A verifiable threshold secret image sharing (SIS) scheme with combiner verification and cheater identification

AV Soreng, S Kandar - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Image transmission is gaining importance with the advancement of information
communication technology. Transmission of sensitive images in diverse applications like …

A verifiable secret sharing scheme with combiner verification and cheater identification

S Kandar, BC Dhara - Journal of Information Security and Applications, 2020 - Elsevier
In threshold secret sharing (SS) scheme, widely known as (k, n) threshold secret sharing, a
secret S is divided into n shares and distributed to participants by a dealer in such a way that …

Verifiable varying sized (m, n, n) multi-image secret sharing with combiner verification and cheater identification

AV Soreng, S Kandar - Journal of Visual Communication and Image …, 2022 - Elsevier
In conventional multi-image secret sharing schemes (MISSS) images are shared by the
trusted dealer and the shares are sent to the set of participants through a secure channel …

Cloud-elgamal and fast cloud-RSA homomorphic schemes for protecting data confidentiality in cloud computing

K El Makkaoui, A Beni-Hssane… - International Journal of …, 2019 - igi-global.com
Homomorphic encryption (HE) is an encryption form that offers a third-party with the ability to
carry out computations on encrypted data. This property can be considered as a great …

Verifiable Privacy Preservation Scheme for Outsourcing Medi-cal Image to Cloud Through ROI Based Crypto-Watermarking

C Zhou, Y Zhou, XH An, Y Liu… - … on Internet of Things …, 2023 - ieeexplore.ieee.org
A novel verifiable privacy preservation scheme for outsourcing medical image to cloud
through ROI based crypto-watermarking is proposed in the paper. In the proposed scheme …

Privacy-Preserving Collaborative Deep Learning Using Verifiable Multi-Secret Sharing Scheme

WS Lestari, R Purba, A Halim… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Collaborative deep learning is an approach used to handle the amount of training data
needed to build a better deep learning model. In collaborative deep learning, the central …