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• Compile-Time Fully Homomorphic Encryption: Eliminating Online Encryption via Algebraic Basis Synthesis
  We propose a new framework for compile-time ciphertext synthesis in fully homomorphic encryption (FHE) systems. Instead of invoking encryption algorithms at runtime, our method synthesizes ciphertexts from precomputed encrypted basis vectors using only homomor…
  crossref Dongfang Zhao 2025-06-16T06:40:27Z 置信度 0.70
• When Only Parts Matter: Efficient Privacy-Preserving Analytics with Fully Homomorphic Encryption
  crossref Alexandros Bakas, Dimitrios Schoinianakis 2026-03-21T23:01:16Z 置信度 0.70
• Homomorphic Encryption in Multi-Factor Authentication: A Partial Homomorphic Encryption Approach to One-Time Password Protection
  crossref Shynbolat Unaibayev, Sagyndyk Suleimanov, Akzhibek Amirova, Olga Ussatova 等 2026-07-14T19:38:14Z 置信度 0.70
• Contributions to design and analysis of Fully Homomorphic Encryption schemes
  Contributions à la conception et analyse des schémas de chiffrement complètement homomorphe Les schémas de Chiffrement Complètement Homomorphe (FHE) permettent de manipuler des données chiffrées avec grande flexibilité : ils rendent possible l'évaluation de fo…
  crossref Francisco Vial prado 2026-04-02T11:06:30Z 置信度 0.70
• Challenges and Opportunities Associated with Homomorphic Encryption for Financial Cryptography
  crossref S. Finney Daniel Shadrach, A. Shiny Pershiya, A. Shirley Stevany Faryl, K. Balasamy 等 2023-08-01T00:02:13Z 置信度 0.70
• Speeding Up Encryption on IoT Devices Using Homomorphic Encryption
  crossref Marin Matsumoto, Masato Oguchi 2021-10-10T19:28:45Z 置信度 0.70
• Privacy-Preserving Keystroke Dynamics Authentication Using CKKS Homomorphic Encryption
  Abstract Although biometric authentication is widely adopted for digital identity authentication, sometimes, the biometric feature vectors can be revealed in the matching process as the systems can decrypt the templates of the other parties for comparison. Thi…
  europepmc Nipun Mahaarachchi 2026 置信度 0.80
• On a Symmetric Homomorphic Encryption Scheme for Multidimensional Data in IoT
  Abstract Homomorphic encryption (HE) schemes enable one to perform certain operations on the encrypted data without decrypting. In literature, HE schemes that allow simple computations on encrypted data have been known for a long time and many efficient HE enc…
  europepmc Manvi Upadhyay, Manoj Choudhuri, Ram Narayan Yadav 2026 置信度 0.80
• Federated Learning Parameter Protection Based on Homomorphic Encryption and Selective User Decryption
  Abstract Existing security schemes of Federated learning mostly rely on encryption mechanism and participant reliability, but it is difficult to effectively defend against attack threats such as member reasoning, attribute reasoning, model reversal, etc. Meanw…
  europepmc Zhangbing Li, Mingyu Xiao, Jiantian Xiao, Jinsheng Li 等 2026 置信度 0.80
• Homomorphic encryption for privacy-preserving data aggregation in data spaces.
  europepmc Gorka Calvo, Anhelina Kovach, Jorge Lanza, Leticia Montalvillo 等 2026 置信度 0.80
• A multiparty homomorphic encryption approach to confidential federated Kaplan-Meier survival analysis.
  Abstract The proliferation of real-world health data enables multi-institutional survival studies, yet privacy constraints preclude centralizing sensitive records. We present a privacy-preserving federated Kaplan–Meier framework based on threshold CKKS (Cheon-…
  europepmc Narasimha Raghavan Veeraragavan, Svetlana Boudko, Jan Franz Nygård 2026 置信度 0.80
• Machine learning-driven adaptive parameter selection for homomorphic encryption in edge computing.
  europepmc Hamid El Bouabidi, Mohamed El Ghmary, Salah Eddine Hebabaze, Mohamed Amnai 2026 置信度 0.80
• Secure bioinformatics: privacy-preserving federated analytics using homomorphic encryption.
  europepmc 2026 置信度 0.80
• Transforming Distributed Software Security with Homomorphic Encryption and AI-Driven Threat Hunting
  Distributed modern software platforms spanning microservices, serverless functions, and edge computing face unprecedented security threats from stealthy adversaries exploiting encrypted data flows and behavioural camouflage. Conventional defences require decry…
  europepmc P. Selvaprasanth 2026 置信度 0.80
• Threshold-adaptive pruning with multi-key homomorphic encryption for communication-efficient secure federated learning.
