隐私计算与数据要素 · 全部实体（第 15 / 100 页）

本页收录第 1401–1500 条，共 10000 条 · 返回 隐私计算与数据要素 首页

• Cryptanalysis on Lightweight Verifiable Homomorphic Encryption
  Verifiable Homomorphic Encryption (VHE) is a cryptographic technique that integrates Homomorphic Encryption (HE) with Verifiable Computation (VC). It serves as a crucial technology for ensuring both privacy and integrity in outsourced computation, where a clie…
  datacite Cheon, Jung Hee, Jang, Daehyun 2025 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption
  With the widespread adoption of cloud computing, the need for outsourcing statistical analysis to third-party platforms is growing rapidly. However, handling sensitive data such as medical records and financial information in cloud environments raises serious …
  datacite Choi, Hyunmin 2025 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• A Framework for Double-Blind Federated Adaptation of Foundation Models
  Foundation models (FMs) excel in zero-shot tasks but benefit from task-specific adaptation. However, privacy concerns prevent data sharing among multiple data owners, and proprietary restrictions prevent the learning service provider (LSP) from sharing the FM.…
  datacite Tastan, Nurbek, Nandakumar, Karthik 2025 置信度 0.66 Machine Learning (cs.LG)Cryptography and Security (cs.CR)Computer Vision and Pattern Recognition (cs.CV)Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciences
• Privacy-Preserving Image Classification Using Homomorphic Encryption and CNN
  crossref Liu Yushu 2026-01-14T20:36:55Z 置信度 0.70
• AMB-FHE: Adaptive Multi-Biometric Fusion with Fully Homomorphic Encryption
  crossref Florian Bayer, Christian Rathgeb 2025-08-15T18:11:50Z 置信度 0.70
• NGS-based threshold homomorphic encryption scheme without CRS
  crossref Xu Zhao, Zheng Yuan 2026-02-19T20:55:22Z 置信度 0.70
• Privacy-Preserving Secret Sharing using Fully Homomorphic Encryption
  crossref Adoum Youssouf, Abdramane Issa, Daouda Ahmat 2025-06-11T15:39:45Z 置信度 0.70
• PrivacyPreservingMedicalImageInferencePortal Using Homomorphic Encryption
  ThegrowingrelianceonAIfor medical image analysis presents importantprivacyriskswhen patient data is processed on external servers.To solve this problem, we suggest a Privacy-Preserving Medical Image Inference Portal that uses Homomorphic Encryption (HE) to kee…
  crossref Akhil Pa, Steephen MV, LavitaWilma Lobo 2025-12-26T07:40:13Z 置信度 0.70
• Face Recognition System using Fully Homomorphic Encryption
  crossref Talida Dîrnu, Vlad-Cristian Miclea 2026-03-13T19:51:37Z 置信度 0.70
• Experimental Validation of Resilient Homomorphic Encryption of Control Systems
  crossref Obaidullah Yadgar, Ping Zhang 2025-12-03T18:40:10Z 置信度 0.70
• Securing Diabetic Prediction with Federated Learning and Homomorphic Encryption
  crossref Deepthy K Bhaskar, Minimol B, Binu V P 2025-04-21T17:36:15Z 置信度 0.70
• Circuit Privacy for FHEW/TFHE-Style Fully Homomorphic Encryption in Practice
  A fully homomorphic encryption (FHE) scheme allows a client to encrypt and delegate its data to a server that performs computation on the encrypted data that the client can then decrypt. While FHE gives confidentiality to clients' data, it does not protect the…
  crossref Kamil Kluczniak 2025-01-13T17:00:52Z 置信度 0.70
• Research on Secure Cloud Storage of Mobile Office Data Based on Homomorphic Encryption
  crossref 2025-03-06T03:49:30Z 置信度 0.70
• Zero-Trust Blockchain Privacy Solution with Homomorphic Encryption
  crossref Niraj Upadhayaya, Pramod Kumar 2025-05-22T13:54:49Z 置信度 0.70
• Model-Free Adaptive Tracking Control Under Homomorphic Encryption Mechanism
  crossref Dewei Wang, Shuai Liu, Yong Zhang 2025-09-09T17:29:36Z 置信度 0.70
• Enhanced Video Watermarking Using Hybrid 2D-DWT, SVD, and Paillier Homomorphic Encryption
