Results 61 to 70 of about 1,818,451 (197)

Fully Homomorphic Encryption without bootstrapping [PDF]

open access: yes, 2015
Gentry’s bootstrapping technique is the most famous method of obtaining fully homomorphic encryption. In this paper I propose a new fully homomorphic encryption scheme on non-associative octonion ring over finite field without bootstrapping technique ...
Masahiro Yagisawa
core   +1 more source

Frequency Shaping for Improving a Trade‐Off Between Control and Privacy Performance: Beyond Differential Privacy

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In privacy protection of control systems, a trade‐off between control performance and privacy level is often pointed out. Our goal in this paper is to improve this trade‐off by shaping the frequency of noise added for privacy protection when the control objective is to track a reference signal, which is taken as a piece of information whose ...
Rintaro Watanabe   +3 more
wiley   +1 more source

An Integer Fully Homomorphic Encryption Scheme with Shorter Public Key Size [PDF]

open access: yesJisuanji gongcheng, 2018
Aiming at the problem that the efficiency of the integer Fully Homomorphic Encryption(FHE) scheme is low and the public key is long,Coron’s public key compression technique is used to encryption algorithm with a quadratic form,a partial homomorphic ...
SUN Nigang,ZHU Haoran,CHEN Xuanren
doaj   +1 more source

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley   +1 more source

Privacy-Preserving Feature Selection with Fully Homomorphic Encryption

open access: yesAlgorithms, 2022
For the feature selection problem, we propose an efficient privacy-preserving algorithm. Let D, F, and C be data, feature, and class sets, respectively, where the feature value x(Fi) and the class label x(C) are given for each x∈D and Fi∈F. For a triple (
Shinji Ono   +5 more
doaj   +1 more source

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai   +5 more
wiley   +1 more source

On Constructing a Fully Homomorphic Encryption

open access: yesТруды Института системного программирования РАН, 2018
Suggested a new construction for full homomorphic encryption which doesn’t use an extra information on secret key.
A. V. Shokurov, K. V. Sergeev
doaj   +1 more source

Study of Fully Homomorphic Encryption over Integers [PDF]

open access: yes, 2017
Fully homomorphic encryption has long been regarded as an open problem of cryptography. The method of constructing first fully homomorphic encryption scheme by Gentry is complicate so that it has been considered difficult to understand.
, ZHOU Gang Qiang, CHEN Shu Hang, MA Jia Min
core  

Multi-identity Fully Homomorphic Encryption Scheme Supporting Threshold Decryption

open access: yes工程科学与技术, 2019
In order to solve the problem that traditional identity-based fully homomorphic encryption schemes can only perform homomorphic operations and access control on ciphertexts under the same identity, a multi-identity fully homomorphic encryption scheme was
Xiaoyuan YANG   +3 more
doaj  

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

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