  Under the federated learning framework, frequent parameter interactions between edge devices and servers result in communication inefficiency, while conventional encryption methods fail to resist multi-node collusion attacks. To address these challenges, this …
  pubmed Guo J, Liu R, Xing J 2026 置信度 0.82
• Efficient and Privacy-Preserving Argmax Approximation Using Homomorphic Encryption for Neural Networks
  Abstract Privacy-preserving neural networks represent a compelling approach for enabling secure training and inference without compromising user data confidentiality. Fully Homomorphic Encryption (FHE) is a cornerstone technology in this domain, as it permits …
  europepmc Jagadeesh Sai D 2026 置信度 0.80
• Design and Implementation of a Privacy Protection System for Face Recognition Using CKKS Fully Homomorphic Encryption
  Abstract Addressing the issues of biometric privacy leakage, threats from quantum computing attacks, and security vulnerabilities in key management inherent in face recognition applications, this paper proposes and implements KyberShield—a privacy protection s…
  europepmc Yudian Wang, Sitong Li 2026 置信度 0.80
• Homomorphic encryption enables privacy preserving polygenic risk scores.
  europepmc Elizabeth Knight, Jiaqi Li, Matthew Jensen, Israel Yolou 等 2026 置信度 0.80
• Privacy-Utility Tradeoffs in Hierarchical Federated Learning Under Combined Differential Privacy and CKKS Homomorphic Encryption for Distributed Healthcare Networks
  Abstract Privacy-preserving federated learning for healthcare requires mechanisms that address both gradient privacy and transmission confidentiality. Existing approaches apply Differential Privacy (DP) and Homomorphic Encryption (HE) in isolation, leaving the…
  europepmc Sayed Mohammed Alwedaei, Jenan Moosa 2026 置信度 0.80
• HE-CloudML: A Privacy-Preserving Framework for Secure Machine Learning Inference over Encrypted Cloud Data Using Homomorphic Encryption
  Abstract The widespread adoption of cloud-based Machine Learning as a Service (MLaaS) exposes sensitive user data to critical privacy risks during inference, as plaintext data must typically be processed by untrusted cloud servers. This paper presents HE-Cloud…
  europepmc Abdullahi Ahmed Abdirahman, Abdirahman Osman Hashi, Ubaid Mohamed Dahir, Mohamed Abdirahman Elmi 2026 置信度 0.80
• An integrated privacy preserving data aggregation framework for IoT networks using homomorphic encryption and secure computation.
  europepmc Qiang Qin, Yongjiao Yang, Jiaxin Lin, Hanye Huang 等 2026 置信度 0.80
• Stochastic Poisson-embedded privacy framework for federated learning with secure homomorphic encryption in medical AI.
  europepmc R. Gomathi, K. Saranya, Y. M. Mahaboob John, G. Leena Rosalind Mary 2026 置信度 0.80
• LSTM guided homomorphic encryption for threat-resistant IoT networks.
  europepmc 2025 置信度 0.80
• Multi-Group Fully Homomorphic Encryption Scheme Based on LWE and NTRU
  Multi-Group Homomorphic Encryption (MGHE) is a pivotal advance in secure multi-party computation, integrating merits of Multi-Party Homomorphic Encryption (MPHE) and Multi-Key Homomorphic Encryption (MKHE) to eliminate MPHE’s fixed-party limitation and mitigat…
  europepmc Yongheng Li, Jing Wen, Shaoling Liang, Fanqi Kong 等 2026 置信度 0.80
• KmerCrypt: private k-mer search with homomorphic encryption.
  Abstract Outsourcing the storage and analysis of genomic data to third-party servers is often necessary due to the scale of modern datasets, but it introduces significant privacy challenges that must be addressed to ensure secure handling. K-mer-based analyses…
  europepmc Kimonas Provatas, Ioannis Mouratidis, Ilias Georgakopoulos-Soares 2025 置信度 0.80
• Securing gait recognition with homomorphic encryption.
  europepmc 2025 置信度 0.80
• Privacy Protection Optimization Method for Cloud Platforms Based on Federated Learning and Homomorphic Encryption.