  crossref Khushboo Chhikara, Manoj Kumar 2025-08-12T17:51:39Z 置信度 0.70
• Towards Learning Vector Quantization in the Setting of Homomorphic Encryption
  crossref Thomas Davies, Ronny Schubert, Mandy Lange-Geisler, Klaus Dohmen 等 2025-04-15T14:43:24Z 置信度 0.70
• Study on asynchronous processing of IoT big data-based homomorphic encryption transmission using Raft algorithm
  IoT server-layer processing of heterogeneous data alleviates silos but incurs high resource costs. This study proposes shifting computational load to the edge layer to reduce server strain. Focusing on massive IoT deployments in non-ideal environments, it addr…
  crossref Liyuan He, Lanjiang Wu 2025-10-21T15:41:50Z 置信度 0.70
• Privacy-Preserving Medical Image Classification Using Homomorphic Encryption
  crossref Rakhi Bharadwaj, Priyanshi Patle, Bhagyesh Pawar, Nikita Pawar 等 2026-02-17T21:04:14Z 置信度 0.70
• Lightweight Homomorphic Encryption Transmission Protocol for Multimodal Physiological Sensor Data
  crossref Yifei Wang, Nuo Li 2026-01-22T20:58:23Z 置信度 0.70
• Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption
  crossref Moontaha Nishat Chowdhury, André Bauer, Minxuan Zhou 2025-10-07T17:34:49Z 置信度 0.70
• Federated learning enabled multi-key homomorphic encryption
  crossref Hemant Ramdas Kumbhar, S. Srinivasa Rao 2024-12-17T11:33:19Z 置信度 0.70
• A Unified Vector Processing Unit for Fully Homomorphic Encryption
  crossref Jiangbin Dong, Xinhua Chen, Mingyu Gao 2025-05-21T17:36:35Z 置信度 0.70
• Lightweight Multi-Key Homomorphic Encryption for Scalable Federated Learning
  crossref Himani Bhatt, Saurabh Rana, Mandeep Mittal 2026-03-31T19:49:08Z 置信度 0.70
• Strong-PUF-Based Identity Authentication Scheme Leveraging Homomorphic Encryption
  crossref Yikai Jiang, Bing Li, Tian Fang 2025-10-08T17:35:26Z 置信度 0.70
• Lattice-Based Post-Quantum Cryptography for Homomorphic Encryption
  crossref Abel C. H. Chen 2025-06-11T15:39:42Z 置信度 0.70
• FLASH: An Abstract Machine for Modelling Fully Homomorphic Encryption Accelerators
  crossref Alireza Tabatabaeian, Arrvindh Shriraman 2025-12-16T18:30:30Z 置信度 0.70
• Secure and Interpretable Dyslexia Detection Using Homomorphic Encryption and SHAP-Based Explanations
  crossref Mhd Raja Abou Harb, Baris Celiktas, Gunet Eroglu 2025-12-08T18:38:51Z 置信度 0.70
• Quantum delegated and federated learning via quantum homomorphic encryption
  Abstract Quantum learning models hold the potential to bring computational advantages over the classical realm. As powerful quantum servers become available on the cloud, ensuring the protection of clients’ private data becomes crucial. By incorporating quantu…
  crossref Weikang Li, Dong-Ling Deng 2025-02-04T01:45:37Z 置信度 0.70
• A data privacy protection method for infectious disease prediction models with balanced training speed and accuracy.
  europepmc 2026 置信度 0.80
• Federated Security for Privacy Preservation of Healthcare Data in Edge-Cloud Environments.
  europepmc 2025 置信度 0.80
• Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models.
  europepmc 2026 置信度 0.80
• Fine-Grained Personalized Data Aggregation Scheme with High Quality and Privacy Protection.
  europepmc 2025 置信度 0.80
• Privacy preservation in diabetic disease prediction using federated learning based on efficient cross stage recurrent model.
  europepmc 2025 置信度 0.80
• SecuFL-IoT: an adaptive privacy-preserving federated learning framework for anomaly detection in smart industrial networks.
  europepmc 2026 置信度 0.80
• A Blockchain-Based Secure Data Transaction and Privacy Preservation Scheme in IoT System.
  europepmc 2025 置信度 0.80
• Secure Hierarchical Asynchronous Federated Learning with Shuffle Model and Mask-DP.
