An Efficient Data Analysis Framework for Online Security Processing
Industrial cloud security and internet of things security represent the most important research directions of cyberspace security. Most existing studies on traditional cloud data security analysis were focused on inspecting techniques for block storage data in the cloud. None of them consider the pr...
Saved in:
Main Authors: | Jun Li, Yanzhao Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Computer Networks and Communications |
Online Access: | http://dx.doi.org/10.1155/2021/9290853 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Novel Framework for Secure Data Aggregation in Precision Agriculture with Extensive Energy Efficiency
by: G. S. Nagaraja, et al.
Published: (2023-01-01) -
Efficient and provably secure attribute-based online/offline encryption schemes
by: Hai-ying MA, et al.
Published: (2014-07-01) -
An Online Multisensor Data Fusion Framework for Radar Emitter Classification
by: Dongqing Zhou, et al.
Published: (2016-01-01) -
Efficient secure federated learning aggregation framework based on homomorphic encryption
by: Shengxing YU, et al.
Published: (2023-01-01) -
Method for router online security risk assessment quantification
by: Jun-gang YANG, et al.
Published: (2013-11-01)