  With the wide application of cloud computing in multi-tenant, heterogeneous nodes and high-concurrency environments, model parameters frequently interact during distributed training, which easily leads to privacy leakage, communication redundancy, and decrease…
  europepmc Jing Wang, Yun Wang 2026 置信度 0.80
• Blockchain-enabled secure authentication and privacy-preserving information sharing in VANETs using adaptive echo state networks and dual trapdoor homomorphic encryption.
  europepmc 2026 置信度 0.80
• Privacy-Preserving Differential Expression Analysis via Fully Homomorphic Encryption: A Systematic Tradeoff Evaluation of BFV and CKKS on Cancer RNA-Seq Datasets
  Abstract Background: Cloud-based genomic analysis increasingly exposes sensitive RNA-sequencing data to external computational infrastructure, raising critical privacy concerns for differential expression studies. Fully homomorphic encryption (FHE) enables com…
  europepmc Dilen Shankar 2026 置信度 0.80
• A privacy-preserving HLA imputation method with homomorphic encryption.
  europepmc 2025 置信度 0.80
• Homomorphic Encryption for Confidential Statistical Computation: Feasibility and Challenges
  Homomorphic encryption allows computations on encrypted data without revealing it to anyone other than an owner or an authorized collector. When combined with other tech-niques, homomorphic encryption offers an ideal solution for ensuring statistical confiden-…
  europepmc Yesem Kurt Peker, Rahul Raj 2025 置信度 0.80
• Efficient Privacy-Preserving Face Recognition Based on Feature Encoding and Symmetric Homomorphic Encryption.
  europepmc 2025 置信度 0.80
• Secure and Verifiable Edge-Federated Learning with Homomorphic Encryption and a Trusted Execution Environment for UAV Communication
  Edge drones continuously collect sensitive information such as telemetry data during missions, making it difficult to apply centralized model training directly due to privacy protection, security compliance, and regulatory constraints. Although federated learn…
  europepmc Huachang Su, Yekang Zhao, Wenrui Zhang, Hongling Zhang 等 2026 置信度 0.80
• Privacy-preserving federated credit risk models: evaluating differential privacy and homomorphic encryption techniques.
  europepmc Vankamamidi S. Naresh, D. Ayyappa 2026 置信度 0.80
• Privacy-Preserving Edge Intelligence Framework (PPEIF) Using Homomorphic Encryption and Knowledge Distillation for Efficient Electronic Health Records Management
  Abstract The rapid integration of machine learning in healthcare emphasizes the need for privacy-preserving and efficient solutions, especially when managing sensitive Electronic Health Records (EHRs). Existing federated learning (FL) frameworks face significa…
  europepmc Munusamy S, Jothi K R 2026 置信度 0.80
• Secure Tracking of Patient's Vital Signs Using CSI-Based Homomorphic Encryption-Enabled Deep Learning Framework.
  europepmc 2026 置信度 0.80
• FedGraphHE: A privacy-preserving federated graph neural network framework with dynamic homomorphic encryption and robust aggregation.
  europepmc 2026 置信度 0.80
• Health-FedNet: secure federated learning for chronic disease prediction on MIMIC-III with differential privacy and homomorphic encryption.
  europepmc 2026 置信度 0.80
• Efficient Keyset Design for Neural Networks Using Homomorphic Encryption.
  europepmc 2025 置信度 0.80
• Homomorphic Encryption-Based Data Integrity Verification and Anti-Tampering Mechanism in Cloud Storage Environment
  To enhance the integrity assurance of encrypted data in cloud storage environments, a homomorphic encryption-based data remote verification and anti-tampering mechanism is proposed. The design incorporates a homomorphic verification protocol to enable consiste…
  europepmc Xiaoyu Deng 2025 置信度 0.80
• Research on a novel gene sequence prediction and homomorphic encryption method based on Mamba-VMD.
  europepmc 2026 置信度 0.80
• Performance and security analysis of fully homomorphic encryption in cloud-based healthcare blockchain.
  europepmc 2025 置信度 0.80
• PRISM: privacy-preserving rare disease analysis using fully homomorphic encryption.
  europepmc 2025 置信度 0.80
• A privacy preserving intrusion detection framework for IIoT in 6G networks using homomorphic encryption and graph neural networks.