  europepmc 2026 置信度 0.80
• A multidimensional, efficient, and secure data query based on privacy preservation in vehicular ad hoc networks.
  europepmc 2025 置信度 0.80
• Light weight blockchain with IoT devices to secure smart non-fungible tokens using hybrid secure functions.
  europepmc 2025 置信度 0.80
• Blended clustering energy efficient routing and PUF based authentication in IoT enabled smart agriculture systems.
  europepmc 2025 置信度 0.80
• Interpretable Rotation-Equivariant Multiary-Valued Network for Attribute Obfuscation.
  europepmc 2025 置信度 0.80
• Multi-layer encrypted learning for distributed healthcare analytics.
  europepmc 2025 置信度 0.80
• DARTPHROG: A Superscalar Homomorphic Accelerator.
  europepmc 2025 置信度 0.80
• A secure and explainable multimodal biometric system using trust adaptive fusion for face and fingerprint.
  europepmc 2026 置信度 0.80
• Privacy-Preserving Opt-Out from Homomorphically Encrypted Clinical Trials.
  europepmc 2025 置信度 0.80
• Privacy-preserving AUC computation in distributed machine learning with PHT-meDIC.
  europepmc 2025 置信度 0.80
• A secure multi phase authentication protocol for cloud infrastructure using elliptic curve cryptography.
  europepmc 2025 置信度 0.80
• Optimizing Proof-of-Work for Secure Health Data Blockchain Using Compute Unified Device Architecture.
  europepmc 2025 置信度 0.80
• Smart battery management in EVs using IoT, blockchain, and machine learning.
  europepmc 2025 置信度 0.80
• Secure latent Dirichlet allocation.
  europepmc 2025 置信度 0.80
• Editorial: Theoretical advances and practical applications of spiking neural networks, volume II.
  europepmc 2026 置信度 0.80
• BHFVAL: Block chain-Enabled Hierarchical Federated Variational Auto encoder Framework for Secure Intrusion Detection in Vehicular Networks.
  europepmc 2025 置信度 0.80
• Enhancing student data privacy in virtual learning with blockchain and advanced encryption.
  europepmc 2026 置信度 0.80
• Data-derived Identity Verification as a principle for the dissemination, harmonization, and artificial intelligence reuse of sensitive biomedical data.
  europepmc 2026 置信度 0.80
• COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data.
  europepmc 2025 置信度 0.80
• Applications of machine learning and deep learning in precision medicine: Opportunities and challenges in genomics, oncology and clinical integration (Review).
  With the advancement of precision medicine, machine learning (ML) and deep learning have increasingly become a pivotal tool for driving medical innovation. Precision medicine, grounded in individual variability, aims to deliver personalized treatment intervent…
  europepmc 2025 置信度 0.80
• Parametric action of homomorphic image of modular group and it's application in image encryption.
  europepmc 2026 置信度 0.80
• FORESEE: Fully Outsourced secuRe gEnome Study basEd on homomorphic Encryption.
  The increasing availability of genome data motivates massive research studies in personalized treatment and precision medicine. Public cloud services provide a flexible way to mitigate the storage and computation burden in conducting genome-wide association st…
  pubmed Zhang Y, Dai W, Jiang X, Xiong H 等 2015 置信度 0.82
• Private genome analysis through homomorphic encryption.
  The rapid development of genome sequencing technology allows researchers to access large genome datasets. However, outsourcing the data processing o the cloud poses high risks for personal privacy. The aim of this paper is to give a practical solution for this…
  pubmed Kim M, Lauter K 2015 置信度 0.82
• Privacy-preserving genome-wide association studies on cloud environment using fully homomorphic encryption.
  Developed sequencing techniques are yielding large-scale genomic data at low cost. A genome-wide association study (GWAS) targeting genetic variations that are significantly associated with a particular disease offers great potential for medical improvement. H…
  pubmed Lu WJ, Yamada Y, Sakuma J 2015 置信度 0.82
• Privacy-preserving search for chemical compound databases.
  Searching for similar compounds in a database is the most important process for in-silico drug screening. Since a query compound is an important starting point for the new drug, a query holder, who is afraid of the query being monitored by the database server,…
  pubmed Shimizu K, Nuida K, Arai H, Mitsunari S 等 2015 置信度 0.82
• Data Division Scheme Based on Homomorphic Encryption in WSNs for Health Care.
