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• Cloud Security and Privacy: A Systematic Review of Threats, Solutions, and Future Direction
  The protection of data saved, transferred, and processed in cloud settings has become a significant concern as cloud computing becomes the foundation of today's digital infrastructure. Cloud systems' multi-tenant design can be complicated, and standard securit…
  datacite Hussain, Prof. (Dr.) Abid 2025 置信度 0.66 Cloud SecurityData PrivacyMulti-TenancyEncryption TechniquesIntrusion Detection Systems
• Cloud Security and Privacy: A Systematic Review of Threats, Solutions, and Future Direction
  The protection of data saved, transferred, and processed in cloud settings has become a significant concern as cloud computing becomes the foundation of today's digital infrastructure. Cloud systems' multi-tenant design can be complicated, and standard securit…
  datacite Hussain, Prof. (Dr.) Abid 2025 置信度 0.66 Cloud SecurityData PrivacyMulti-TenancyEncryption TechniquesIntrusion Detection Systems
• A Review of Cloud-Based Data Security Protocols
  Cloud computing has rapidly transformed how organizations store, process, and manage data, offering unparalleled flexibility, scalability, and cost efficiency. However, as businesses migrate critical assets to cloud environments, robust and adaptable data secu…
  datacite Singhania, Vanya 2024 置信度 0.66 cloud security, data protocols, encryption, authentication, access control.
• A Review of Cloud-Based Data Security Protocols
  Cloud computing has rapidly transformed how organizations store, process, and manage data, offering unparalleled flexibility, scalability, and cost efficiency. However, as businesses migrate critical assets to cloud environments, robust and adaptable data secu…
  datacite Singhania, Vanya 2024 置信度 0.66 cloud security, data protocols, encryption, authentication, access control.
• A Survey on Privacy-Preserving Computing in the Automotive Domain
  As vehicles become increasingly connected and autonomous, they accumulate and manage various personal data, thereby presenting a key challenge in preserving privacy during data sharing and processing. This survey reviews applications of Secure Multi-Party Comp…
  datacite Yuca, Nergiz, Matyunin, Nikolay, Arzoglou, Ektor, Anagnostopoulos, Nikolaos Athanasios 等 2025 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation
  As AI-driven dataspaces become integral to data sharing and collaborative analytics, ensuring privacy, performance, and policy compliance presents significant challenges. This paper provides a comprehensive review of privacy-preserving and policy-aware AI tech…
  datacite Chandra, Joydeep, Navneet, Satyam Kumar 2025 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution
  The entity resolution problem requires finding pairs across datasets that belong to different owners but refer to the same entity in the real world. To train and evaluate solutions (either rule-based or machine-learning-based) to the entity resolution problem,…
  datacite Yao, Yixiang, Jin, Weizhao, Ravi, Srivatsan 2023 置信度 0.66 Information Retrieval (cs.IR)Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Post-Quantum Homomorphic Encryption: A Case for Code-Based Alternatives
  Homomorphic Encryption (HE) allows secure and privacy-protected computation on encrypted data without the need to decrypt it. Since Shor's algorithm rendered prime factorisation and discrete logarithm-based ciphers insecure with quantum computations, researche…
  datacite Bhoi, Siddhartha Siddhiprada, Arakala, Arathi, Corman, Amy Beth, Rao, Asha 2025 置信度 0.66 Cryptography and Security (cs.CR)History and Overview (math.HO)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Mathematics
• EVALUATING BLOCKCHAIN AND HOMOMORPHIC ENCRYPTION FOR SECURE DATA PROCESSING IN MULTI-CLOUD HYBRID DATABASE SYSTEMS: A SYSTEMATIC LITERATURE REVIEW
  The evolving landscape of backend software development increasingly depends on multi-cloud hybrid database systems to facilitate scalability, high availability, and cost savings. Since data is spread over multiple cloud providers, it becomes difficult to deplo…
  datacite Tadi, Sri Rama Chandra Charan Teja 2019 置信度 0.66 multi cloudHomomorphic EncryptionBlockchainHybrid databaseAudit
• EVALUATING BLOCKCHAIN AND HOMOMORPHIC ENCRYPTION FOR SECURE DATA PROCESSING IN MULTI-CLOUD HYBRID DATABASE SYSTEMS: A SYSTEMATIC LITERATURE REVIEW
  The evolving landscape of backend software development increasingly depends on multi-cloud hybrid database systems to facilitate scalability, high availability, and cost savings. Since data is spread over multiple cloud providers, it becomes difficult to deplo…
  datacite Tadi, Sri Rama Chandra Charan Teja 2019 置信度 0.66 multi cloudHomomorphic EncryptionBlockchainHybrid databaseAudit
• Privacy Risks in Health Big Data: A Systematic Literature Review
  The digitization of health records has greatly improved the efficiency of the healthcare system and promoted the formulation of related research and policies. However, the widespread application of advanced technologies such as electronic health records, genom…
  datacite Yuan, Zhang Si, Singh, Manmeet Mahinderjit 2025 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications
  With the rapid advancement of artificial intelligence and deep learning, medical image analysis has become a critical tool in modern healthcare, significantly improving diagnostic accuracy and efficiency. However, AI-based methods also raise serious privacy co…