  europepmc Binjie Hua, Haiyan Xi 2025 置信度 0.80
• Edge Reinforced Learning Platform with Homomorphic Encryption and Swarm Intelligence for Ultra-Low Latency IoT Sensing and Cross-Device Communication
  This paper presents an edge-reinforced learning platform that combines reinforcement learning, homomorphic encryption, and swarm intelligence to support ultra-low latency IoT sensing and cross-device communication. In conventional IoT architectures, cloud-cent…
  europepmc V. Thamilarasi 2026 置信度 0.80
• Shechi: A Secure Distributed Computation Compiler Based on Multiparty Homomorphic Encryption.
  europepmc 2025 置信度 0.80
• Development of Privacy-preserving Deep Learning Model with Homomorphic Encryption: A Technical Feasibility Study in Kidney CT Imaging.
  europepmc 2025 置信度 0.80
• Privacy-Preserving Clinical Analytics with Threshold Homomorphic Encryption: Insights from Hematologic Toxicity During Craniospinal Irradiation
  The increasing need for safeguarding medical data privacy, particularly in research involving sensitive patient information, requires innovative solutions. This work proposes a conceptual architecture that uses (threshold) homomorphic encryption for statistica…
  europepmc George Cătălin Ţurcaş, George Gugulea, Cristian Lupaşcu, Mihai Togan 等 2025 置信度 0.80
• Secure Tourist Tracking Using Fully Homomorphic Encryption in a Robotics Information System
  Tourists often face challenges such as language barriers and limited access to reliable information. To address this, a Robotics Information System (RIS) was developed using a humanoid robot named Arslan to assist visitors in real-time. The system manages sens…
  europepmc Lujin Dersani, Ihab Elaff 2025 置信度 0.80
• Outsourced Privacy-Preserving Feature Selection Based on Fully Homomorphic Encryption
  Feature selection is a technique that extracts a meaningful subset from a set of features in training data. When the training data is large-scale, appropriate feature selection enables the removal of redundant features, which can improve generalization perform…
  europepmc Koki Wakiyama, Tomohiro I, Hiroshi Sakamoto 2025 置信度 0.80
• Benchmarking Homomorphic Encryption on Low-Power Devices: Trade-offs Between PHE and FHE
  Abstract Homomorphic Encryption (HE) allows computation on ciphertexts, ensuring strong privacy for applications like smart metering, healthcare, and financial analytics. However, instantiating HE on power-constrained embedded devices is challenging as the com…
  europepmc Het Khatusuriya, Dhvani Patel, Martin Parmar 2025 置信度 0.80
• Enhancing privacy-preserving brain tumor classification with adaptive reputation-aware federated learning and homomorphic encryption.
  europepmc 2025 置信度 0.80
• Privacy-preserving method for face recognition based on homomorphic encryption.
  europepmc 2025 置信度 0.80
• Highly efficient homomorphic encryption-based federated learning for diabetic retinopathy classification.
  europepmc Christopher Nielsen, Matthias Wilms, Nils D. Forkert 2025 置信度 0.80
• Efficient face information encryption and verification scheme based on full homomorphic encryption.
  europepmc 2025 置信度 0.80
• Flexible Threshold Quantum Homomorphic Encryption on Quantum Networks.
  europepmc 2024 置信度 0.80
• Secure multiparty computation for maximum and minimum values based on quantum homomorphic encryption.
  Secure multiparty computation is a basic cryptographic primitive that has many important applications in privacy preservation. In this work, we propose a new secure multiparty computation protocol for the maximum and minimum values based on quantum homomorphic…
  europepmc Shuang Li, Xiao-Qiu Cai, Tian-Yin Wang 2025 置信度 0.80
• Smart Grid IoT Framework for Predicting Energy Consumption Using Federated Learning Homomorphic Encryption.
  Homomorphic Encryption (HE) introduces new dimensions of security and privacy within federated learning (FL) and internet of things (IoT) frameworks that allow preservation of user privacy when handling data for FL occurring in Smart Grid (SG) technologies. In…
  europepmc Filip Jerkovic, Nurul I. Sarkar, Jahan Ali 2025 置信度 0.80
• Applications of Homomorphic Encryption in Secure Computation
  europepmc 2024 置信度 0.80
• Privacy-preserving framework for genomic computations via multi-key homomorphic encryption.
