隐私计算与数据要素 · 全部实体（第 16 / 100 页）

本页收录第 1501–1600 条，共 10000 条 · 返回 隐私计算与数据要素 首页

• Federated Data Analytics in Smart Cities for Efficient Urban Intelligence
  The development of smart cities relies heavily on data-driven decision-making to improve urban services, enhance sustainability, and ensure efficient governance. With the rapid growth of IoT devices, sensors, and digital platforms, cities generate massive volu…
  datacite Shailesh Pandharinath Dhome, Prasad Nilkanth Nimbgoankar, Burhanoddin Akram Hakim 2026 置信度 0.66 Federated Data Analytics, Smart Cities, Urban Intelligence, Distributed Machine Learning, Privacy-Preserving Data Processing
• Cloud-Based e-Health Systems: A Comprehensive Review and Future Directions with Security and Privacy-Preserving Challenges
  Abstract Cloud computing has revolutionized e-health by enabling scalable storage and access to electronic health records (EHRs),By providing scalable storage and access to electronic health records (EHRs), cloud computing has transformed e-health. However, it…
  datacite R.Kalaichelvan, S.Gowthami, K.Vanitha, G.S.Geethamani 2026 置信度 0.66 Cloud-based e-health, Privacy-preserving techniques, Security challenges, Electronic health records (EHRs), Data confidentiality
• Cloud-Based e-Health Systems: A Comprehensive Review and Future Directions with Security and Privacy-Preserving Challenges
  Abstract Cloud computing has revolutionized e-health by enabling scalable storage and access to electronic health records (EHRs),By providing scalable storage and access to electronic health records (EHRs), cloud computing has transformed e-health. However, it…
  datacite R.Kalaichelvan, S.Gowthami, K.Vanitha, G.S.Geethamani 2026 置信度 0.66 Cloud-based e-health, Privacy-preserving techniques, Security challenges, Electronic health records (EHRs), Data confidentiality
• DEVELOPMENT OF AN ENHANCED BIT PLANE COMPLEXITY SEGMENTATION BASED HOMOMORPHIC ENCRYPTION FOR PRIVACY PRESERVATION IN DISTRIBUTED SYSTEM
  Privacy preservation in distributed systems faces persistent challenges in securing sensitive data while maintaining confidentiality and image quality. Conventional Bit Plane Complexity Segmentation (BPCS) techniques use fixed complexity thresholds, limiting e…
  datacite Kamaldeen, Zubair, Olabiyisi, Stephen Olatunde, Alade, Oluwaseun Modupe, Alabi, Iretiolu Yemisi 等 2026 置信度 0.66 Distributed Systems, Bit Plane Complexity Segmentation, Homomorphic Encryption
• DEVELOPMENT OF AN ENHANCED BIT PLANE COMPLEXITY SEGMENTATION BASED HOMOMORPHIC ENCRYPTION FOR PRIVACY PRESERVATION IN DISTRIBUTED SYSTEM
  Privacy preservation in distributed systems faces persistent challenges in securing sensitive data while maintaining confidentiality and image quality. Conventional Bit Plane Complexity Segmentation (BPCS) techniques use fixed complexity thresholds, limiting e…
  datacite Kamaldeen, Zubair, Olabiyisi, Stephen Olatunde, Alade, Oluwaseun Modupe, Alabi, Iretiolu Yemisi 等 2026 置信度 0.66 Distributed Systems, Bit Plane Complexity Segmentation, Homomorphic Encryption
• Oblivious Monitoring for Discrete-Time STL via Fully Homomorphic Encryption
  This is a cleaned-up version of the implementation used for the experiment of our RV 2024 paper.
