Introduction to Homomorphic Encryption and Schemes

Cheon, Jung Hee; Costache, Anamaria; Moreno, Radames Cruz; Dai, Wei; Gama, Nicolas; Georgieva, Mariya; Halevi, Shai; Kim, Miran; Kim, Sunwoong; Laine, Kim; Polyakov, Yuriy; Song, Yongsoo

doi:10.1007/978-3-030-77287-1_1

Cited by 9 publications

(4 citation statements)

References 26 publications

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“…In 2009, Gentry [14] made a discovery in the field of cryptography by defining the first fully homomorphic encryption scheme (FHE). The FHE is a powerful cryptographic primitive that allows calculations to be performed on encrypted data without having access to the secret key and without the need to decrypt.…”

Section: B Fully Homomorphic Encryption (Fhe)mentioning

confidence: 99%

H3PC: Enhanced Security and Privacy-Preserving Platoon Construction Based on Fully Homomorphic Encryption

Chah,

Lombard,

Bkakria

et al. 2023

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

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With the increasing adoption of connected and autonomous vehicles, platooning services have emerged as a promising solution to enhance road traffic efficiency. However, the widespread deployment of platooning services raises concerns about the privacy and security of sensitive vehicle data. This paper proposes a novel privacy-preserving framework for platoon formation, named H3PC (Homomorphic Privacy-Preserving Platooning Construction), to address privacy and security challenges. The proposed approach is based on fully homomorphic encryption and order-preserving encryption, to enable secure and private operations within the platoon construction. In addition, the H3PC framework incorporates a safe vehicle control method that adheres to established norms in the literature. By striking a balance between security and computational efficiency, H3PC enables effective platooning construction. Furthermore, we present experimental results demonstrating the performance and latency of H3PC.

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Section: B Fully Homomorphic Encryption (Fhe)mentioning

confidence: 99%

H3PC: Enhanced Security and Privacy-Preserving Platoon Construction Based on Fully Homomorphic Encryption

Chah,

Lombard,

Bkakria

et al. 2023

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

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“…A S CLOUD-BASED computing services are exploding and spreading, the security of customer's private information is a prerequisite for cloud service providers. In that scenario, homomorphic encryption (HE) has emerged as an ideal technology to prevent data disclosure [1]. HE is characterized by data encryption and direct computation on fully encrypted data.…”

Section: Introductionmentioning

confidence: 99%

Area-Efficient Number Theoretic Transform Architecture for Homomorphic Encryption

Duong-Ngoc

Kwon

Yoo

et al. 2023

IEEE Trans. Circuits Syst. I

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“…In RLWE-based FHE protocols, the input messages are encrypted by adding noise, and the generated ciphertexts are composed of two polynomial rings. The growth of noise through homomorphic computations limits the circuit depth, and the selection of FHE parameters must balance the security requirements with computational complexity [ 4 ]. Parameter selection primarily involves polynomial degree N , and modulo integer Q with at least 128-bit security is typically required to guard against unpredictable attacks [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Pipelined Key Switching Accelerator Architecture for CKKS-Based Fully Homomorphic Encryption

Duong-Ngoc

Lee

2023

Sensors

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The increasing ubiquity of big data and cloud-based computing has led to increased concerns regarding the privacy and security of user data. In response, fully homomorphic encryption (FHE) was developed to address this issue by enabling arbitrary computation on encrypted data without decryption. However, the high computational costs of homomorphic evaluations restrict the practical application of FHE schemes. To tackle these computational and memory challenges, a variety of optimization approaches and acceleration efforts are actively being pursued. This paper introduces the KeySwitch module, a highly efficient and extensively pipelined hardware architecture designed to accelerate the costly key switching operation in homomorphic computations. Built on top of an area-efficient number-theoretic transform design, the KeySwitch module exploited the inherent parallelism of key switching operation and incorporated three main optimizations: fine-grained pipelining, on-chip resource usage, and high-throughput implementation. An evaluation on the Xilinx U250 FPGA platform demonstrated a 1.6× improvement in data throughput compared to previous work with more efficient hardware resource utilization. This work contributes to the development of advanced hardware accelerators for privacy-preserving computations and promoting the adoption of FHE in practical applications with enhanced efficiency.

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Introduction to Homomorphic Encryption and Schemes

Cited by 9 publications

References 26 publications

H3PC: Enhanced Security and Privacy-Preserving Platoon Construction Based on Fully Homomorphic Encryption

H3PC: Enhanced Security and Privacy-Preserving Platoon Construction Based on Fully Homomorphic Encryption

Area-Efficient Number Theoretic Transform Architecture for Homomorphic Encryption

Pipelined Key Switching Accelerator Architecture for CKKS-Based Fully Homomorphic Encryption

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