| Title | Trusted Connect Technology of Bioinformatics Authentication Cloud Platform Based on Point Set Topology Transformation Theory |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Wang, L. |
| Conference Name | 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) |
| Date Published | July 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-9874-3 |
| Keywords | authentication, authorisation, Bioinformatics, bioinformatics authentication cloud platform, bioinformatics features, cloud computing, cloud platform, cryptography, digital coding, feature data, Fingerprint recognition, format conversion, Fractals, human factors, pattern recognition technology, Point Set Topology, point set topology transformation theory, policy-based governance, pubcrawl, Public key, resilience, Resiliency, Scalability, topological group transformation, Topology, Trusted Computing, trusted connect technology, trusted credentials, zero knowledge proof technology, zero trust |
| Abstract | The bioinformatics features are collected by pattern recognition technology, and the digital coding and format conversion of the feature data are realized by using the theory of topological group transformation. Authentication and Signature based on Zero Knowledge Proof Technology can be used as the trusted credentials of cloud platform and cannot be forged, thus realizing trusted and secure access. |
| URL | https://ieeexplore.ieee.org/document/9201972 |
| DOI | 10.1109/ICPICS50287.2020.9201972 |
| Citation Key | wang_trusted_2020 |
Trusted Connect Technology of Bioinformatics Authentication Cloud Platform Based on Point Set Topology Transformation Theory