  datacite Waga, Masaki, Matsuoka, Kotaro, Suwa, Takashi, Matsumoto, Naoki 等 2025 置信度 0.66
• Verified Pythagorean Composition for Adaptive Cryptographic Games: Noise Flooding in Homomorphic Encryption
  Noise flooding is a standard defense against decryption attacks on approximate homomorphic encryption, but its security proof is unusually sensitive to composition. Replacing each of $q$ adaptive decryption answers with a statistically close simulation and app…
  datacite Lee, Yi, Cojocaru, Alexandru, Liu, Junyi, Wu, Xiaodi 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciences
• Privacy-Preserving Analytics as a Platform Primitive in Healthcare Data Systems
  Healthcare data systems face fundamental challenges balancing large-scale analytics requirements with stringent privacy protection and regulatory compliance obligations. Current architectures treat privacy preservation as external constraints rather than found…
  datacite Narendra Reddy Mudiyala 2026 置信度 0.66
• Privacy-Preserving Analytics as a Platform Primitive in Healthcare Data Systems
  Healthcare data systems face fundamental challenges balancing large-scale analytics requirements with stringent privacy protection and regulatory compliance obligations. Current architectures treat privacy preservation as external constraints rather than found…
  datacite Narendra Reddy Mudiyala 2026 置信度 0.66
• Fully Homomorphic Behavioral Biometric Matching with Post-Quantum Lattices
  This Master’s thesis presents the design, implementation and evaluation of a lightweight privacy-preserving behavioral biometric authentication framework. The proposed system uses press-to-press keystroke timing features and the CKKS homomorphic encryption sch…
  datacite Mahaarachchi, Nipun Malshan 2026 置信度 0.66 Homomorphic EncryptionCKKSOpenFHEKeystroke DynamicsBehavioral Biometrics
• Fully Homomorphic Behavioral Biometric Matching with Post-Quantum Lattices
  This Master’s thesis presents the design, implementation and evaluation of a lightweight privacy-preserving behavioral biometric authentication framework. The proposed system uses press-to-press keystroke timing features and the CKKS homomorphic encryption sch…
  datacite Mahaarachchi, Nipun Malshan 2026 置信度 0.66 Homomorphic EncryptionCKKSOpenFHEKeystroke DynamicsBehavioral Biometrics
• EL-RAKHAWI MESSAGE: THE COMPLETE TREATISE ON SOVEREIGN CRYPTOGRAPHY
  EL-RAKHAWI MESSAGE: THE COMPLETE TREATISE ON SOVEREIGN CRYPTOGRAPHY A Theoretical, Practical, and Technical Masterwork Unifying Post Quantum Cryptography and Strategic Migration, Zero Knowledge Proofs and Verifiable Computation, Secure Multi Party and Homomorp…
  datacite el-rakhawi, mohamed kamal arafa 2026 置信度 0.66
• EL-RAKHAWI MESSAGE: THE COMPLETE TREATISE ON SOVEREIGN CRYPTOGRAPHY
  EL-RAKHAWI MESSAGE: THE COMPLETE TREATISE ON SOVEREIGN CRYPTOGRAPHY A Theoretical, Practical, and Technical Masterwork Unifying Post Quantum Cryptography and Strategic Migration, Zero Knowledge Proofs and Verifiable Computation, Secure Multi Party and Homomorp…
  datacite el-rakhawi, mohamed kamal arafa 2026 置信度 0.66
• Oblivious Monitoring for Discrete-Time STL via Fully Homomorphic Encryption
  We fixed the Docker image so that it works on Linux/x86-64 machines with AVX2 and FMA support.
  datacite Waga, Masaki, Matsuoka, Kotaro, Suwa, Takashi, Matsumoto, Naoki 等 2026 置信度 0.66
• Oblivious Monitoring for Discrete-Time STL via Fully Homomorphic Encryption
  We fixed the Docker image so that it works on Linux/x86-64 machines with AVX2 and FMA support.
  datacite Waga, Masaki, Matsuoka, Kotaro, Suwa, Takashi, Matsumoto, Naoki 等 2026 置信度 0.66
• One Error to Rule Them All: Can a Single Bit-Flip Disrupt Fully Homomorphic Encryption?
  Repository Description This artifact contains two independent codebases associated with the paper: A custom implementation of CKKS (referred to as C-CKKS). An implementation based on OpenFHE (v1.3.0) and HEAAN (v1.1). Both codebases support Linux and macOS C-C…
  datacite Mazzanti, Matias, Chan, Pichsereyvattana 2026 置信度 0.66
• One Error to Rule Them All: Can a Single Bit-Flip Disrupt Fully Homomorphic Encryption?
  Repository Description This artifact contains two independent codebases associated with the paper: A custom implementation of CKKS (referred to as C-CKKS). An implementation based on OpenFHE (v1.3.0) and HEAAN (v1.1). Both codebases support Linux and macOS C-C…
  datacite Mazzanti, Matias, Chan, Pichsereyvattana 2026 置信度 0.66
• One Error to Rule Them All: Can a Single Bit-Flip Disrupt Fully Homomorphic Encryption?