  datacite Zhu, Yanming, Yin, Xuefei, Liew, Alan Wee-Chung, Tian, Hui 2024 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• EVALUATION OF PRIVACY-PRESERVING AI USING EDGE COMPUTING IN V2X FRAMEWORK
  The advent of Vehicle-to-Everything (V2X) communication has ushered in a new era of intelligent urban transportation systems, promising enhanced safety, efficiency, and connectivity. However, the extensive data sharing inherent in V2X networks poses significan…
  datacite Researcher 2024 置信度 0.66 Privacy-preserving AI, Edge computing, V2X communication, Intelligent transportation systems, Federated learning, Differential privacy, Homomorphic encryption, Data privacy, Real-time data processing, Decentralized computing
• EVALUATION OF PRIVACY-PRESERVING AI USING EDGE COMPUTING IN V2X FRAMEWORK
  The advent of Vehicle-to-Everything (V2X) communication has ushered in a new era of intelligent urban transportation systems, promising enhanced safety, efficiency, and connectivity. However, the extensive data sharing inherent in V2X networks poses significan…
  datacite Researcher 2024 置信度 0.66 Privacy-preserving AI, Edge computing, V2X communication, Intelligent transportation systems, Federated learning, Differential privacy, Homomorphic encryption, Data privacy, Real-time data processing, Decentralized computing
• AI/ML FOR DATA PRIVACY AND ENCRYPTION IN CLOUD COMPUTING
  As cloud computing becomes increasingly pervasive, ensuring data privacy and security remains a critical concern. Artificial intelligence (AI) and machine learning (ML) offer promising solutions for enhancing data privacy and developing advanced encryption tec…
  datacite Researcher 2024 置信度 0.66 Cloud Computing Security, AI/ML-Enhanced Encryption, Privacy-Preserving Algorithms, Homomorphic Encryption, Federated Learning
• AI/ML FOR DATA PRIVACY AND ENCRYPTION IN CLOUD COMPUTING
  As cloud computing becomes increasingly pervasive, ensuring data privacy and security remains a critical concern. Artificial intelligence (AI) and machine learning (ML) offer promising solutions for enhancing data privacy and developing advanced encryption tec…
  datacite Researcher 2024 置信度 0.66 Cloud Computing Security, AI/ML-Enhanced Encryption, Privacy-Preserving Algorithms, Homomorphic Encryption, Federated Learning
• Applications of Homomorphic Encryption in Secure Computation
  Homomorphic encryption represents a pivotal innovation in modern cryptography, offering a pathway to secure computation on encrypted data. In this paper, we embark on a comprehensive exploration of the applications of homomorphic encryption, aiming to elucidat…
  datacite MOLLAKUQE, ELISSA 2024 置信度 0.66 Computer EngineeringRisk AnalysisEngineering
• Data Security and Privacy in Transactive Energy Markets
  Innovation in power generation, storage, and information technology have created new opportunities in grid management. Advanced metering equipment and smart grid infrastructure enable energy providers to operate more efficiently and cost effectively through be…
  datacite Sousa-Dias, Daniel 2024 置信度 0.66 transactiveenergyblockchainsecurityprivacy
• Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey
  Networked systems are increasingly the target of cyberattacks that exploit vulnerabilities within digital communications, embedded hardware, and software. Arguably, the simplest class of attacks -- and often the first type before launching destructive integrit…
  datacite Yan, Xinhao, Zhou, Guanzhong, Quevedo, Daniel E., Murguia, Carlos 等 2024 置信度 0.66 Cryptography and Security (cs.CR)Systems and Control (eess.SY)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration
  As the integration of Internet of Things devices with cloud computing proliferates, the paramount importance of privacy preservation comes to the forefront. This survey paper meticulously explores the landscape of privacy issues in the dynamic intersection of …
  datacite Dhinakaran, D., Sankar, S. M. Udhaya, Selvaraj, D., Raja, S. Edwin 2024 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• A Review on Searchable Encryption Functionality and the Evaluation of Homomorphic Encryption
  Cloud Service Providers, such as Google Cloud Platform, Microsoft Azure, or Amazon Web Services, offer continuously evolving cloud services. It is a growing industry. Businesses, such as Netflix and PayPal, rely on the Cloud for data storage, computing power, …
  datacite Kishiyama, Brian, Alsmadi, Izzat 2023 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Lattices in Quantum-ERA Cryptography
  The use of Mathematic in cryptography can result a safe encryption scheme. Lattices have emerged as a powerful mathematical tool in the field of cryptography, offering a diverse set of applications ranging from encryption to secure multi-party computation. Thi…
  datacite John, Michael, Ozioma, Ogoegbulem, Obi, Perpetua Ngozi, Egbogho, Henry Etaroghene 等 2023 置信度 0.66
• Lattices in Quantum-ERA Cryptography
  The use of Mathematic in cryptography can result a safe encryption scheme. Lattices have emerged as a powerful mathematical tool in the field of cryptography, offering a diverse set of applications ranging from encryption to secure multi-party computation. Thi…
  datacite John, Michael, Ozioma, Ogoegbulem, Obi, Perpetua Ngozi, Egbogho, Henry Etaroghene 等 2023 置信度 0.66
• Large-Plaintext Functional Bootstrapping in FHE with Small Bootstrapping Keys
