Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Guo-sun ZENG"'
Publikováno v:
Tongxin xuebao, Vol 35, Pp 39-49 (2014)
Based on interpersonal trust model in sociology,a trust evaluation model is proposed based on users’ past experience with service provider,friends’ recommendations and third party’s feedback.By combining users’ trust requirement for servi
Externí odkaz:
https://doaj.org/article/ba5a5fa6024c423cb29b3b6a0e167f01
Publikováno v:
Tongxin xuebao, Vol 35, Pp 104-112 (2014)
To improve the encryption efficiency, the online/offline cryptography was extended to ABE and the primitive of attribute-based online/offline encryption (ABOOE) was proposed. The ABOOE non-trivially splited the encryption process into two phases: the
Externí odkaz:
https://doaj.org/article/0a532f545533468eaa70e3a256e9d3e8
Publikováno v:
Tongxin xuebao, Vol 33, Pp 176-181 (2012)
Aimed to resist the infringement of software services in cloud environment,a software services protection security protocol based on software watermarking in cloud environment was presented.On the consideration of actual needs in cloud computing,the
Externí odkaz:
https://doaj.org/article/b321dff33fe84d319554f5cb752bfa79
Autor:
Shun Wang, Guo-sun Zeng
Publikováno v:
Cluster Computing.
Autor:
Chao-Ze Lu, Guo-Sun Zeng
Publikováno v:
IEEE Transactions on Reliability. :1-15
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 28:1429-1453
With the gradual maturity of component oriented software development method, component-based software evolution technology has become hot research in academia and industry. Although many evolution rules are designed, they rarely consider component ty
Publikováno v:
Applied Mechanics and Materials. :5542-5547
Nowadays, customers can freely express shopping thoughts and reviews in e-commerce web sites. It results that people may be lost in the massive shopping reviews and cannot distinguish trusted reviews. This paper carries out a study on the trustworthy
Publikováno v:
Knowledge and Information Systems. 41:423-447
Massive computation power and storage capacity of cloud computing systems allow scientists to deploy data-intensive applications without the infrastructure investment, where large application datasets can be stored in the cloud. Based on the pay-as-y
Publikováno v:
Chinese Journal of Computers. 36:967-976
Publikováno v:
Computer Science and Technology.