Enabling Secure Cross-Modal Retrieval Over Encrypted Heterogeneous IoT Databases With Collective Matrix Factorization

Guo, Cheng; Jia, Jing; Jie, Yingmo; Liu, Charles Zhechao; Choo, Kim‐Kwang Raymond

doi:10.1109/jiot.2020.2964412

Cited by 23 publications

(8 citation statements)

References 30 publications

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“…The Internet of Things (IoT), for example, is an emerging technology that represents an innovative solution allowing the connection of billions of physical devices in the digital world using various networks with heterogeneous objects [3,4]. Thus, data retrieved from the web is tainted with [5] errors and uncertainties and may, therefore, contain contradictions resulting from inherently uncertain processes, such as data integration and / or extraction. These uncertainties arise from different sources, such as minor differences in measurements of physical events or different information provided describing the same entity.…”

Section: Introductionmentioning

confidence: 99%

Information Management under uncertain large-scale cloud environment

OMRI

Omri

Benslimane

et al. 2022

Preprint

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“Uncertainty” is related to working with inaccurate data, imprecise and incomplete information, and unreliable results that can lead to irrational decisions. Several approaches to managing uncertain data on the web have been proposed in the literature to resolve this problem. These approaches have failed to find the solution to this problem with accuracy and performance. Our study aims to propose a new probabilistic approach to manage web information resources in an uncertain large-scale cloud environment. Our approach is based on three main steps: (1) modeling uncertain web resources, (2) computing HTTP request model, and (3) interpretation and evaluation of uncertain web resources in a context of classic hypertext navigation. The experimental study shows that the analysis of the execution time necessary for the composition of the services, by our approach, is negligible, compared to that of the other studied approaches. The algorithm which deals with the impact of the variation in the number of nodes, which we have proposed, has also been evaluated and checks all the possibilities in polynomial time and can adapt to many possibilities of multiplexing of values.

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Section: Introductionmentioning

confidence: 99%

Information Management under uncertain large-scale cloud environment

OMRI

Omri

Benslimane

et al. 2022

Preprint

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“…However, ensuring the security of images-in-transit and images-at-rest is challenging. In order to solve the security problem of private images, symmetric or public-key cryptography encryption images, which needs a key, are often used [1][2][3]. If the key is lost or the encrypted image is damaged, the secret information cannot be recovered.…”

Section: Introductionmentioning

confidence: 99%

“…However, in reality, the threshold value must be adjusted when the security policy or the adversary model changes. Here, we describe three example situations in which (1) the importance of the secret information must be changed, (2) some participants have left or joined the system, and (3) attackers have obtained one or more secret shares.…”

Section: Introductionmentioning

confidence: 99%

A Novel Threshold Changeable Secret Image Sharing Scheme

Wang

et al. 2021

Symmetry

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In secret image sharing, the image is divided into several stego images, which are managed by corresponding participants. The secret image can be recovered only when the number of authorized participants is no less than the threshold. Thus, it is widely used to protect essential images, such as engineering drawings and product design drawings. In the traditional secret image sharing scheme, the threshold is fixed and unique. However, in practice, the security policy and the adversarial structure may change; therefore, the threshold must be adjusted dynamically. In this paper, we propose a novel secret image sharing scheme with a changeable threshold capability. Our scheme eliminates the limit of the changeable threshold and reduces the computation required. Also, our scheme is the first threshold changeable secret image sharing scheme that can recover an undistorted cover image. The theoretical analysis shows that our scheme is safe even if the threshold is changed. The experiments demonstrated that the stego image generated by our algorithm has better quality than other changeable-threshold, secret image sharing algorithms.

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“…The literature of searchable encryption (SE) schemes contains a broad variety of schemes viz., search over multi‐modal data [36 ], ranked search over encrypted data [37 ], search encrypted data in the IIoT [38 ], certificate less SE scheme to provide security against key‐escrow problem [39 ]. However, none of the existing SE schemes supports the delegation of search rights over selected encrypted data using a constant size key.…”

Section: Introductionmentioning

confidence: 99%

P ² KASE A ² —privacy‐preserving key aggregate searchable encryption supporting authentication and access control on multi‐delegation

Padhya

Jinwala

2020

IET Inf. secur

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Enabling Secure Cross-Modal Retrieval Over Encrypted Heterogeneous IoT Databases With Collective Matrix Factorization

Cited by 23 publications

References 30 publications

Information Management under uncertain large-scale cloud environment

Information Management under uncertain large-scale cloud environment

A Novel Threshold Changeable Secret Image Sharing Scheme

P ² KASE A ² —privacy‐preserving key aggregate searchable encryption supporting authentication and access control on multi‐delegation

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Enabling Secure Cross-Modal Retrieval Over Encrypted Heterogeneous IoT Databases With Collective Matrix Factorization

Cited by 23 publications

References 30 publications

Information Management under uncertain large-scale cloud environment

Information Management under uncertain large-scale cloud environment

A Novel Threshold Changeable Secret Image Sharing Scheme

P 2 KASE A 2 —privacy‐preserving key aggregate searchable encryption supporting authentication and access control on multi‐delegation

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Product

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P ² KASE A ² —privacy‐preserving key aggregate searchable encryption supporting authentication and access control on multi‐delegation