  Functional bootstrapping is a core technique in Fully Homomorphic Encryption (FHE). For large plaintext, to evaluate a general function homomorphically over a ciphertext, in the FHEW/TFHE approach, since the function in look-up table form is encoded in the coe…
  datacite Liu, Dengfa, Li, Hongbo 2023 置信度 0.66 Cryptography and Security (cs.CR)Differential Geometry (math.DG)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Mathematics
• Privacy-Preserving Hierarchical Anonymization Framework over Encrypted Data
  Smart cities, which can monitor the real world and provide smart services in a variety of fields, have improved people's living standards as urbanization has accelerated. However, there are security and privacy concerns because smart city applications collect …
  datacite Jia, Jing, Saito, Kenta, Nishi, Hiroaki 2023 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciencesE.3
• Applications of Finite non-Abelian Simple Groups to Cryptography in the Quantum Era
  The theory of finite simple groups is a (rather unexplored) area likely to provide interesting computational problems and modelling tools useful in a cryptographic context. In this note, we review some applications of finite non-abelian simple groups to crypto…
  datacite Vasco, María Isabel González, Kahrobaei, Delaram, McKemmie, Eilidh 2023 置信度 0.66 Group Theory (math.GR)Cryptography and Security (cs.CR)FOS: MathematicsFOS: MathematicsFOS: Computer and information sciences
• Data Privacy with Homomorphic Encryption in Neural Networks Training and Inference
  The use of Neural Networks (NNs) for sensitive data processing is becoming increasingly popular, raising concerns about data privacy and security. Homomorphic Encryption (HE) has the potential to be used as a solution to preserve data privacy in NN. This study…
  datacite Amorim, Ivone, Maia, Eva, Barbosa, Pedro, Praça, Isabel 2023 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Generating Synthetic Data in a Secure Federated General Adversarial Networks for a Consortium of Health Registries
  In this work, we review the architecture design of existing federated General Adversarial Networks (GAN) solutions and highlight the security and trust-related weaknesses in the existing designs. We then describe how these weaknesses make existing designs unsu…
  datacite Veeraragavan, Narasimha Raghavan, Nygård, Jan Franz 2022 置信度 0.66 Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciencesFOS: Computer and information sciences
• Comparative evaluation of different methods of "Homomorphic Encryption" and "Traditional Encryption" on a dataset with current problems and developments
  A database is a prime target for cyber-attacks as it contains confidential, sensitive, or protected information. With the increasing sophistication of the internet and dependencies on internet data transmission, it has become vital to be aware of various encry…
  datacite Patel, Tanvi S., Kolachina, Srinivasakranthikiran, Patel, Daxesh P., Shrivastav, Pranav S. 2022 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Comparison of encrypted control approaches and tutorial on dynamic systems using LWE-based homomorphic encryption
  Encrypted control has been introduced to protect controller data by encryption at the stage of computation and communication, by performing the computation directly on encrypted data. In this article, we first review and categorize recent relevant studies on e…
  datacite Kim, Junsoo, Kim, Dongwoo, Song, Yongsoo, Shim, Hyungbo 等 2022 置信度 0.66 Cryptography and Security (cs.CR)Systems and Control (eess.SY)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• E-Skin Resistive Strain Sensor: Optimum Sensor Placement; Applying Homomorphic Encryption as a Solution to Privacy Concerns in Artificial Intelligence-Based Medical Diagnostic Algorithms
  Essentially, my science, technology, and society (STS) and technical projects seek to effectively support innovation in the healthcare industry by evaluating the sociotechnical implications of cutting-edge clinical data collection and analysis procedures. Driv…
  datacite Zachary Holden 2022 置信度 0.66 E-SkinStrain SensorsWearable DevicesArtificial Intelligence (AI)Medical Diagnostics
• Quantum Advantage from Any Non-Local Game
  We show a general method of compiling any $k$-prover non-local game into a single-prover interactive game maintaining the same (quantum) completeness and (classical) soundness guarantees (up to negligible additive factors in a security parameter). Our compiler…
  datacite Kalai, Yael, Lombardi, Alex, Vaikuntanathan, Vinod, Yang, Lisa 2022 置信度 0.66 Quantum Physics (quant-ph)Cryptography and Security (cs.CR)FOS: Physical sciencesFOS: Physical sciencesFOS: Computer and information sciences
• A review of homomorphic encryption and software tools for encrypted statistical machine learning
  Recent advances in cryptography promise to enable secure statistical computation on encrypted data, whereby a limited set of operations can be carried out without the need to first decrypt. We review these homomorphic encryption schemes in a manner accessible …
  datacite Aslett, Louis J. M., Esperança, Pedro M., Holmes, Chris C. 2015 置信度 0.66 Machine Learning (stat.ML)Cryptography and Security (cs.CR)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Secure cloud computations: Description of (fully)homomorphic ciphers within the P-adic model of encryption
  In this paper we consider the description of homomorphic and fully homomorphic ciphers in the $p$-adic model of encryption. This model describes a wide class of ciphers, but certainly not all. Homomorphic and fully homomorphic ciphers are used to ensure the cr…