  Repository Description This artifact contains two independent codebases associated with the paper: A custom implementation of CKKS (referred to as C-CKKS). An implementation based on OpenFHE (v1.3.0) and HEAAN (v1.1). C-CKKS Unzip the c-ckks.zip archive and fo…
  datacite Mazzanti, Matias, Chan, Pichsereyvattana 2026 置信度 0.66
• Experimental Results and Reproducibility Artefacts for Design and Evaluation of a Modular Dark-Pool-Style Prototype
  This dataset contains the experimental results and reproducibility artefacts generated for the MSc dissertation “Design and Evaluation of a Modular Dark-Pool-Style Prototype”. It includes deterministic input datasets, raw and summarised results for the four ex…
  datacite BAHLAOUI, ISMAIL 2026 置信度 0.66 Paillier encryptionpartially homomorphic encryptiondark poolsblockchain auditabilityreproducibility
• Experimental Results and Reproducibility Artefacts for Design and Evaluation of a Modular Dark-Pool-Style Prototype
  This dataset contains the experimental results and reproducibility artefacts generated for the MSc dissertation “Design and Evaluation of a Modular Dark-Pool-Style Prototype”. It includes deterministic input datasets, raw and summarised results for the four ex…
  datacite BAHLAOUI, ISMAIL 2026 置信度 0.66 Paillier encryptionpartially homomorphic encryptiondark poolsblockchain auditabilityreproducibility
• PRIVACY-PRESERVING TECHNOLOGIES FOR CASHLESS FINANCIAL ECOSYSTEMS
  This paper provides an overview of privacy-protecting measures that can be used to secure user data and assure the safety and efficiency of digital activities in contactless financial ecosystems. Many people worry about identity theft, data breaches, and spyin…
  datacite Emerging Trends in Digital Transformation 2026 置信度 0.66 Privacy-preserving technologiesCashless financial systemsDigital paymentsData securityHomomorphic encryption
• PRIVACY-PRESERVING TECHNOLOGIES FOR CASHLESS FINANCIAL ECOSYSTEMS
  This paper provides an overview of privacy-protecting measures that can be used to secure user data and assure the safety and efficiency of digital activities in contactless financial ecosystems. Many people worry about identity theft, data breaches, and spyin…
  datacite Emerging Trends in Digital Transformation 2026 置信度 0.66 Privacy-preserving technologiesCashless financial systemsDigital paymentsData securityHomomorphic encryption
• Strategies for Data Privacy in Telecommunication Systems
  This research paper discusses the many strategies used to protect data privacy within telecommunication systems. As the industry becomes increasingly data-driven, effective measures to protect sensitive user information from growing cybersecurity risks are nec…
  datacite Annam, Srinikhil 2023 置信度 0.66 Data Privacy in Telecommunication SystemsEncryptionCybersecurityRegulation ComplianceHomomorphic Encryption
• Strategies for Data Privacy in Telecommunication Systems
  This research paper discusses the many strategies used to protect data privacy within telecommunication systems. As the industry becomes increasingly data-driven, effective measures to protect sensitive user information from growing cybersecurity risks are nec…
  datacite Annam, Srinikhil 2023 置信度 0.66 Data Privacy in Telecommunication SystemsEncryptionCybersecurityRegulation ComplianceHomomorphic Encryption
• A Secure and Optimization Based Clustering for Vertical and Horizontal Fragmentation in Distributed Database Management System
  Distributed database systems are increasingly important due to the massive data output, and their effectiveness is largely based on their design. Two key processes, fragmentation and allocation, are used to improve the efficiency and efficacy of these systems.…
  datacite Sahithi, D., Rani, J. Keziya 2023 置信度 0.66 Vertical FragmentationHorizontal FragmentationDistributed Database ProcessingAttributesOptimization-Based Clustering
• A Secure and Optimization Based Clustering for Vertical and Horizontal Fragmentation in Distributed Database Management System
  Distributed database systems are increasingly important due to the massive data output, and their effectiveness is largely based on their design. Two key processes, fragmentation and allocation, are used to improve the efficiency and efficacy of these systems.…
  datacite Sahithi, D., Rani, J. Keziya 2023 置信度 0.66 Vertical FragmentationHorizontal FragmentationDistributed Database ProcessingAttributesOptimization-Based Clustering
• The HeartBank Longitudinal Cohort: A Dataset Combining DNA, Natal Chart, Family Tree, Continuous Behavioral Observation, and Continuous Respiratory Observation at Civilizational Scale
  This paper specifies the methodology for the HeartBank Longitudinal Cohort, a voluntary opt-in dataset combining five data layers per consenting participant — (1) DNA sequence, (2) natal chart data (date + time + place of birth), (3) continuous longitudinal be…
  datacite Ly, Thon, Miss Aquarius 2026 置信度 0.66 longitudinal cohort methodologycosmic-coordinate correlationcontemplative sciencedifferential privacyfederated computation
