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2021 IEEE Transactions on Industrial Informatics  
Yi 5335 Secure and Verifiable Multikey Image Search in Cloud-Assisted Edge Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Hwang 5552 Age-of-Information Aware Scheduling for Edge-Assisted Industrial Wireless Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tii.2021.3074236 fatcat:ecg3x7fxpjhctcugcpysidoy2u

Building In-the-Cloud Network Functions: Security and Privacy Challenges

Peipei Jiang, Qian Wang, Muqi Huang, Cong Wang, Qi Li, Chao Shen, Kui Ren
2021 Proceedings of the IEEE  
The article surveys the state-of-the-art literature on network function outsourcing, with a special focus on privacy and security issues.  ...  We first give a brief introduction to NFV and pinpoint its challenges and security risks in the cloud context.  ...  Hence, Hulu would like to keep their data encrypted in the edge servers, while the CDN in the cloud can still eliminate redundant network traffic, distribute the video contents, and so on. III.  ... 
doi:10.1109/jproc.2021.3127277 fatcat:getxjhn3s5eyllg6nxnpzsgrmq

An Empirical Study of the Technology Transfer Potential of EU Security and Trust R&D Projects [chapter]

Martina de Gramatica, Fabio Massacci, Olga Gadyatskaya
2014 Communications in Computer and Information Science  
This paper presents only the authors' point of view, and does not reflect the opinion of the EC.  ...  The work leading to this report was supported by the EU under the FP7 ICT EFFECTS+ and SECCORD projects.  ...  secure computations on these in the cloud.  ... 
doi:10.1007/978-3-319-12574-9_14 fatcat:wbh33s23cna7rnozpcqsbgp5ym

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

Sijie Yang, Fei Zhu, Xinghong Ling, Quan Liu, Peiyao Zhao
2021 Frontiers in Genetics  
The applications of deep learning in medical image, electronic health record, genomics, and drug development are studied, where the suggestion is that deep learning has obvious advantage in making full  ...  However, the problems and challenges of deep learning in computational medical health still exist, including insufficient data, interpretability, data privacy, and heterogeneity.  ...  AUTHOR CONTRIBUTIONS XL conceived and designed the survey. SY analyzed the data and contributed reagents, materials, and analysis tools. All authors wrote the manuscript.  ... 
doi:10.3389/fgene.2021.607471 pmid:33912213 pmcid:PMC8075004 fatcat:f4kaii7egjff3dxiuzyp3puawq