栖息地
发表于 2025-3-23 12:13:12
Compressive Sensing,ue of the sparsity, a signal, which is randomly projected at the encoder side, can be reconstructed by searching the optimal solution of an under determined linear system at the decoder side. In information security field, the CS can be utilized for multimedia data security, cloud computing security, internet of things (IoT) security, etc.
珍奇
发表于 2025-3-23 16:13:05
Cloud Computing Security,orated since the cloud is often not fully trusted. In this chapter, we design two CS reconstruction outsourcing mechanisms in multi-clouds, which are sparse reconstruction service and sparse robustness decoding service, respectively. It is shown that these two mechanisms are secure, efficient, and feasible.
verdict
发表于 2025-3-23 20:00:11
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cogent
发表于 2025-3-24 01:32:50
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ASSAY
发表于 2025-3-24 04:04:28
Compressive Sensing,ssion can be performed simultaneously to reduce the sampling rate at the expense of a high computation complexity at the reconstruction stage. By virtue of the sparsity, a signal, which is randomly projected at the encoder side, can be reconstructed by searching the optimal solution of an under dete
要素
发表于 2025-3-24 08:04:13
Multimedia Data Security,e of CS is that it can reduce the redundancy. Thus, CS is a new popular encryption technique used for multimedia data encryption. This chapter aims to design secure and efficient multimedia data encryption algorithms based on CS. Firstly, combining chaos theory and optical transform, which are two c
separate
发表于 2025-3-24 13:12:56
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Eulogy
发表于 2025-3-24 14:51:51
Internet of Things Security,mainly on the security aspects. A low-cost and confidentiality-preserving data acquisition framework in IoT based on chaotic convolution and random subsampling is firstly proposed. Chaotic encryption ensures the security of sampling process. The sampled images are assembled into a big master image,
有斑点
发表于 2025-3-24 20:19:41
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chastise
发表于 2025-3-25 01:17:00
Book 2019veral particular frameworks including parallel CS, involvement of image processing techniques, and double protection mechanism. It also describes the applications of CS in cloud computing security and IoT security, i.e., privacy-preserving reconstruction in cloud computing and secure low-cost sampling in IoT, respectively.