• The Personalisation–Privacy Trade-off: Navigating AI-Driven Project Experiences and Ethical Data Usage
  The integration of artificial intelligence into enterprise software, particularly for project management, has created a critical tension between the pursuit of hyper-personalisation and the fundamental right to data privacy. Driven by significant economic and …
  datacite Majumdar, Partha 2026 置信度 0.66 Artificial intelligence
• The Personalisation–Privacy Trade-off: Navigating AI-Driven Project Experiences and Ethical Data Usage
  The integration of artificial intelligence into enterprise software, particularly for project management, has created a critical tension between the pursuit of hyper-personalisation and the fundamental right to data privacy. Driven by significant economic and …
  datacite Majumdar, Partha 2026 置信度 0.66 Artificial intelligence
• Keyword Search and Dual-Server Public-Key Encryption for Secure Cloud Storage
  A growing number of people are interested in searchable encryption to safeguard the privacy of their data in secure searchable cloud storage. In this research, we examine the security of public key encryption with keyword search (PEKS), a widely used cryptogra…
  datacite Asmayeen, Kumar, Dr. B. Sasi 2022 置信度 0.66 Location-Based Social NetworkText MiningTravel Route Recommendation
• Keyword Search and Dual-Server Public-Key Encryption for Secure Cloud Storage
  A growing number of people are interested in searchable encryption to safeguard the privacy of their data in secure searchable cloud storage. In this research, we examine the security of public key encryption with keyword search (PEKS), a widely used cryptogra…
  datacite Asmayeen, Kumar, Dr. B. Sasi 2022 置信度 0.66 Location-Based Social NetworkText MiningTravel Route Recommendation
• Federated Learning for Privacy-Preserving Machine Learning
  Machine learning systems increasingly rely on large datasets collected from distributed users and devices, but traditional centralized approaches require transferring raw data to central servers, raising serious concerns about privacy, security, and regulatory…
  datacite Shibu Thomas, Kiran, Francis, Nimmy 2026 置信度 0.66 Federated Learning, Privacy-Preserving Machine Learning, Differential Privacy, Secure Aggregation
• Federated Learning for Privacy-Preserving Machine Learning
  Machine learning systems increasingly rely on large datasets collected from distributed users and devices, but traditional centralized approaches require transferring raw data to central servers, raising serious concerns about privacy, security, and regulatory…
  datacite Shibu Thomas, Kiran, Francis, Nimmy 2026 置信度 0.66 Federated Learning, Privacy-Preserving Machine Learning, Differential Privacy, Secure Aggregation
• PERFORMANCE ANALYSIS OF SECURE RESOURCE ALLOCATION USING NEURO-FUZZY SYSTEMS IN CLOUD ENVIRONMENT
  In recent times one of the emerging and intelligent tool is Cloud Computing. It has developeda leadingmodel of computing and IT service delivery. Cloud Computing is characterized bythree-layered basic service forms such as, Platform-as-a-Service (PaaS), Softwa…
  datacite Kamalanathan Chandran, Karthick Sekar, Sunita Panda, Subramani Kirubakaran 2026 置信度 0.66
• PERFORMANCE ANALYSIS OF SECURE RESOURCE ALLOCATION USING NEURO-FUZZY SYSTEMS IN CLOUD ENVIRONMENT
  In recent times one of the emerging and intelligent tool is Cloud Computing. It has developeda leadingmodel of computing and IT service delivery. Cloud Computing is characterized bythree-layered basic service forms such as, Platform-as-a-Service (PaaS), Softwa…
  datacite Kamalanathan Chandran, Karthick Sekar, Sunita Panda, Subramani Kirubakaran 2026 置信度 0.66
• PRepChain: A versatile privacy-preserving reputation system for dynamic supply chain environments
  Despite their significant added value in the context of consumer-oriented e-commerce, reputation systems have seen limited adoption in other business settings and models these days. Yet, reliable reputation scores are essential in such settings for easing the …
  datacite Pennekamp, Jan, Bader, Lennart, Thevaraj, Emildeon, Berninger, Stefanie 等 2026 置信度 0.66 ConfidentialityHomomorphic encryptionSubjective and objective ratingsTrustUnlinkability
• Integrated Research on a Modular Extended OPLAN Architecture for Multi-Participant Joint Simulation and Wargaming ― A Next-Generation Joint Operations Simulation Foundation Integrating Virtual Aircraft Services, Integrated LVC Environments, Zero-Data Thin Endpoints, Live-Virtual Overlay, AI Tactical Evolution, and Safety-Assured BCI Command and Control ―
  This research proposes a next-generation joint operational simulation architecture that transforms conventional aircraft simulators from platform-specific training devices into a distributed operational ecosystem. The architecture integrates FAC (Operator Inte…
  datacite Kawauchi, Satoshi 2026 置信度 0.66
• Integrated Research on a Modular Extended OPLAN Architecture for Multi-Participant Joint Simulation and Wargaming ― A Next-Generation Joint Operations Simulation Foundation Integrating Virtual Aircraft Services, Integrated LVC Environments, Zero-Data Thin Endpoints, Live-Virtual Overlay, AI Tactical Evolution, and Safety-Assured BCI Command and Control ―
