Results 41 to 50 of about 3,496 (169)

Exact Homomorphic Encryption

open access: yesCoRR
Inspired by the concept of fault tolerance quantum computation, this article proposes a framework dubbed Exact Homomorphic Encryption, EHE, enabling exact computations on encrypted data without the need for pre-decryption. The introduction of quantum gates is a critical step for constructing the message encryption and the computation encryption within ...
Zheng-Yao Su, Ming-Chung Tsai
openaire   +2 more sources

A quantum approach to homomorphic encryption [PDF]

open access: yesScientific Reports, 2016
AbstractEncryption schemes often derive their power from the properties of the underlying algebra on the symbols used. Inspired by group theoretic tools, we use the centralizer of a subgroup of operations to present a private-key quantum homomorphic encryption scheme that enables a broad class of quantum computation on encrypted data.
Tan, S.H.   +4 more
openaire   +4 more sources

A Lightweight and Erudite Automated BiLSTM‐Based Multi‐Cycle GAN for Retinal Blood Vessel and Optic Disc Segmentation in Fundus Images

open access: yesEngineering Reports, Volume 8, Issue 8, August 2026.
This graphical abstract presents a lightweight and automated BiLSTM‐based Multi‐Cycle GAN framework for retinal blood vessel and optic disc segmentation in fundus images. Initially, fundus images undergo preprocessing, including green channel extraction, denoising, resizing, and dataset splitting.
Rasmita Kumari Mohanty   +7 more
wiley   +1 more source

HOMOMORPHIC ENCRYPTION: CLOUD COMPUTING SECURITY AND OTHER APPLICATIONS (A SURVEY)

open access: yesInformatika, 2016
Homomorphic encryption is a form of encryption which allows specific types of computations to be carried out on cipher text and to obtain an encrypted result which matches the result of operations performed on the plain text. The article presents a basic
A. I. Trubei
doaj  

Revocable and Traceable Data Sharing and Encryption Methods in Cloud Computing Environments

open access: yesEngineering Reports, Volume 8, Issue 7, July 2026.
This paper proposes a revocable, traceable cloud data sharing scheme. It enhances multi‐authority attribute‐based encryption for fine‐grained access with immediate user revocation and precise leak tracking. Evaluations on a manufacturing platform show efficient performance, handling 1 GB files with re‐encryption under 4.3 s and strong privacy ...
Ming Fang   +3 more
wiley   +1 more source

QSAFE‐V: Quantum‐Enhanced Lightweight Authentication Protocol Design For Vehicular Tactile Wireless Networks

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 7, July 2026.
A quantum‐secured authentication framework, QSAFE‐V, is introduced for vehicular Tactile Internet environments. By integrating Quantum Identity Tokens, lattice‐based cryptography, and edge‐assisted verification, the framework enables lightweight mutual authentication with strong resistance against replay, impersonation, and quantum‐enabled attacks ...
Shakil Ahmed   +2 more
wiley   +1 more source

Simulation-Based Performance Validation of Homomorphic Encryption Algorithms in the Internet of Things

open access: yesFuture Internet, 2019
IoT systems consist of Hardware/Software systems (e.g., sensors) that are embedded in a physical world, networked and that interact with complex software platforms.
Johannes Kölsch   +3 more
doaj   +1 more source

Can homomorphic encryption be practical? [PDF]

open access: yesProceedings of the 3rd ACM workshop on Cloud computing security workshop, 2011
The prospect of outsourcing an increasing amount of data storage and management to cloud services raises many new privacy concerns for individuals and businesses alike. The privacy concerns can be satisfactorily addressed if users encrypt the data they send to the cloud.
Lauter, K.   +2 more
openaire   +5 more sources

Open sharing in Conservation AI: Benefits and Barriers

open access: yesConservation Letters, Volume 19, Issue 4, July/August 2026.
ABSTRACT Recent advances in artificial intelligence, particularly deep learning, are transforming conservation science, unblocking data‐filled bottlenecks and automating decision processes to help protect biodiversity. The power of deep learning algorithms depends on the size and quality of training datasets, and their uptake depends on the sharing of ...
Katie I. Murray   +4 more
wiley   +1 more source

Experimental Demonstration of Quantum Fully Homomorphic Encryption with Application in a Two-Party Secure Protocol

open access: yesPhysical Review X, 2020
A fully homomorphic encryption system hides data from unauthorized parties while still allowing them to perform computations on the encrypted data. Aside from the straightforward benefit of allowing users to delegate computations to a more powerful ...
W. K. Tham   +6 more
doaj   +1 more source

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