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An overview of torus fully homomorphic encryption [PDF]
The homomorphic encryption allows us to operate on encrypted data, making any action less vulnerable to hacking. The implementation of a fully homomorphic cryptosystem has long been impracticable. A breakthrough was achieved only in 2009 thanks to Gentry
Maria Ferrara +2 more
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Fully Dynamic Multi-Key FHE Without Gaussian Noise
Fully dynamic multi-key fully homomorphic encryption (FHE) that allows an unlimited number of homomorphic operations for unconstrained parties. That is to say, it supports performing as many computational procedures on inputs (which are encrypted by an ...
Yu Huang, Kaigui Wu, Ming Chen
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The polynomial learning with errors problem and the smearing condition
As quantum computing advances rapidly, guaranteeing the security of cryptographic protocols resistant to quantum attacks is paramount. Some leading candidate cryptosystems use the learning with errors (LWE) problem, attractive for its simplicity and ...
Babinkostova Liljana +4 more
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Leveled Fully Homomorphic Signcryption From Lattices
With the continuous and rapid development of Cloud Computing, Big Data and Internet of Things, it is extremely critical to protect data with homomorphism, privacy and integrity. For this, Rezaeibagha et al.
Xiaodan Jin +4 more
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A Mathematical Perspective on Post-Quantum Cryptography
In 2016, the National Institute of Standards and Technology (NIST) announced an open competition with the goal of finding and standardizing suitable algorithms for quantum-resistant cryptography.
Maximilian Richter +3 more
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Revocable attribute-based proxy re-encryption
Attribute-based proxy re-encryption (ABPRE), which combines the notions of proxy re-encryption (PRE) and attribute-based encryption (ABE), allows a semi-trusted proxy with re-encryption key to transform a ciphertext under a particular access policy into ...
Luo Fucai, Al-Kuwari Saif
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When Bad News Become Good News
Hard physical learning problems have been introduced as an alternative option to implement cryptosystems based on hard learning problems. Their high-level idea is to use inexact computing to generate erroneous computations directly, rather than to first
Davide Bellizia +4 more
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Star-Specific Key-Homomorphic PRFs From Learning With Linear Regression
We introduce a novel method to derandomize the learning with errors (LWE) problem by generating deterministic yet sufficiently independent LWE instances that are constructed by using linear regression models, which are generated via (wireless ...
Vipin Singh Sehrawat +2 more
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Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme
There are mostly semi-honest agents in cloud computing, so agents may perform unreliable calculations during the actual execution process. In this paper, an attribute-based verifiable conditional proxy re-encryption (AB-VCPRE) scheme using a homomorphic ...
Yongli Tang +4 more
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New Constructions of Identity-Based Dual Receiver Encryption from Lattices
Dual receiver encryption (DRE), being originally conceived at CCS 2004 as a proof technique, enables a ciphertext to be decrypted to the same plaintext by two different but dual receivers and becomes popular recently due to itself useful application ...
Yuan Liu +3 more
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