  This research proposes a next-generation joint operational simulation architecture that transforms conventional aircraft simulators from platform-specific training devices into a distributed operational ecosystem. The architecture integrates FAC (Operator Inte…
  datacite Kawauchi, Satoshi 2026 置信度 0.66
• In-depth Homomorphic Encryption: Mathematical Foundations and Python Implementations
  Homomorphic Encryption (HE), the capacity to perform computations on encrypted data without prior decryption, has evolved from a theoretical aspiration into a pivotal technology for privacy-preserving artificial intelligence, confidential cloud computing, and …
  datacite Majumdar, Partha 2026 置信度 0.66 Artificial intelligenceCryptographyHomomorphic Encryption
• In-depth Homomorphic Encryption: Mathematical Foundations and Python Implementations
  Homomorphic Encryption (HE), the capacity to perform computations on encrypted data without prior decryption, has evolved from a theoretical aspiration into a pivotal technology for privacy-preserving artificial intelligence, confidential cloud computing, and …
  datacite Majumdar, Partha 2026 置信度 0.66 Artificial intelligenceCryptographyHomomorphic Encryption
• Optional Annihilation: Structural Conditions for Matter-Antimatter Coexistence
  In this paper, I propose a theoretical model that reinterprets antimatter as an encrypted operational state, rather than a destructive opposite of matter. Drawing inspiration from fully homomorphic encryption, the framework treats annihilation not as a fundame…
  datacite Zermeno, Ernest Darell 2025 置信度 0.66
• Optional Annihilation: Structural Conditions for Matter-Antimatter Coexistence
  In this paper, I propose a theoretical model that reinterprets antimatter as an encrypted operational state, rather than a destructive opposite of matter. Drawing inspiration from fully homomorphic encryption, the framework treats annihilation not as a fundame…
  datacite Zermeno, Ernest Darell 2025 置信度 0.66
• An Innovative Security and Privacy Algorithm for AWS Cloud Computing
  Cloud computing has revolutionized data storage and processing, with Amazon Web Services (AWS) emerging as a leading provider. However, ensuring robust security and privacy remains a critical challenge due to the increasing complexity and sophistication of cyb…
  datacite Gedam, Aditya, Yadav, Jeetendra Singh 2026 置信度 0.66 AWS Cloud Computing; Security Algorithm; Privacy Protection; Data Encryption; Intrusion Detection System (IDS); Role-Based Access Control (RBAC)
• An Innovative Security and Privacy Algorithm for AWS Cloud Computing
  Cloud computing has revolutionized data storage and processing, with Amazon Web Services (AWS) emerging as a leading provider. However, ensuring robust security and privacy remains a critical challenge due to the increasing complexity and sophistication of cyb…
  datacite Gedam, Aditya, Yadav, Jeetendra Singh 2026 置信度 0.66 AWS Cloud Computing; Security Algorithm; Privacy Protection; Data Encryption; Intrusion Detection System (IDS); Role-Based Access Control (RBAC)
• Homomorphic Encryption Architectures
  datacite Safa Mohamed 2026 置信度 0.66
• Homomorphic Encryption Architectures
  datacite Safa Mohamed 2026 置信度 0.66
• Secure Outsourcing Association Rule Mining in Horizontally and Vertically Partition Database Using Eclat and Double Encryption Technique
  Cloud computing uses the ideal model of information mining-as-an service, utilizing these it seems to be an obvious choice for companies saving on the cost of contributing to secure, manage and keep up an IT infrastructure. An association or company who is lac…
  datacite Thite, Rutuja, Kharat, Dr. M. U. 2018 置信度 0.66 Data MiningAssociation Rules GenerationVertically and Horizontally Partition DataEncryption Techniques.
• Secure Outsourcing Association Rule Mining in Horizontally and Vertically Partition Database Using Eclat and Double Encryption Technique
  Cloud computing uses the ideal model of information mining-as-an service, utilizing these it seems to be an obvious choice for companies saving on the cost of contributing to secure, manage and keep up an IT infrastructure. An association or company who is lac…
  datacite Thite, Rutuja, Kharat, Dr. M. U. 2018 置信度 0.66 Data MiningAssociation Rules GenerationVertically and Horizontally Partition DataEncryption Techniques.
• Cloud Infrastructure Fortification: Advanced Security Strategies in the Era of Emerging Threats
  This article presents a comprehensive analysis of advanced strategies for protecting cloud infrastructure against emerging cybersecurity threats. The article examines the transformation from traditional perimeter-based security models to adaptive, multi-layere…
  datacite Batchu, Sandeep 2026 置信度 0.66 Zero-trust architecture; Cloud infrastructure security; AI-driven threat detection; Multi-cloud strategy; Homomorphic encryption
• Cloud Infrastructure Fortification: Advanced Security Strategies in the Era of Emerging Threats