  Abstract Motivation The affordability of genome sequencing and the widespread availability of genomic data have opened up new medical possibilities. Nevertheless, they also raise significant concerns regarding privacy due to the sensitive information they enco…
  europepmc Mina Namazi, Mohammadali Farahpoor, Erman Ayday, Fernando Pérez-González 2025 置信度 0.80
• Private detection of relatives in forensic genomics using homomorphic encryption.
  europepmc Fillipe D. M. de Souza, Hubert de Lassus, Ro Cammarota 2024 置信度 0.80
• Secure State Estimation for Artificial Neural Networks With Unknown-But-Bounded Noises: A Homomorphic Encryption Scheme.
  europepmc 2025 置信度 0.80
• Smart Grid IoT Framework Integrating Peer-to-Peer Federated Learning with Homomorphic Encryption
  Homomorphic Encryption (HE) introduces new dimensions of security and privacy within federated learning (FL) and Internet of Things (IoT) frameworks that allow preservation of user privacy when handling data for FL occurring Smart Grid (SG) technologies. In th…
  europepmc Filip Jerkovic, Nurul I. Sarkar, Jahan Ali 2025 置信度 0.80
• Homomorphic Encryption: An Application to Polygenic Risk Scores
  Abstract Background: Polygenic risk scores (PRS) have emerged as a powerful tool in precision medicine, enabling personalized risk assessments for complex diseases. However, using sensitive genomic data in PRS calculations raises concerns about privacy and sec…
  europepmc elizabeth knight, Jiaqi Li, Mathew Jensen, Israel Yolou 等 2024 置信度 0.80
• Private pathological assessment via machine learning and homomorphic encryption.
  europepmc Ahmad Al Badawi, Mohd Faizal Bin Yusof 2024 置信度 0.80
• Using the Power-Of-Two Vector Padding to Enhance Efficiency and Speed in CKKS Homomorphic Encryption
  Abstract The Cheon-Kim-Kim-Song (CKKS) encryption scheme has enabled secure data processing in sensitive domains and hence has transformed privacy-preserving computations due to its unique ability to support approximate arithmetic on real numbers. However, the…
  europepmc Franco Osei-Wusu, Emmanuel Ahene, Elvis Sarfo Antwi 2024 置信度 0.80
• Bootstrapping Optimization for Fully Homomorphic Encryption Schemes
  Abstract With the advent of cloud computing and the era of big data, there is an increasing focus on privacy computing. Consequently, homomorphic encryption, being a primary technique for achieving privacy computing, is held in high regard. Nevertheless, the e…
  europepmc Meng Wu, Xiufeng Zhao, Weitao Song 2024 置信度 0.80
• Secure multiparty computation protocol based on homomorphic encryption and its application in blockchain.
  europepmc Haijun Bao, Minghao Yuan, Haitao Deng, Jiang Xu 等 2024 置信度 0.80
• Hierarchical Clustering via Single and Complete Linkage Using Fully Homomorphic Encryption.
  europepmc 2024 置信度 0.80
• <span style="color: black; mso-themecolor: text1;">Lattice-Based Multi-Key Homomorphic Encryption Scheme Without CRS
  Multi-key homomorphic encryption is widely applied into outsourced computing and privacy-preserving applications in multi-user scenarios. However, the existence of CRS weakens the ability of users to independently generate public keys, and it is difficult to i…
  europepmc Hongyi Zhang, Mengxue Shang, Hanzhuo Liu, Dandan Zhang 2025 置信度 0.80
• Towards Sustainable Cryptography: A Comprehensive Assessment of Compute Efficiency and Scope 1–3 Emissions for Partially Homomorphic Encryption in the Cloud
  Quantum computing was in its infancy while cloud adoption increased but secure data processing methods in distributed environments became more important. As cloud-based operations continue to expand, allowing computation to be performed directly on encrypted d…
  europepmc Alper Ozpinar, Sefik Ilkin Serengil 2025 置信度 0.80
• Experimental Quantum Homomorphic Encryption Using a Quantum Photonic Chip.