  datacite Khrennikov, Andrei, Yurova, Ekaterina 2016 置信度 0.66 Cryptography and Security (cs.CR)Symbolic Computation (cs.SC)FOS: Computer and information sciencesFOS: Computer and information sciences
• Security and Privacy Issues in Deep Learning
  To promote secure and private artificial intelligence (SPAI), we review studies on the model security and data privacy of DNNs. Model security allows system to behave as intended without being affected by malicious external influences that can compromise its i…
  datacite Bae, Ho, Jang, Jaehee, Jung, Dahuin, Jang, Hyemi 等 2018 置信度 0.66 Cryptography and Security (cs.CR)Machine Learning (cs.LG)Machine Learning (stat.ML)FOS: Computer and information sciencesFOS: Computer and information sciences
• Further Limitations on Information-Theoretically Secure Quantum Homomorphic Encryption
  In this brief note, we review and extend existing limitations on information-theoretically (IT) secure quantum fully homomorphic encryption (QFHE). The essential ingredient remains Nayak's bound, which provides a tradeoff between the number of homomorphically …
  datacite Newman, Michael 2018 置信度 0.66 Quantum Physics (quant-ph)FOS: Physical sciencesFOS: Physical sciences
• A Review of Homomorphic Encryption Libraries for Secure Computation
  In this paper we provide a survey of various libraries for homomorphic encryption. We describe key features and trade-offs that should be considered while choosing the right approach for secure computation. We then present a comparison of six commonly availabl…
  datacite Sathya, Sai Sri, Vepakomma, Praneeth, Raskar, Ramesh, Ramachandra, Ranjan 等 2018 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Computing Blindfolded on Data Homomorphically Encrypted under Multiple Keys: An Extended Survey
  New cryptographic techniques such as homomorphic encryption (HE) allow computations to be outsourced to and evaluated blindfolded in a resourceful cloud. These computations often require private data owned by multiple participants, engaging in joint evaluation…
  datacite Aloufi, Asma, Hu, Peizhao, Song, Yongsoo, Lauter, Kristin 2020 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification
  This work provides a comprehensive review of existing frameworks based on secure computing techniques in the context of private image classification. The in-depth analysis of these approaches is followed by careful examination of their performance costs, in pa…
  datacite Haralampieva, Veneta, Rueckert, Daniel, Passerat-Palmbach, Jonathan 2020 置信度 0.66 Cryptography and Security (cs.CR)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• A Synergistic Approach to Digital Privacy
  This paper outlines an approach for IEEE to take leadership for digital privacy to align many existing IEEE Societies and efforts in the areas of computer systems & applications security, organizational & global architectures, policy-supporting legisla…
  datacite Gorog, Christopher 2021 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation
  Facial phenotyping has recently been successfully exploited for medical diagnosis as a novel way to diagnose a range of diseases, where facial biometrics has been revealed to have rich links to underlying genetic or medical causes. In this paper, taking Parkin…
  datacite Jiang, Richard, Chazot, Paul, Crookes, Danny, Bouridane, Ahmed 等 2021 置信度 0.66 Artificial Intelligence (cs.AI)Cryptography and Security (cs.CR)Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• D1.2 System Architecture Definition
  This deliverable provides a specification of the conceptual architecture of the COLLABS platform. The COLLABS project aims at developing, demonstrating and supporting a comprehensive cyberintelligence framework for collaborative manufacturing, which enables th…
  datacite Srdjan Skrbic 2021 置信度 0.66 Artificial Intelligence & Decision support; Information Security Technologies; Automation; Industrial Internet of Things (IIoT); Industry4.0; manufacturing; edge-tocloud security; hardware-enabled security; machine learning; blockchain; behavioral analysis; accountability; trustworthiness
• D1.2 System Architecture Definition
  This deliverable provides a specification of the conceptual architecture of the COLLABS platform. The COLLABS project aims at developing, demonstrating and supporting a comprehensive cyberintelligence framework for collaborative manufacturing, which enables th…
  datacite Srdjan Skrbic 2021 置信度 0.66 Artificial Intelligence & Decision support; Information Security Technologies; Automation; Industrial Internet of Things (IIoT); Industry4.0; manufacturing; edge-tocloud security; hardware-enabled security; machine learning; blockchain; behavioral analysis; accountability; trustworthiness
• BLOCK CHAIN FORENSICS: A SYSTEMATIC REVIEW OF THE PROSPECTS
  Among the fastest-growing sectors, health care sector is most sought out one owing to the pandemic. During this pandemic the Healthcare sector is facing lot of complications inclusive of handling the medical record data and contact tracing. Coronavirus disease…
  datacite Indumathi J 2021 置信度 0.66 Anonymity, Autonomy, Block Chain, Block Chain Forensics, Decentralization, Delegated Proof-of-Stake (DPoS) ,Digital artifacts, Immutable, Open Source, Practical Byzantine Fault, Proof of Elapsed Time(PoET),Proof-of-Activity (PoA),Proof-of-Bum (PoB),Proof-of-Stake (PoS),Proof-of-Weight (Po Weight), Proof-of-Work (PoW),Transparency.