  This article presents a comprehensive analysis of advanced strategies for protecting cloud infrastructure against emerging cybersecurity threats. The article examines the transformation from traditional perimeter-based security models to adaptive, multi-layere…
  datacite Batchu, Sandeep 2026 置信度 0.66 Zero-trust architecture; Cloud infrastructure security; AI-driven threat detection; Multi-cloud strategy; Homomorphic encryption
• Federated Learning in Distributed Systems: A Privacy-First Approach
  Federated learning has emerged as a transformative approach in machine learning, addressing critical challenges in data privacy and distributed computation. This article examines the evolution and implementation of federated learning across various sectors, fo…
  datacite Singhal, Ankush 2026 置信度 0.66 Privacy-Preserving Machine Learning; Secure Aggregation Protocol; Distributed Healthcare Analytics; Smart City Infrastructure; Federated Model Training
• Federated Learning in Distributed Systems: A Privacy-First Approach
  Federated learning has emerged as a transformative approach in machine learning, addressing critical challenges in data privacy and distributed computation. This article examines the evolution and implementation of federated learning across various sectors, fo…
  datacite Singhal, Ankush 2026 置信度 0.66 Privacy-Preserving Machine Learning; Secure Aggregation Protocol; Distributed Healthcare Analytics; Smart City Infrastructure; Federated Model Training
• Enhanced File Security using Encryption and Splitting technique over Multi-cloud Environment
  Cloud computing is a field which has been fast growing over the last few years. The fact that cloud can provide both computation and storage at low rates makes it popular among corporations and IT industries. This also makes it a very captivating proposition f…
  datacite Kudtarkar, Prathamesh P., Pagare, Jayesh D., Ahire, Sujata R., Pawar, Tejaswini S. 2015 置信度 0.66 Cloud ComputingCloud SecurityHomomorphic EncryptionSearchable EncryptionSecure Socket Layer
• Enhanced File Security using Encryption and Splitting technique over Multi-cloud Environment
  Cloud computing is a field which has been fast growing over the last few years. The fact that cloud can provide both computation and storage at low rates makes it popular among corporations and IT industries. This also makes it a very captivating proposition f…
  datacite Kudtarkar, Prathamesh P., Pagare, Jayesh D., Ahire, Sujata R., Pawar, Tejaswini S. 2015 置信度 0.66 Cloud ComputingCloud SecurityHomomorphic EncryptionSearchable EncryptionSecure Socket Layer
• Blockchain-Based Tokenized Storage Incentives: Revolutionizing Decentralized Object Storage
  This article presents an innovative approach to decentralized object storage that combines blockchain technology, distributed hash tables (DHTs), and advanced cryptographic techniques. The proposed system addresses the limitations of traditional centralized st…
  datacite Gupta, Ankit 2025 置信度 0.66 Blockchain integration; Decentralized storage systems; Distributed hash tables; Homomorphic encryption; Tokenized incentives
• Blockchain-Based Tokenized Storage Incentives: Revolutionizing Decentralized Object Storage
  This article presents an innovative approach to decentralized object storage that combines blockchain technology, distributed hash tables (DHTs), and advanced cryptographic techniques. The proposed system addresses the limitations of traditional centralized st…
  datacite Gupta, Ankit 2025 置信度 0.66 Blockchain integration; Decentralized storage systems; Distributed hash tables; Homomorphic encryption; Tokenized incentives
• Privacy-Preserving in Machine Learning: Bridging Security and Performance in Modern Applications
  Privacy-preserving machine learning (PPML) has emerged as a critical paradigm in the era of data-driven applications, addressing the fundamental tension between leveraging large-scale datasets and protecting individual privacy. This technical article examines …
  datacite Nalam, Ramachandra Vamsi Krishna, Nalam, Pooja Sri, Anuvalasetty, Sruthi 2025 置信度 0.66 Privacy-Preserving Machine Learning (PPML); Federated Learning; Homomorphic Encryption; Secure Multi-Party Computation (MPC); Data Privacy Architecture
• Privacy-Preserving in Machine Learning: Bridging Security and Performance in Modern Applications
  Privacy-preserving machine learning (PPML) has emerged as a critical paradigm in the era of data-driven applications, addressing the fundamental tension between leveraging large-scale datasets and protecting individual privacy. This technical article examines …
  datacite Nalam, Ramachandra Vamsi Krishna, Nalam, Pooja Sri, Anuvalasetty, Sruthi 2025 置信度 0.66 Privacy-Preserving Machine Learning (PPML); Federated Learning; Homomorphic Encryption; Secure Multi-Party Computation (MPC); Data Privacy Architecture
• Privacy-Preserving Federated Learning in Healthcare - A Secure AI Framework
