key | k_re-encryption_2022 |
Re-Encryption Model for Multi-Block Data Updates in Network Security