• BLOCK CHAIN FORENSICS: A SYSTEMATIC REVIEW OF THE PROSPECTS
  Among the fastest-growing sectors, health care sector is most sought out one owing to the pandemic. During this pandemic the Healthcare sector is facing lot of complications inclusive of handling the medical record data and contact tracing. Coronavirus disease…
  datacite Indumathi J 2021 置信度 0.66 Anonymity, Autonomy, Block Chain, Block Chain Forensics, Decentralization, Delegated Proof-of-Stake (DPoS) ,Digital artifacts, Immutable, Open Source, Practical Byzantine Fault, Proof of Elapsed Time(PoET),Proof-of-Activity (PoA),Proof-of-Bum (PoB),Proof-of-Stake (PoS),Proof-of-Weight (Po Weight), Proof-of-Work (PoW),Transparency.
• User-Centric Privacy Preservation Solution to Control Third Party Access in Digital Databases
  The world is changing rapidly as technology advancements. Today, everything is e-enabled and human-linked information is digitally stored in digital databases, files and so on. Information privacy is a human right but, many privacy breaching incidents prove th…
  datacite Tissera, Muditha, Thelijjagoda, Samantha, Goonathilake, Jeevani 2017 置信度 0.66 User-centric PrivacyDigital databasesThird party accessLimited publishing
• User-Centric Privacy Preservation Solution to Control Third Party Access in Digital Databases
  The world is changing rapidly as technology advancements. Today, everything is e-enabled and human-linked information is digitally stored in digital databases, files and so on. Information privacy is a human right but, many privacy breaching incidents prove th…
  datacite Tissera, Muditha, Thelijjagoda, Samantha, Goonathilake, Jeevani 2017 置信度 0.66 User-centric PrivacyDigital databasesThird party accessLimited publishing
• An ECSDA-based Security Approach on Blockchain for Cryptocurrency-based Online Transactions
  Blockchain is an inventive application model that coordinates agreement instruments, appropriated information stockpiling, highlight point transmission, computerized encryption innovation and numerous other PC advances. This paper investigates the issues that …
  datacite Md. Ismail Jabiullah, Kanij Nahar Arifa 2020 置信度 0.66 Elliptic curve, blockchain, cryptography, cryptocurrency, ring signature
• An ECSDA-based Security Approach on Blockchain for Cryptocurrency-based Online Transactions
  Blockchain is an inventive application model that coordinates agreement instruments, appropriated information stockpiling, highlight point transmission, computerized encryption innovation and numerous other PC advances. This paper investigates the issues that …
  datacite Md. Ismail Jabiullah, Kanij Nahar Arifa 2020 置信度 0.66 Elliptic curve, blockchain, cryptography, cryptocurrency, ring signature
• Homomorphic Encryption: Review and Applications
  crossref Ratnakumari Challa 2020-01-13T13:03:21Z 置信度 0.70
• A Comparative Review on Homomorphic Encryption for Cloud Security
  crossref Ganesh Kumar Mahato, Swarnendu Kumar Chakraborty 2021-08-20T00:34:23Z 置信度 0.70
• Hardware Acceleration of Fully Homomorphic Encryption: A Comprehensive Review of FPGA Implementations
  Although Fully Homomorphic Encryption (FHE) enables computation over encrypted data, its substantial computational and storage overhead remains a major obstacle to practical deployment. Among available hardware platforms, FPGAs offer a favorable balance of per…
  crossref Lingyu Gong, Farhad Merchant 2026-08-14T15:05:11Z 置信度 0.70
• Homomorphic Encryption Library, Framework, Toolkit and Accelerator: A Review
  crossref Shalini Dhiman, Ganesh Kumar Mahato, Swarnendu Kumar Chakraborty 2023-11-20T08:01:26Z 置信度 0.70
• Homomorphic Encryption for Secure Federated Learning: A PRISMA-Based Systematic Review
  Federated learning (FL) enables collaborative training without sharing raw data but remains vulnerable to privacy leakage, poisoned gradients, and incorrect aggregation. Homomorphic encryption (HE) supports secure aggregation over encrypted updates, yet existi…
  crossref Dinko Dinkov 2026-04-08T06:19:13Z 置信度 0.70
• HOMOMORPHIC ENCRYPTION IN 5IRE BLOCKCHAIN
  With the advent of blockchain technology, decentralized system is gaining huge popularity as it provides a new solution for data storage and sharing as well as keeping privacy in place. Blockchains are of two categories; public and private. Public blockchains …
  crossref VILMA MATTILA, PRATEEK DWIVEDI, PRATIK GAURI, MD AHBAB 2022-09-08T08:10:21Z 置信度 0.70
• From cloud computing security towards homomorphic encryption: A comprehensive review
  crossref Saja J. Mohammed, Dujan B. Taha 2021-08-10T15:38:05Z 置信度 0.70
• A trustworthy cloud environment using homomorphic encryption: a review
  crossref Z. Salman, W. M. Elmedany 2022-04-20T20:09:06Z 置信度 0.70
• Privacy-Preserving Finance Data Analysis Based on Homomorphic Encryption
  crossref Jung Hee Cheon, 어윤희, Kim jae yoon 2019-04-30T04:47:31Z 置信度 0.70
• A review of homomorphic encryption of data in cloud computing
  crossref Amit Chaturvedi, Akanksha Kapoor, Vikas Kumar 2017-03-23T07:52:02Z 置信度 0.70
• A systematic review of homomorphic encryption applications in Internet of Things
  crossref J. Abduljalil Jaffar, W. Elmedany 2023-04-25T20:11:41Z 置信度 0.70
• Secure Federated Learning with a Homomorphic Encryption Model
  Federated learning (FL) offers collaborative machine learning across decentralized devices while safeguarding data privacy. However, data security and privacy remain key concerns. This paper introduces "Secure Federated Learning with a Homomorphic Encryption M…
  crossref Nadia Hussien, Nadia Mahmood Hussien, Saba Abdulbaqi Salman, Mohammad Aljanabi 2023-11-01T03:43:24Z 置信度 0.70
• 未来の茶屋 / The Tea House of the Future: CollectiveOS Global Flagship & Open Science Hub — Tokyo
  未来の茶屋 / The Tea House of the Future: CollectiveOS Global Flagship & Open Science Hub — Tokyo Executive Summary This foundational white paper establishes the architectural, operational, and philosophical parameters for "The Tea House of the Future" (Mirai no Ch…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• 未来の茶屋 / The Tea House of the Future: CollectiveOS Global Flagship & Open Science Hub — Tokyo
  未来の茶屋 / The Tea House of the Future: CollectiveOS Global Flagship & Open Science Hub — Tokyo Executive Summary This foundational white paper establishes the architectural, operational, and philosophical parameters for "The Tea House of the Future" (Mirai no Ch…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• Anti-adversarial Learning: Desensitizing Prompts for Large Language Models
  With the widespread use of LLMs, preserving privacy in user prompts has become crucial, as prompts risk exposing privacy and sensitive data to the cloud LLMs. Traditional techniques like homomorphic encryption, secure multi-party computation, and federated lea…
  datacite Li, Xuan, Yin, Zhe, Gu, Xiaodong, Shen, Beijun 2025 置信度 0.66 Computation and Language (cs.CL)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• LaMoS: Enabling Efficient Large Number Modular Multiplication through SRAM-based CiM Acceleration
  Barrett's algorithm is one of the most widely used methods for performing modular multiplication, a critical nonlinear operation in modern privacy computing techniques such as homomorphic encryption (HE) and zero-knowledge proofs (ZKP). Since modular multiplic…
  datacite Li, Haomin, Liu, Fangxin, Guan, Chenyang, Wang, Zongwu 等 2025 置信度 0.66 Cryptography and Security (cs.CR)Hardware Architecture (cs.AR)FOS: Computer and information sciencesFOS: Computer and information sciences
• EP-HDC: Hyperdimensional Computing with Encrypted Parameters for High-Throughput Privacy-Preserving Inference
  While homomorphic encryption (HE) provides strong privacy protection, its high computational cost has restricted its application to simple tasks. Recently, hyperdimensional computing (HDC) applied to HE has shown promising performance for privacy-preserving ma…
  datacite Park, Jaewoo, Quan, Chenghao, Lee, Jongeun 2025 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Cheddar: A Swift Fully Homomorphic Encryption Library Designed for GPU Architectures
  Fully homomorphic encryption (FHE) frees cloud computing from privacy concerns by enabling secure computation on encrypted data. However, its substantial computational and memory overhead results in significantly slower performance compared to unencrypted proc…