  Federated Learning (FL) has transformed AI applications in healthcare by enabling collaborative model training across multiple institutions while preserving patient data privacy. Despite its advantages, FL remains susceptible to security vulnerabilities, inclu…
  datacite Telaprolu, Bhavani Sankar 2025 置信度 0.66 Privacy-Preserving AI; Federated Learning; Secure Multi-Party Computation; Differential Privacy; Homomorphic Encryption; Healthcare AI
• Privacy-Preserving Federated Learning in Healthcare - A Secure AI Framework
  Federated Learning (FL) has transformed AI applications in healthcare by enabling collaborative model training across multiple institutions while preserving patient data privacy. Despite its advantages, FL remains susceptible to security vulnerabilities, inclu…
  datacite Telaprolu, Bhavani Sankar 2025 置信度 0.66 Privacy-Preserving AI; Federated Learning; Secure Multi-Party Computation; Differential Privacy; Homomorphic Encryption; Healthcare AI
• Recent Innovations in AI Privacy: Protecting Data in the Age of Machine Learning
  This comprehensive article explores recent advancements in privacy-preserving technologies within artificial intelligence systems, focusing on five key approaches: federated learning, differential privacy, homomorphic encryption, privacy-preserving machine lea…
  datacite Sonkar, Siddhant 2025 置信度 0.66 Privacy-Preserving AI; Federated Learning; Differential Privacy; Homomorphic Encryption; Zero-Knowledge Proofs
• Recent Innovations in AI Privacy: Protecting Data in the Age of Machine Learning
  This comprehensive article explores recent advancements in privacy-preserving technologies within artificial intelligence systems, focusing on five key approaches: federated learning, differential privacy, homomorphic encryption, privacy-preserving machine lea…
  datacite Sonkar, Siddhant 2025 置信度 0.66 Privacy-Preserving AI; Federated Learning; Differential Privacy; Homomorphic Encryption; Zero-Knowledge Proofs
• Homomorphic Encryption for Secure Ad Targeting: Balancing Privacy and Personalization in Digital Advertising
  This article explores the application of homomorphic encryption (HE) in secure ad targeting, addressing the critical challenge of balancing personalized advertising with user privacy concerns in the digital advertising ecosystem. We examine the fundamentals of…
  datacite Sinha, Swati 2025 置信度 0.66 Homomorphic Encryption; Privacy-Preserving Ad Targeting; Secure Ad Platforms; Computational Overhead in Advertising; Privacy-Personalization Trade-off
• Homomorphic Encryption for Secure Ad Targeting: Balancing Privacy and Personalization in Digital Advertising
  This article explores the application of homomorphic encryption (HE) in secure ad targeting, addressing the critical challenge of balancing personalized advertising with user privacy concerns in the digital advertising ecosystem. We examine the fundamentals of…
  datacite Sinha, Swati 2025 置信度 0.66 Homomorphic Encryption; Privacy-Preserving Ad Targeting; Secure Ad Platforms; Computational Overhead in Advertising; Privacy-Personalization Trade-off
• A Research Homomorphic Encryption Scheme to Secure Data Mining in Cloud Computing for Banking System
  Big data is difficult to handle, process and analyse using traditional approach. Using services, we can resolve problem like resource sharing, storage capacity and data transfer bottlenecks etc. But there is a main issue of data mining based attacks, allows an…
  datacite Sakharkar, Sneha, Karnuke, Shubhangi, Doifode, Snehal, Deshmukh, Vaishnavi 2018 置信度 0.66 Homomorphism EncryptionDecryptionData miningSecurityCloud Computing.
• A Research Homomorphic Encryption Scheme to Secure Data Mining in Cloud Computing for Banking System
  Big data is difficult to handle, process and analyse using traditional approach. Using services, we can resolve problem like resource sharing, storage capacity and data transfer bottlenecks etc. But there is a main issue of data mining based attacks, allows an…
  datacite Sakharkar, Sneha, Karnuke, Shubhangi, Doifode, Snehal, Deshmukh, Vaishnavi 2018 置信度 0.66 Homomorphism EncryptionDecryptionData miningSecurityCloud Computing.
• Survey on Security Issues in Decision Support System of Health Care Network
  Medical Secure Systems (MSSs) are spoken to by incorporating count and also physical procedures. The theories and uses of MSSs confront the huge issues. The main objective of this study is to give a more prominent comprehension summary of this developing techn…
  datacite Ingle, Jayshree V., Chopde, Nitin 2021 置信度 0.66 Medical Cyber Physical SystemsSecure Digital CoverConfidentialityHomomorphic Encryption
• Compact CAFED Fully Homomorphic Encryption Scheme
  crossref Lang Li 2018-03-20T16:48:54Z 置信度 0.70
• SARSA(0) Reinforcement Learning over Fully Homomorphic Encryption
  crossref Jihoon Suh, Takashi Tanaka 2021-07-28T20:29:35Z 置信度 0.70
• Homomorphic Encryption for AI-Based Applications: Challenges and Opportunities
  crossref Rafik Hamza 2023-11-06T14:05:46Z 置信度 0.70
• Intel HEXL
  crossref Fabian Boemer, Sejun Kim, Gelila Seifu, Fillipe D.M. de Souza 等 2021-11-05T22:04:55Z 置信度 0.70
• Fundamentals of fully homomorphic encryption