  The use of wireless sensor networks for wearable computing in health care is growing quickly. Numerous applications are already in use, such as blood pressure monitors and heart rate monitors. As such, it is very important for system designers to consider how …
  pubmed Wang X, Zhang Z 2015 Dec 置信度 0.82
• Secure Data Aggregation with Fully Homomorphic Encryption in Large-Scale Wireless Sensor Networks.
  With the rapid development of wireless communication technology, sensor technology, information acquisition and processing technology, sensor networks will finally have a deep influence on all aspects of people's lives. The battery resources of sensor nodes sh…
  pubmed Li X, Chen D, Li C, Wang L 2015 Jul 3 置信度 0.82
• PRECISE:PRivacy-prEserving Cloud-assisted quality Improvement Service in hEalthcare.
  Quality improvement (QI) requires systematic and continuous efforts to enhance healthcare services. A healthcare provider might wish to compare local statistics with those from other institutions in order to identify problems and develop intervention to improv…
  pubmed Chen F, Wang S, Mohammed N, Cheng S 等 2014 Oct 置信度 0.82
• Logsum using Garbled Circuits.
  Secure multiparty computation allows for a set of users to evaluate a particular function over their inputs without revealing the information they possess to each other. Theoretically, this can be achieved using fully homomorphic encryption systems, but so far…
  pubmed Portêlo J, Raj B, Trancoso I 2015 置信度 0.82
• Cloud-based privacy-preserving remote ECG monitoring and surveillance.
  The number of technical solutions for monitoring patients in their daily activities is expected to increase significantly in the near future. Blood pressure, heart rate, temperature, BMI, oxygen saturation, and electrolytes are few of the physiologic factors t…
  pubmed Page A, Kocabas O, Soyata T, Aktas M 等 2015 Jul 置信度 0.82
• A Regev-type fully homomorphic encryption scheme using modulus switching.
  A critical challenge in a fully homomorphic encryption (FHE) scheme is to manage noise. Modulus switching technique is currently the most efficient noise management technique. When using the modulus switching technique to design and implement a FHE scheme, how…
  pubmed Chen Z, Wang J, Chen L, Song X 2014 置信度 0.82
• Private predictive analysis on encrypted medical data.
  Increasingly, confidential medical records are being stored in data centers hosted by hospitals or large companies. As sophisticated algorithms for predictive analysis on medical data continue to be developed, it is likely that, in the future, more and more co…
  pubmed Bos JW, Lauter K, Naehrig M 2014 Aug 置信度 0.82
• A secure-enhanced data aggregation based on ECC in wireless sensor networks.
  Data aggregation is an important technique for reducing the energy consumption of sensor nodes in wireless sensor networks (WSNs). However, compromised aggregators may forge false values as the aggregated results of their child nodes in order to conduct stealt…
  pubmed Zhou Q, Yang G, He L 2014 Apr 11 置信度 0.82
• Minutiae matching with privacy protection based on the combination of garbled circuit and homomorphic encryption.
  Biometrics plays an important role in authentication applications since they are strongly linked to holders. With an increasing growth of e-commerce and e-government, one can expect that biometric-based authentication systems are possibly deployed over the ope…
  pubmed Li M, Feng Q, Zhao J, Yang M 等 2014 置信度 0.82
• FRR: fair remote retrieval of outsourced private medical records in electronic health networks.
  Cloud computing is emerging as the next-generation IT architecture. However, cloud computing also raises security and privacy concerns since the users have no physical control over the outsourced data. This paper focuses on fairly retrieving encrypted private …
  pubmed Wang H, Wu Q, Qin B, Domingo-Ferrer J 2014 Aug 置信度 0.82
• Discrete wavelet transform and data expansion reduction in homomorphic encrypted domain.
  Signal processing in the encrypted domain is a new technology with the goal of protecting valuable signals from insecure signal processing. In this paper, we propose a method for implementing discrete wavelet transform (DWT) and multiresolution analysis (MRA) …
  pubmed Zheng P, Huang J 2013 Jun 置信度 0.82
• Image feature extraction in encrypted domain with privacy-preserving SIFT.
  Privacy has received considerable attention but is still largely ignored in the multimedia community. Consider a cloud computing scenario where the server is resource-abundant, and is capable of finishing the designated tasks. It is envisioned that secure medi…
  pubmed Hsu CY, Lu CS, Pei SC 2012 Nov 置信度 0.82
• Fingerprinting protocol for images based on additive homomorphic property.