  datacite Choi, Wonseok, Kim, Jongmin, Ahn, Jung Ho 2024 置信度 0.66 Cryptography and Security (cs.CR)Performance (cs.PF)FOS: Computer and information sciencesFOS: Computer and information sciences
• Hybrid Privacy-Preserving Federated Learning using Differential Privacy and Homomorphic Encryption for Healthcare IoT
  crossref Ramya B, Velliangiri Sarveshwaran 2026-06-23T19:43:46Z 置信度 0.70
• Dataflow-Oriented Classification and Performance Analysis of GPU-Accelerated Homomorphic Encryption
  crossref Ai Nozaki, Takuya Kojima, Hiroshi Nakamura, Hideki Takase 2026-08-20T19:05:05Z 置信度 0.70
• TRAFFIC MITIGATION AND VEHICLE DETECTION BASED ON HOMOMORPHIC ENCRYPTION ALGORITHM AND FUZZY COMPREHENSIVE EVALUATION. 150-161
  crossref Zihao Chen 2025-11-19T21:07:26Z 置信度 0.70
• Optimizing Homomorphic Encryption in Federated Learning with Zero-Skipping
  crossref Yoo-Bin Tae, Soo-Jeong Park, Geon-Ha Kim, Seung-Ho Lim 2026-03-27T19:47:50Z 置信度 0.70
• Performance Benchmarking of Homomorphic Encryption for Fingerprint Recognition
  crossref Eva Kupcova, Matus Pleva, Milos Drutarovsky, Velibor Došljak 2026-07-02T19:41:25Z 置信度 0.70
• Secure data processing with polynomial-based homomorphic encryption, binary transformation, and lossless compression
  crossref M. Sandhya, Krrish Yadav, Aditya Khanna 2026-03-30T20:14:06Z 置信度 0.70
• Differential Privacy And Homomorphic Encryption For Healthcare Data Protection
  There are serious worries about patient privacy, security, and regulatory compliance as a result of the exponential increase of sensitive patient data caused by the fast digitisation of healthcare systems. Electronic health records, predictive analytics, and A…
  crossref Shaurya Vir Singh Pathania, A. J. Singh 2026-05-30T07:08:25Z 置信度 0.70
• Securing named data networking (NDN) content: a quantum homomorphic encryption protocol
  Abstract Named data networking (NDN) supports receiver-driven content retrieval with stateful forwarding (pending interest table (PIT)/forwarding information base) and in-network caching, yet many deployments still rely on classical cryptography that may be un…
  crossref Jing Li, Cheng Zhang, XianMin Wang 2026-03-18T12:39:57Z 置信度 0.70
• PRISM: Privacy-preserving Inference System with Homomorphic Encryption and Modular Activation
  crossref Zeinab Elkhatib, Ali Sekmen, Kamrul Hasan 2026-02-04T20:45:15Z 置信度 0.70
• Quantum-Resistant Homomorphic Encryption for Secure Federated Learning in CubeSat Constellations for Real-Time Exoplanet Detection
  crossref 2026-06-23T10:34:59Z 置信度 0.70
• A Standardized Model for Homomorphic Encryption Implementation
  Homomorphic encryption (HE) is gradually gaining popularity. It ensures computation on encrypted data without compromising confidentiality. Despite its potential, the implementation of HE faces challenges. Notably among them is the lack of uniformity and stand…
  crossref George Asante 2026-05-01T07:31:44Z 置信度 0.70
• TMI-VFL: Secure Vertical Federated Learning via Threshold Multi-Identity Homomorphic Encryption
  Vertical Federated Learning (VFL) enables multiple participants to collaboratively train models using vertically partitioned data. However, during the actual training process, participants must exchange intermediate model representations(e.g., embeddings), whi…
  crossref Yuqing Song 2026-08-04T06:09:37Z 置信度 0.70
• Breast Cancer Classification Aided by Homomorphic Encryption
  crossref Kavitha T, Ishmita Menon, Shakthi Priya, Gauri Nair 等 2026-07-15T20:01:10Z 置信度 0.70
• Differentiated Graph-Aware Rescaling for Precise and Efficient Homomorphic Encryption
  crossref Lin Han, Jiahui Xu, Jianan Li, Lei Wang 等 2026-03-31T19:49:32Z 置信度 0.70
• Argmax and XGBoost Training over Fully Homomorphic Encryption
  Fully Homomorphic Encryption (FHE) is a promising solution to enable privacy-preserving inference and training of machine learning models over encrypted data. Among the machine learning methods used in practice, Extreme Gradient Boosting (XGBoost) is one techn…
  crossref Ramy Masalha, Adi Akavia, Allon Adir, Ehud Aharoni 等 2026-01-25T18:59:00Z 置信度 0.70