  crossref Zvika Brakerski 2019-10-09T17:40:23Z 置信度 0.70
• Towards Provably Secure Encrypted Control Using Homomorphic Encryption
  crossref Kaoru Teranishi, Kiminao Kogiso 2023-01-10T19:26:56Z 置信度 0.70
• Implementation and Analysis of Homomorphic Encryption Schemes
  crossref Nitin Jain 2012-07-07T06:38:16Z 置信度 0.70
• Secure encryption method of privacy set intersection based on homomorphic encryption algorithm
  crossref Nan Hu, Ruiting Qu, Lihua Guo, Pan Hu 等 2023-08-15T23:35:26Z 置信度 0.70
• Secure and Confidential Rule Matching for Network Traffic Analysis
  crossref Dimitar Jetchev, Alistair Muir 2022-01-03T23:02:43Z 置信度 0.70
• USING HOMOMORPHIC ENCRYPTION SYSTEM FOR HARASSMENT CONTROL WITH COMPLETE RESPECT OF PRIVACY
  crossref MASSIMO REGOLI 2020-05-27T00:02:36Z 置信度 0.70
• SoK: Fully Homomorphic Encryption over the [Discretized] Torus
  First posed as a challenge in 1978 by Rivest et al., fully homomorphic encryption—the ability to evaluate any function over encrypted data—was only solved in 2009 in a breakthrough result by Gentry (Commun. ACM, 2010). After a decade of intense research, pract…
  crossref Marc Joye 2022-09-01T05:54:02Z 置信度 0.70
• Accelerating Fully Homomorphic Encryption in Hardware
  crossref Yarkin Doroz, Erdinc Ozturk, Berk Sunar 2014-08-05T18:29:52Z 置信度 0.70
• Homomorphic Encryption
  crossref Pawel Sniatala, S.S. Iyengar, Sanjeev Kaushik Ramani 2021-11-30T20:34:17Z 置信度 0.70
• Searchable Homomorphic Encryption Scheme for Blockchain Data Sharing
  crossref Chunpeng Fang, Mengyao Liang 2026-01-28T20:55:52Z 置信度 0.70
• Attack on Fully Homomorphic Encryption over the Integers
  crossref Gu Chunsheng 2013-02-23T11:16:59Z 置信度 0.70
• Privacy-Preserving Data Exfiltration Monitoring Using Homomorphic Encryption
  crossref Kurt Rohloff 2016-01-07T22:15:31Z 置信度 0.70
• Privacy-Preserving Keystroke Analysis using Fully Homomorphic Encryption & Differential Privacy
  crossref Jatan Loya, Tejas Bana 2021-11-18T01:23:05Z 置信度 0.70
• Homomorphic Encryption for Multiple Users With Less Communications
  crossref Jeongeun Park 2021-10-02T01:53:38Z 置信度 0.70
• Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption
  crossref Yang Gao, Gang Quan, Wujie Wen, Scott Piersall 等 2025-10-08T21:37:36Z 置信度 0.70
• A Survey of Homomorphic Encryption for Outsourced Big Data Computation
  crossref 2017-01-09T07:43:42Z 置信度 0.70
• Retrospective Study on Classical Homomorphic Encryption Algorithms
  crossref Sonam Mittal, Soni Singh 2023-10-02T17:43:38Z 置信度 0.70
• Privacy-Preserving Medical Risk Assessment Using Homomorphic Encryption
  crossref Raushan Kumar Pandit, Kirill Morozov, Cihan Tunc 2025-11-13T18:42:42Z 置信度 0.70
• Password-Based Authentication System Based on Homomorphic Encryption
  crossref Marwan Nayyef, Ali Sagheer 2018-09-26T06:00:36Z 置信度 0.70
• Accelerated Multi-Key Homomorphic Encryption via Automorphism-Based Circuit Bootstrapping
  crossref Kangwei Xu, Ruwei Huang 2025-01-07T14:43:39Z 置信度 0.70
• Intrusion Detection and Secure Data Storage in Cloud Computing Using Modified-Ann and Fully Homomorphic Encryption Algorithm
  crossref Prasanta Kumar Bal, Sateesh Kumar Pradhan 2019-12-03T05:32:11Z 置信度 0.70
• On Circuit Private, Multikey and Threshold Approximate Homomorphic Encryption
  Homomorphic encryption for approximate arithmetic allows one to encrypt discretized real/complex numbers and evaluate arithmetic circuits over them. The first scheme, called CKKS, was introduced by Cheon et al. (Asiacrypt 2017) and gained tremendous attention.…
  crossref Kamil Kluczniak, Giacomo Santato 2025-04-08T17:23:17Z 置信度 0.70
• The Algebra Homomorphic Encryption Scheme Based on Fermat's Little Theorem
  crossref Guangli Xiang, Zhuxiao Cui 2012-05-25T14:58:26Z 置信度 0.70
• Lattice-based homomorphic encryption of vector spaces
  crossref Carlos Aguilar Melchor, Guilhem Castagnos, Philippe Gaborit 2008-08-13T22:33:52Z 置信度 0.70
• Quantized Approximate Signal Processing (QASP): Towards Homomorphic Encryption for Audio
  crossref Tu Duyen Nguyen, Adrien Lesage, Clotilde Cantini, Rachid Riad 2026-07-08T20:05:36Z 置信度 0.70
• Privacy-Preserving Decentralized Optimization Using Homomorphic Encryption
  crossref Xiang Huo, Mingxi Liu 2021-05-26T15:43:42Z 置信度 0.70
• Advances and Applications in Fully Homomorphic Encryption Research
  With the rapid advancement of information technology and the widespread adoption of cloud computing, data security and privacy protection have increasingly become global priorities. In this context, Fully Homomorphic Encryption (FHE) has emerged as a sophistic…
  crossref Dikai Zhao 2025-02-21T01:52:58Z 置信度 0.70
• Private Movie Recommendations for Children
  crossref Anh Pham, Mohammad Samragh, Sameer Wagh, Emily Wenger 2022-01-03T23:02:43Z 置信度 0.70
• Fully Homomorphic Encryption for Mathematicians
  We give an introduction to Fully Homomorphic Encryption for mathematicians. Fully Homomorphic Encryption allows untrusted parties to take encrypted data E n c ( m 1 ) , … , E n c ( m t ) \mathrm {Enc}(m_1),\ldots ,\mathrm {Enc}(m_t) and any efficiently computa…
  crossref Alice Silverberg 2013-12-16T11:51:08Z 置信度 0.70