Advancements in fully homomorphic encryption over the integers: a comprehensive survey and analysis

Fully Homomorphic Encryption (FHE) schemes represent a groundbreaking development that enables computations on encrypted data while ensuring data privacy. Since Gentry's pioneering work on FHE, various variants of FHE schemes have emerged. These variants, particularly (Ring) Learning with Errors-based schemes, NTRU-based schemes, and Approximate Greatest Common Divisor (AGCD)-based schemes, also known as FHE over the integers (FHE-OI), have garnered substantial interest and remain active areas of research. Notably, FHE-OI stands out for its conceptual simplicity and has undergone significant improvements over time. These improvements include reductions in public key sizes, batched processing capabilities, scale-invariant properties, faster bootstrapping, and parameter selection for enhanced security. In light of these noteworthy advancements and the growing importance of AGCD-based FHE, this survey paper aims to explore existing FHE-OI schemes, providing detailed insights into their protocols, strengths, and limitations. Moreover, we propose a technique for seamless transitions between different variants of FHE schemes without requiring decryption, enabling the utilization of their respective advantages. Additionally, we present several open problems in FHE-OI and expand the scope of this encryption paradigm.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
Primary Topic
Plant Stress Responses and Tolerance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancements in fully homomorphic encryption over the integers: a comprehensive survey and analysis

SHILAP Revista de lepidopterología
Plant Stress Responses and Tolerance
article

Advancements in fully homomorphic encryption over the integers: a comprehensive survey and analysis

article en

Abstract

Fully Homomorphic Encryption (FHE) schemes represent a groundbreaking development that enables computations on encrypted data while ensuring data privacy. Since Gentry's pioneering work on FHE, various variants of FHE schemes have emerged. These variants, particularly (Ring) Learning with Errors-based schemes, NTRU-based schemes, and Approximate Greatest Common Divisor (AGCD)-based schemes, also known as FHE over the integers (FHE-OI), have garnered substantial interest and remain active areas of research. Notably, FHE-OI stands out for its conceptual simplicity and has undergone significant improvements over time. These improvements include reductions in public key sizes, batched processing capabilities, scale-invariant properties, faster bootstrapping, and parameter selection for enhanced security. In light of these noteworthy advancements and the growing importance of AGCD-based FHE, this survey paper aims to explore existing FHE-OI schemes, providing detailed insights into their protocols, strengths, and limitations. Moreover, we propose a technique for seamless transitions between different variants of FHE schemes without requiring decryption, enabling the utilization of their respective advantages. Additionally, we present several open problems in FHE-OI and expand the scope of this encryption paradigm.

SHILAP Revista de lepidopterología
Motilal Nehru National Institute of Technology (IN)
Openalex Percentile: Top 29%
Plant Stress Responses and Tolerance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advancements in fully homomorphic encryption over the integers: a comprehensive survey and analysis · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS