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Analysis of Homomorphic Encryption Algorithms [PDF]

Modern methods of homomorphic encryption are considered. Homomorphic encryption schemes are analyzed according to the type and complexity of operations they support. Homomorphic encryption schemes based on lattice problems, such as the BGV scheme and the
Hushchyn Bohdan-Danylo
core  

A Survey of Homomorphic Encryption for Nonspecialists

EURASIP Journal on Information Security, 2007
No ...
Fontaine, Caroline, Galand, Fabien
openaire   +3 more sources

Homomorphic Encryption

Homomorphic encryption (HE) is one technique that enables privacy-preserving computation. Operations (or circuit evaluations) are performed directly on homomorphically encrypted data. The result can then be decrypted. Since its introduction 46 years ago, homomorphic encryption has evolved significantly with a plethora of schemes to choose from, each ...
Xun Yi, Xuechao Yang, Xiaoning Liu, Andrei Kelarev, Kwok-Yan Lam, Mengmeng Yang, Xiangning Wang, Elisa Bertino   +7 more
openaire   +2 more sources

Homomorphic Encryption Using Enhanced BGV Encryption Scheme For Cloud Security

, 2018
Fully Homomorphic Encryption is used to enhance the security incase of un-trusted systems or applications that deals with sensitive data. Homomorphic encryption enables computation on encrypted data without decryption.
S.V.Suriya Prasad, K. Kumanan
core   +1 more source

Secure Cloud Computing Using Homomorphic Encryption

Безопасность информационных технологий, 2013
The question of cloud security has become more significant with growing popularity of cloud computing. This article is dedicated to fully homomorphic encryption which is one of the most promising methods to reach the necessary level of privacy.
Alexander Olegovich Zhirov, Olga Vladimirovna Zhirova, Sergey Fedorovich Krendelev   +2 more
doaj  

Design of a federated learning algorithm for power big data privacy computing based on pruning technique and homomorphic encryption

Egyptian Informatics Journal
This paper proposes a pruned homomorphic encryption-based collaborative federated learning algorithm to address the issues of non-uniform data distribution, overfitting caused by residual gradient features, and privacy leakage risks in power big data ...
Weijian Zhang, Li Di, Jing Zhang, Boyu Liu, Xinyan Wang   +4 more
doaj   +1 more source

New Limits for Homomorphic Encryption

We make progress on the foundational problem of determining the strongest security notion achievable by homomorphic encryption. Our results are negative. We prove that a wide class of semi-homomorphic public key encryption schemes (SHPKE) cannot be proven IND-PCA secure (indistinguishability against plaintext checkability attacks), a relaxation of IND ...
Sven Schäge, Marc Vorstermans
openaire   +2 more sources

Applications of Homomorphic Encryption

, 2013
First, we prove that if an asymmetric homomorphic encryption (homomorphic on addoperation) which can detect zero, detect equality, compare the value or detect overflow without any restrictions, then the scheme is not IND-CPA.
Tsai, Chen-yu
core  

Post-Quantum Homomorphic Encryption: A Case for Code-Based Alternatives

Cryptography
Homomorphic Encryption (HE) allows secure and privacy-protected computation on encrypted data without the need to decrypt it. Since Shor’s algorithm rendered prime factorisation and discrete logarithm-based ciphers insecure with quantum computations ...
Siddhartha Siddhiprada Bhoi, Arathi Arakala, Amy Beth Corman, Asha Rao   +3 more
doaj   +1 more source

On the Weakness of Fully Homomorphic Encryption

CoRR, 2015
10 ...
Zhengjun Cao, Lihua Liu 0001
openaire   +2 more sources