  Homomorphic property of public-key cryptosystems is applied for several cryptographic protocols, such as electronic cash, voting system, bidding protocols, etc. Several fingerprinting protocols also exploit the property to achieve an asymmetric system. However…
  pubmed Kuribayashi M, Tanaka H 2005 Dec 置信度 0.82
• Towards Scalable Fuzzy PSI via Efficient Fuzzy Matching
  In fuzzy private set intersection (fuzzy PSI), there are two parties, a sender holding a set of $d$-dimensional points $Q = \{\vecq_1, \ldots, \vecq_m\}$ and a receiver holding a set $W = \{\vecw_1, \ldots, \vecw_n\}$ of the same structure. It enables the rece…
  datacite Hao, Meng, Yang, Xinpeng, Chen, Hanxiao, Zhang, Tianwei 等 2026 置信度 0.66
• Towards Scalable Fuzzy PSI via Efficient Fuzzy Matching
  In fuzzy private set intersection (fuzzy PSI), there are two parties, a sender holding a set of $d$-dimensional points $Q = \{\vecq_1, \ldots, \vecq_m\}$ and a receiver holding a set $W = \{\vecw_1, \ldots, \vecw_n\}$ of the same structure. It enables the rece…
  datacite Hao, Meng, Yang, Xinpeng, Chen, Hanxiao, Zhang, Tianwei 等 2026 置信度 0.66
• Towards Scalable Fuzzy PSI via Efficient Fuzzy Matching
  In fuzzy private set intersection (fuzzy PSI), there are two parties, a sender holding a set of $d$-dimensional points $Q = \{\vecq_1, \ldots, \vecq_m\}$ and a receiver holding a set $W = \{\vecw_1, \ldots, \vecw_n\}$ of the same structure. It enables the rece…
  datacite Hao, Meng, Yang, Xinpeng, Chen, Hanxiao, Zhang, Tianwei 等 2026 置信度 0.66
• A Privacy-Preserving Explainable Artificial Intelligence Hybrid Framework for Abnormal Network Traffic Identification and Intelligent Threat Detection
  Abstract The rapid evolution of cyber threats, the widespread adoption of encrypted communications, and the increasing complexity of enterprise, cloud, edge, and Internet of Things (IoT) environments have exposed the limitations of conventional intrusion detec…
  datacite D. A. Onuma, D. Matthias, O. E. Taylor, N. D. Nwiabu 2026 置信度 0.66 Hybrid Artificial Intelligence, Abnormal Network Traffic Identification, Intelligent Threat Detection, Intrusion Detection System, LSTM, Transformer, Random Forest, Explainable Artificial Intelligence, CKKS Homomorphic Encryption, Zero-Day Attack Detection
• A Review Of Cryptographic Solutions And Forensic Readiness In IoT And Network Security
  In today's digital environment, the swift advancement of interconnected technologies has raised significant worries about data safety, privacy, and reliability. The Internet of Things (IoT), networking systems, and cloud services produce and transfer large qua…
  datacite Muhammad Ahmad, Hua Zhou, Tanzeela Bibi, Haider Ali 2026 置信度 0.66
• A Review Of Cryptographic Solutions And Forensic Readiness In IoT And Network Security
  In today's digital environment, the swift advancement of interconnected technologies has raised significant worries about data safety, privacy, and reliability. The Internet of Things (IoT), networking systems, and cloud services produce and transfer large qua…
  datacite Muhammad Ahmad, Hua Zhou, Tanzeela Bibi, Haider Ali 2026 置信度 0.66
• Privacy-Preserving Deep Learning
  Deep learning's reliance on large datasets creates fundamental tension with privacy requirements: models trained onsensitive data can memorise and leak individual training examples through model outputs, gradients, or learnedparameters. This study presents a c…
  datacite Ivan Novak, Nina Nowak, Ivan Schmidt 2023 置信度 0.66 differential privacy; DP-SGD; membership inference; federated learning; homomorphic encryption; PATE framework; synthetic data; privacy-utility trade-off
• Privacy-Preserving Deep Learning