  europepmc 2024 置信度 0.80
• Secure and Efficient General Matrix Multiplication On Cloud Using Homomorphic Encryption
  Abstract Despite the enormous technical and financial advantages of cloud computing, security and privacy have always been the primary concerns for adopting cloud computing facilities, especially for government agencies and commercial sectors with high-securit…
  europepmc Yang Gao, Quan Gang, Soamar Homsi, Wujie Wen 等 2024 置信度 0.80
• Image traceable privacy protection scheme based on blockchain and homomorphic encryption
  Aiming to address issues such as low security, inefficient encryption and decryption, weak robustness, image tampering, and the misuse of existing image encryption algorithms in blockchain-based applications for image sharing and transmission, this paper propo…
  europepmc Tian Li, Qiu-yu Zhang, Guo-rui Wu 2024 置信度 0.80
• Stochastic switching and analog-state programmable memristor and its utilization for homomorphic encryption hardware.
  europepmc 2024 置信度 0.80
• Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach.
  europepmc 2025 置信度 0.80
• Multi-PVO for Reversible Data Hiding Based onFull Homomorphic Encryption
  Abstract To enhance the embedding performance of reversible data hiding algorithms and bolster the security of data transmission processes, a novel pixel value ordering method based on full homomorphic encryption is proposed in this paper. First, we propose a …
  europepmc Bin Ge, Yaqing Shen, Chenxing Xia, Rui Sun 2024 置信度 0.80
• Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
  Abstract In sectors such as finance and healthcare, where data governance is subject to rigorous regulatory requirements, the exchange and utilization of data are particularly challenging. Federated Learning (FL) has risen as a pioneering distributed machine l…
  europepmc Chuan Ma, Siyang Jiang, Hao Yang, Qipeng Xie 等 2024 置信度 0.80
• Privacy protection of communication networks using fully homomorphic encryption based on network slicing and attributes.
  europepmc Wei Wang, Rong Liu, Silin Cheng 2024 置信度 0.80
• Privacy-preserving biological age prediction over federated human methylation data using fully homomorphic encryption.
  europepmc 2024 置信度 0.80
• An electronic voting scheme based on homomorphic encryption and decentralization.
  Compared with paper-based voting, electronic voting not only has advantages in storage and transmission, but also can solve the security problems that exist in traditional voting. However, in practice, most electronic voting faces the risk of voting failure du…
  pubmed Yuan K, Sang P, Zhang S, Chen X 等 2023 置信度 0.82
• Finding Highly Similar Regions of Genomic Sequences Through Homomorphic Encryption.
  europepmc 2024 置信度 0.80
• Encrypted Image Classification with Low Memory Footprint Using Fully Homomorphic Encryption.
  Classifying images has become a straightforward and accessible task, thanks to the advent of Deep Neural Networks. Nevertheless, not much attention is given to the privacy concerns associated with sensitive data contained in images. In this study, we propose a…
  europepmc Lorenzo Rovida, Alberto Leporati 2024 置信度 0.80
• Self-learning activation functions to increase accuracy of privacy-preserving Convolutional Neural Networks with homomorphic encryption.
  europepmc 2024 置信度 0.80
• Advancing Federated Learning through Verifiable Computations and Homomorphic Encryption.
  Federated learning, as one of the three main technical routes for privacy computing, has been widely studied and applied in both academia and industry. However, malicious nodes may tamper with the algorithm execution process or submit false learning results, w…
  pubmed Zhang B, Lu G, Qiu P, Gui X 等 2023 置信度 0.82
• Federated Learning Approach for Secured Medical Recommendation in Internet of Medical Things Using Homomorphic Encryption.
  europepmc 2024 置信度 0.80
• Enhanced Homomorphic Encryption and Dual Blockchain Authentication for Securing Medical Data on the Internet of Things
  Abstract This research presents Enhanced Homomorphic Encryption (DBA-EHE) and Dual Blockchain Authentication as methods for protecting medical data on the Internet of Things (IoT). Two authentication layers make up DBA-EHE: edge-based and blockchain-based. Whe…
  europepmc gopinath velivela, venkata rao k, krishana rao sala 2024 置信度 0.80
• A 2D Cryptographic Hash Function Incorporating Homomorphic Encryption for Secure Digital Signatures.
