Results 21 to 30 of about 382 (156)
Key-exposure resilient integrity auditing scheme with encrypted data deduplication
Tongxin xuebao, 2019 For the problems of key-exposure,encrypted data duplication and integrity auditing in cloud data storage,a public auditing scheme was proposed to support key update and encrypted data deduplication.Utilizing Bloom filters,the proposed scheme could ...
Xiangsong ZHANG, Chen LI, Zhenhua LIU
doaj +2 more sources
Centralized Duplicate Removal Video Storage System with Privacy Preservation in IoT
Sensors, 2018 In recent years, the Internet of Things (IoT) has found wide application and attracted much attention. Since most of the end-terminals in IoT have limited capabilities for storage and computing, it has become a trend to outsource the data from local to ...
Hongyang Yan +3 more
doaj +1 more source
The Journal of World Intellectual Property, EarlyView.Abstract This article analyses the Court of Justice of the European Union's first referral on generative AI and copyright, i.e., Case C‐250/25 Like Company v. Google, which interrogates whether the generation of chatbot summaries of press articles infringes the press publishers' right under Article 15 CDSM Directive and the reproduction and ...
Enrico Bonadio +5 more
wiley +1 more source
Key-customizable encrypted deduplication with access control for cloud storage
网络与信息安全学报With the rapid development and application of the Internet, traditional storage resources have been found unable to meet the growing demand for massive data storage.
Bolun GU, Zikai XU, Weihai LI, Nenghai YU
doaj +3 more sources
A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.A comprehensive overview of Federated and Incremental Learning (FIL) integration in Spatial Crowdsourcing, highlighting privacy, security, adaptability, efficiency challenges, and future research directions. ABSTRACT Spatial Crowdsourcing (SC) coordinates workers and requesters through personal mobile devices to complete location‐dependent tasks in ...
Md Mujibur Rahman +3 more
wiley +1 more source
Secure Cloud Data Deduplication with Efficient Re-Encryption
IEEE Transactions on Services Computing, 2022 Data deduplication technique has been widely adopted by commercial cloud storage providers, which is important in coping with the explosive growth of data. To further protect the security of users' sensitive data in the outsourced storage mode, many secure data deduplication schemes have been designed and applied in various scenarios.
Haoran Yuan +5 more
openaire +3 more sources
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.Seven‐stage AI‐powered voice biomarker pipeline for neurodegenerative disease diagnosis and clinical decision support. ABSTRACT Recent studies have shown that voice analysis provides a feasible, non‐invasive diagnostic alternative for the early detection of neurodegenerative diseases (NDs), such as Parkinson's disease (PD) and Amyotrophic Lateral ...
Abdulazeez Mousa +3 more
wiley +1 more source
Authorized Deduplication of Encrypted data in Cloud
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020 Cloud computing technology is rapidly developing nowadays. The number of files stored and processed is increasing per day. This increase brings severe challenge in requirement of space, processing power and bandwidth. More than half of the data generated in the cloud is duplicate data.
Waghmare, Prof. Milind B. +1 more
openaire +1 more source
Security control scheme for cloud data copy based on differential privacy model
网络与信息安全学报, 2017 In cloud computing environment,adversary may use data deduplication as a side channel to eavesdrop users’ privacy.In order to tackle this serious issue,a secure copy number control scheme was proposed.The highlights of the proposed scheme lie in ...
Jun REN,Jin-bo XIONG,Zhi-qiang YAO
doaj +3 more sources
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source