  Deep learning's reliance on large datasets creates fundamental tension with privacy requirements: models trained onsensitive data can memorise and leak individual training examples through model outputs, gradients, or learnedparameters. This study presents a c…
  datacite Ivan Novak, Nina Nowak, Ivan Schmidt 2023 置信度 0.66 differential privacy; DP-SGD; membership inference; federated learning; homomorphic encryption; PATE framework; synthetic data; privacy-utility trade-off
• Multi-Metric Benchmarking Framework for Hybrid Homomorphic Encryption in Privacy-Preserving Machine Learning
  ABSTRACT Privacy-Preserving Machine Learning (PPML) using Homomorphic Encryption (HE) provides strong data confidentiality but suffers from high computational and energy overhead. Hybrid Homomorphic Encryption (HHE) reduces this cost, yet existing evaluations …
  datacite Umar, S., Zayyanu, U., Ibrahim, A., Bakura, S. A. 等 2025 置信度 0.66
• Multi-Metric Benchmarking Framework for Hybrid Homomorphic Encryption in Privacy-Preserving Machine Learning
  ABSTRACT Privacy-Preserving Machine Learning (PPML) using Homomorphic Encryption (HE) provides strong data confidentiality but suffers from high computational and energy overhead. Hybrid Homomorphic Encryption (HHE) reduces this cost, yet existing evaluations …
  datacite Umar, S., Zayyanu, U., Ibrahim, A., Bakura, S. A. 等 2025 置信度 0.66
• Trustworthy Foundation Model-Based Multimodal Biometric Authentication for Secure and Privacy-Preserving Intelligent Systems Using Face, Ear Lobe, and Iris
  The increasing deployment of intelligent systems in banking, healthcare and critical infrastructure emphasizes the need for authentication procedures that are accurate, spoofing-robust, and privacy-preserving. In this paper, we propose a Trustworthy Foundation…
  datacite SHANMUGAMANI, ARUNARANI 2026 置信度 0.66 Multimodal biometrics
• Trustworthy Foundation Model-Based Multimodal Biometric Authentication for Secure and Privacy-Preserving Intelligent Systems Using Face, Ear Lobe, and Iris
  The increasing deployment of intelligent systems in banking, healthcare and critical infrastructure emphasizes the need for authentication procedures that are accurate, spoofing-robust, and privacy-preserving. In this paper, we propose a Trustworthy Foundation…
  datacite SHANMUGAMANI, ARUNARANI 2026 置信度 0.66 Multimodal biometrics
• BlindTranspiler
  Blind quantum computation (BQC) allows a limited-capability client to perform complex quantum computation on a remote server without revealing input, output, or computation. This primitive solves a problem in cryptography called 'Secure Delegated Computation'.…
  datacite Joshi, Mohit, Mishra, Manoj Kumar, S., Karthikeyan 2026 置信度 0.66
• BlindTranspiler
  Blind quantum computation (BQC) allows a limited-capability client to perform complex quantum computation on a remote server without revealing input, output, or computation. This primitive solves a problem in cryptography called 'Secure Delegated Computation'.…
  datacite Joshi, Mohit, Mishra, Manoj Kumar, S., Karthikeyan 2026 置信度 0.66
• The Zero-Knowledge Web Server (ZKWS): A Paradigm Shift in Stateless Infrastructure and Epistemic Privacy
  Abstract: This working paper introduces the Zero-Knowledge Web Server (ZKWS), a transformative infrastructure-layer protocol designed to eliminate the "Oracle Fallacy" inherent in modern web architectures. While current security standards like TLS/SSL protect …
  datacite Siddiqui, Jameel Ahmed 2026 置信度 0.66 Zero-Knowledge Web ServerZKWSData SovereigntyModel CollapseSDCI
• The Zero-Knowledge Web Server (ZKWS): A Paradigm Shift in Stateless Infrastructure and Epistemic Privacy
  Abstract: This working paper introduces the Zero-Knowledge Web Server (ZKWS), a transformative infrastructure-layer protocol designed to eliminate the "Oracle Fallacy" inherent in modern web architectures. While current security standards like TLS/SSL protect …