  Abstract User authentication is a critical aspect of any information exchange system which verifies the identities of individuals seeking access to sensitive information. Conventionally, this approachrelies on establishing robust digital signature protocols wh…
  europepmc Akshay Wali, Harikrishnan Ravichandran, Saptarshi Das 2024 置信度 0.80
• Harnessing the potential of shared data in a secure, inclusive, and resilient manner via multi-key homomorphic encryption.
  europepmc 2024 置信度 0.80
• Leaking Secrets in Homomorphic Encryption with Side-Channel Attacks
  Abstract Homomorphic encryption (HE) allows computing encrypted data in the ciphertext domain without knowing the encryption key. It is possible, however, to break fully homomorphic encryption (FHE) algorithms by using side channels. This article demonstrates …
  europepmc Furkan Aydin, Aydin Aysu 2023 置信度 0.80
• A Review of Homomorphic Encryption for Privacy-Preserving Biometrics.
  The advancement of biometric technology has facilitated wide applications of biometrics in law enforcement, border control, healthcare and financial identification and verification. Given the peculiarity of biometric features (e.g., unchangeability, permanence…
  pubmed Yang W, Wang S, Cui H, Tang Z 等 2023 置信度 0.82
• Configurable Encryption and Decryption Architectures for CKKS-Based Homomorphic Encryption.
  With the increasing number of edge devices connecting to the cloud for storage and analysis, concerns about security and data privacy have become more prominent. Homomorphic encryption (HE) provides a promising solution by not only preserving data privacy but …
  pubmed Lee J, Duong PN, Lee H 2023 置信度 0.82
• Enhancing Efficiency and Security in Unbalanced PSI-CA Protocols through Cloud Computing and Homomorphic Encryption in Mobile Networks
  Private Set Intersection Cardinality(PSI-CA) is a cryptographic method in secure multi-party computation that allows entities to identify cardinality of the intersection without revealing their private data.Traditional approaches assume similar-sized datasets …
  europepmc Wuzheng Tan, Shenglong Du, Jian Weng 2024 置信度 0.80
• Summation-based Private Segmented Membership Test from Threshold-Fully Homomorphic Encryption.
  In many real-world scenarios, there are cases where a client wishes to check if a data element they hold is included in a set segmented across a large number of data holders. To protect user privacy, the client's query and the data holders' sets should remain …
  europepmc Nirajan Koirala, Jonathan Takeshita, Jeremy Stevens, Taeho Jung 2024 置信度 0.80
• BatchEncryption: Localized Federated Learning in Preserving-privacy with Efficient Integer Vector Homomorphic Encryption
  Abstract Deep Learning as a Service (DLaaS) provides an efficient way to facilitate deep neural networks (DNNs) in various applications. Despite the accuracy of deep learning models, there is a paramount need for robust protocols to protect the privacy and sec…
  europepmc Tianying Xie 2023 置信度 0.80
• A Survey on Implementations of Homomorphic Encryption Schemes
  Abstract With the increased need for data confidentiality in various applications of our daily life, homomorphic encryption (HE) has emerged as a promising cryptographic topic. HE enables to perform computations directly on encrypted data (ciphertexts) without…
  europepmc Thi Van Thao DOAN, Mohamed-Lamine Messai, Gérald Gavin, Jérôme Darmont 2022 置信度 0.80
• Smart contracts and homomorphic encryption for private P2P energy trading and demand response on blockchain.
  Blockchain technology offers great value in terms of decentralization, data integrity, transparency, and traceability, however the transactional data is public, and accessible raising concerns about violating privacy regulations. For example, in the peer-to-pe…
  pubmed Mitrea D, Toderean L, Cioara T, Anghel I 等 2023 置信度 0.82
• An Efficient and Secure Blockchain Based Homomorphic Encryption for Intelligent Transport System
  Abstract The volume of automobiles on roadways keeps growing and crashes increase in frequency, managing traffic routes gets increasingly crucial. Real-time messages are delivered through wireless connections in Intelligent Transport Systems(ITS), although thi…
  europepmc Nikhil Tanwar 2023 置信度 0.80
• Secret learning for lung cancer diagnosis-a study with homomorphic encryption, texture analysis and deep learning.
  Advanced lung cancer diagnoses from radiographic images include automated detection of lung cancer from CT-Scan images of the lungs. Deep learning is a popular method for decision making which can be used to classify cancerous and non-cancerous lungs from CT-S…
  pubmed Adhikary S, Dutta S, Dwivedi AD 2023 置信度 0.82
• RETRACTED: Secured learning through electronic health records using Hybrid Fully Homomorphic Encryption
  Abstract The authors have requested that this preprint be removed from Research Square.
  europepmc Kundan Munjal, Rekha Bhatia, Shilpa Verma 2024 置信度 0.80