| Autor: |
TIAN Jing, DU Yunming, LI Shuai, LIU Yi |
| Jazyk: |
čínština |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Jisuanji kexue yu tansuo, Vol 16, Iss 6, Pp 1327-1333 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1673-9418 |
| DOI: |
10.3778/j.issn.1673-9418.2012037 |
| Popis: |
In order to solve the problem that applicants, publishers and authorized agencies can know the location privacy of each other in the process of task publication of swarm intelligence, based on the homomorphism of Paillier public key cryptosystem, an effective protection algorithm is proposed to guarantee the location privacy of each entity participating in swarm intelligence task. The algorithm achieves the secret matching of task position and response position through homomorphism calculation of the dense environment in which the task position grid unit can participate and publish, so as to realize the group intelligence perception task distribution under the protection of position privacy. Finally, through security analysis, the proposed task distribution method is theoretically analyzed and proven, and the proposed algorithm is experimentally verified by using task distribution in simulated environment. Compared with similar algorithms under the same conditions, the results further clarify the advantages of the proposed algorithm. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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