  datacite Siddiqui, Jameel Ahmed 2026 置信度 0.66 Zero-Knowledge Web ServerZKWSData SovereigntyModel CollapseSDCI
• IoMT Encryption Simulation: Version 2.0.0
  Version 2.0.0 is the final archived release of the IoMT Encryption Simulation used for the doctoral dissertation: Examining Simulated Homomorphic Encryption on Data Transmissions of Always-Operating Internet of Medical Things This release contains the final Py…
  datacite Anderson, Devin 2026 置信度 0.66 IoMTInternet of Medical ThingsEncryptionRSA-SHESimulated Homomorphic Encryption
• IoMT Encryption Simulation: Version 2.0.0
  Version 2.0.0 is the final archived release of the IoMT Encryption Simulation used for the doctoral dissertation: Examining Simulated Homomorphic Encryption on Data Transmissions of Always-Operating Internet of Medical Things This release contains the final Py…
  datacite Anderson, Devin 2026 置信度 0.66 IoMTInternet of Medical ThingsEncryptionRSA-SHESimulated Homomorphic Encryption
• Postmodern Physics of Hamzah Information.(133)
  تحلیل بنیادین و بازنویسی تانسوریِ نظریه کدگذاری (Coding Theory) در چارچوب فیزیک اطلاعات حمزه (HIP-1155) بر اساس پروتکل جامع ۱۰ مرحله‌ای ۱. مقدمه: پارادوکسِ فاجعه محاسباتی رمزگشایی در کانال‌های فوق‌متراکم در نظریه کدگذاری کلاسیک (برگرفته از مبانی شانون و نظریه …
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Postmodern Physics of Hamzah Information.(133)
  تحلیل بنیادین و بازنویسی تانسوریِ نظریه کدگذاری (Coding Theory) در چارچوب فیزیک اطلاعات حمزه (HIP-1155) بر اساس پروتکل جامع ۱۰ مرحله‌ای ۱. مقدمه: پارادوکسِ فاجعه محاسباتی رمزگشایی در کانال‌های فوق‌متراکم در نظریه کدگذاری کلاسیک (برگرفته از مبانی شانون و نظریه …
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Postmodern Physics of Hamzah Information.(133)
  تحلیل بنیادین و بازنویسی تانسوریِ نظریه کدگذاری (Coding Theory) در چارچوب فیزیک اطلاعات حمزه (HIP-1155) بر اساس پروتکل جامع ۱۰ مرحله‌ای ۱. مقدمه: پارادوکسِ فاجعه محاسباتی رمزگشایی در کانال‌های فوق‌متراکم در نظریه کدگذاری کلاسیک (برگرفته از مبانی شانون و نظریه …
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Postmodern Physics of Hamzah Information.(130)
  تحلیل بنیادین و بازنویسی تانسوریِ «ارکان چهارگانهٔ محاسبات فرین: پیچیدگی کوانتومی، رمزنگاری شبکه، نظریه کدگذاری و ترکیبیات فرین» در چارچوب فیزیک اطلاعات حمزه (HIP-1155) بر اساس پروتکل جامع ۱۰ مرحله‌ای ۱. مقدمه: بن‌بست آکادمیک در مرزهای محاسباتی و رمزنگاری پسا-…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Postmodern Physics of Hamzah Information.(130)
  تحلیل بنیادین و بازنویسی تانسوریِ «ارکان چهارگانهٔ محاسبات فرین: پیچیدگی کوانتومی، رمزنگاری شبکه، نظریه کدگذاری و ترکیبیات فرین» در چارچوب فیزیک اطلاعات حمزه (HIP-1155) بر اساس پروتکل جامع ۱۰ مرحله‌ای ۱. مقدمه: بن‌بست آکادمیک در مرزهای محاسباتی و رمزنگاری پسا-…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• LUNA+: More Succinct Post-Quantum ZK-SNARKs from Computational Privacy
  LUNA+ is the successor to LUNA, providing a more efficient and succinct post-quantum ZK-SNARG construction based on computational privacy. This repository contains the C++ implementation of the Half-GSW vector encryption scheme used in the paper LUNA+: More Su…
  datacite Kume, Yuki, Steinfeld, Ron, Sakzad, Amin, Yassi, Mert 2026 置信度 0.66
• LUNA+: More Succinct Post-Quantum ZK-SNARKs from Computational Privacy
  LUNA+ is the successor to LUNA, providing a more efficient and succinct post-quantum ZK-SNARG construction based on computational privacy. This repository contains the C++ implementation of the Half-GSW vector encryption scheme used in the paper LUNA+: More Su…
  datacite Kume, Yuki, Steinfeld, Ron, Sakzad, Amin, Yassi, Mert 2026 置信度 0.66
• 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