• CROPHE: Cross-Operator Dataflow Optimization for Fully Homomorphic Encryption Accelerators
  crossref Xinhua Chen, Jiangbin Dong, Hongren Zheng, Tian Tang 等 2026-03-04T20:47:22Z 置信度 0.70
• Research on the Design and Application of Homomorphic Encryption Privacy-Preserving k-means Clustering Algorithm for Cross-Institutional Collaborative Risk Control
  crossref 2026-05-25T08:31:38Z 置信度 0.70
• Secure Digital Kyc Framework using Blockchain Enabled Verification Credentials and Homomorphic Encryption
  crossref Dr.S.Praveena Rachel Kamala, Mahalakshmi R, Parkavi C 2026-05-18T19:44:46Z 置信度 0.70
• Federated Gated Recurrent Unit-Based Intrusion Detection with Homomorphic Encryption for IoT Cybersecurity
  crossref Jose Renita KJ, Haarish Raghavendra. M, D. Jerusha 2026-03-31T19:49:27Z 置信度 0.70
• Homomorphic Encryption: A Tool for Data Privacy Protection in Addressing Cybercrime Challenges in Nigeria
  crossref Lateef Gbolahan Salaudeen 2026-03-03T14:00:20Z 置信度 0.70
• PET for Personalized Exercise: Protecting Gymnasium Data Privacy with RSA Homomorphic Encryption
  crossref Raditya Wicaksono Prihatnoko, Aji Gautama Putrada, Khalis Sofi 2026-08-13T19:16:55Z 置信度 0.70
• Homomorphic Encryption: A Tool for Data Privacy Protection in Addressing Cybercrime Challenges in Nigeria
  crossref Lateef Gbolahan Salaudeen`````````` 2026-03-07T14:00:14Z 置信度 0.70
• Homomorphic encryption for modern data security: Case studies of IBM's comprehensive solutions and Zama's cutting-edge innovations for IoT
  crossref Gurunath R., Debabrata Samanta, Yashas G. Goutham 2025-12-05T20:27:22Z 置信度 0.70
• Attacking and Securing Hybrid Homomorphic Encryption Against Power Analysis
  crossref Aikata Aikata, Maciej Czuprynko, Nedžma Mušović, Emira Salkić 等 2026-06-04T19:53:10Z 置信度 0.70
• Reducing Noise Growth in BFV Homomorphic Encryption: An Improved Sampling Approach for Privacy Preserving Computation
  crossref Akshit Aggarwal, Srinibas Swain 2026-06-19T19:41:23Z 置信度 0.70
• TQKD: A More Efficient QKD Network Based on Homomorphic Encryption Technology
  crossref Tianhua Lin, Sijiang Xie, Yalong Yan, Jianguo Xie 等 2026-04-01T08:33:42Z 置信度 0.70
• Resource-aware hybrid homomorphic encryption scheduling for privacy-preserving edge intelligence
  crossref Hamid El Bouabidi, Mohamed El Ghmary, Mohamed Amnai 2026-08-06T10:10:02Z 置信度 0.70
• Securing vehicle network suspension control: lightweight homomorphic encryption with fuzzy rules
  crossref Zefeng Ding, Haili Tang, Xiaojuan Cao 2026-05-28T11:30:24Z 置信度 0.70
• Evaluation of Homomorphic Encryption Integration Strategies in Database Management Systems
  Homomorphic Encryption (HE) has emerged as a promising approach for data processing without exposing sensitive information. Despite significant advances, the practical strategies for the integration of HE into widely used database management systems (DBMSs) re…
  crossref Henrique Jorge, Cristina Wanzeller, João Henriques 2026-06-29T00:54:42Z 置信度 0.70
• Secure Data Aggregation for Digital Cousin Systems with Homomorphic Encryption and Integrity Verification
  We're seeing more and more heterogeneous IoT devices being deployed acrossdifferent networks these days, and they're generating massive amounts of distributed data,this creates new challenges for secure multi-source aggregation in edge intelligenceenvironments…
  crossref Jiasheng Hu 2026-06-01T07:22:45Z 置信度 0.70
• Homomorphic Encryption-Based NFT Copyright Protection for Digital Art
  The digital art industry faces critical challenges in copyright protection and privacy preservation that existing solutions fail to adequately address. Traditional digital watermarking techniques are vulnerable to removal attacks and cannot prevent unauthorize…
  crossref Shuang Yang, Sha Lyu, Chunjuan Zhao, Zifeng Luo 2026-01-30T02:24:22Z 置信度 0.70
• Privacy Preserving Multi-Keyword Search and Ranked Retrieval Using Homomorphic Encryption in Cloud Environment
  crossref Jasmine M S, Dhinakaran D 2026-06-08T19:49:38Z 置信度 0.70
• Secure E-Voting using Homomorphic Encryption: An Experimental Analysis and Findings
  crossref Swaraj Pal, Maroti Deshmukh, Sneha Chauhan 2026-07-09T13:00:14Z 置信度 0.70