PRIVACY-PRESERVING

作品数：232被引量：344H指数：9
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LMSA:A Lightweight Multi-Key Secure Aggregation Framework for Privacy-Preserving Healthcare AIoT
《Computer Modeling in Engineering & Sciences》2025年第4期827-847,共21页Hyunwoo Park Jaedong Lee 
supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.NRF-2022R1C1C2012463).
Integrating Artificial Intelligence of Things(AIoT)in healthcare offers transformative potential for real-time diagnostics and collaborative learning but presents critical challenges,including privacy preservation,com...
关键词：Secure aggregation LIGHTWEIGHT federated learning 
A Privacy-Preserving Graph Neural Network Framework with Attention Mechanism for Computational Offloading in the Internet of Vehicles
《Computer Modeling in Engineering & Sciences》2025年第4期225-254,共30页Aishwarya Rajasekar Vetriselvi Vetrian 
The integration of technologies like artificial intelligence,6G,and vehicular ad-hoc networks holds great potential to meet the communication demands of the Internet of Vehicles and drive the advancement of vehicle ap...
关键词：Internet of vehicles vehicular ad-hoc networks(VANET) multiaccess edge computing task offloading graph neural networks differential privacy 
SensFL:Privacy-Preserving Vertical Federated Learning with Sensitive Regularization
《Computer Modeling in Engineering & Sciences》2025年第1期385-404,共20页Chongzhen Zhang Zhichen Liu Xiangrui Xu Fuqiang Hu Jiao Dai Baigen Cai Wei Wang 
supported by Systematic Major Project of Shuohuang Railway Development Co.,Ltd.,National Energy Group(Grant Number:SHTL-23-31);Beijing Natural Science Foundation(U22B2027).
In the realm of Intelligent Railway Transportation Systems,effective multi-party collaboration is crucial due to concerns over privacy and data silos.Vertical Federated Learning(VFL)has emerged as a promising approach...
关键词：Vertical federated learning PRIVACY DEFENSES 
Practical Privacy-Preserving ROI Encryption System for Surveillance Videos Supporting Selective Decryption
《Computer Modeling in Engineering & Sciences》2024年第12期1911-1931,共21页Chan Hyeong Cho Hyun Min Song Taek-Young Youn 
supported by the Institute of Information and Communications Technology Planning and Evaluation (IITP)funded by the Korea Government (MIST),Development of Collection and Integrated Analysis Methods of Automotive Inter and Intra System Artifacts through Construction of Event-Based Experimental System,under RS-2022-II221022.
With the advancement of video recording devices and network infrastructure,we use surveillance cameras to protect our valuable assets.This paper proposes a novel system for encrypting personal information within recor...
关键词：Privacy de-identification selective decryption surveillance video 
Privacy-Preserving Large-Scale AI Models for Intelligent Railway Transportation Systems:Hierarchical Poisoning Attacks and Defenses in Federated Learning
《Computer Modeling in Engineering & Sciences》2024年第11期1305-1325,共21页Yongsheng Zhu Chong Liu Chunlei Chen Xiaoting Lyu Zheng Chen Bin Wang Fuqiang Hu Hanxi Li Jiao Dai Baigen Cai Wei Wang 
supported by Systematic Major Project of China State Railway Group Corporation Limited(Grant Number:P2023W002).
The development of Intelligent Railway Transportation Systems necessitates incorporating privacy-preserving mechanisms into AI models to protect sensitive information and enhance system efficiency.Federated learning o...
关键词：PRIVACY-PRESERVING intelligent railway transportation system federated learning poisoning attacks DEFENSES 
Privacy-Preserving Federated Deep Learning Diagnostic Method for Multi-Stage Diseases
《Computer Modeling in Engineering & Sciences》2024年第6期3085-3099,共15页Jinbo Yang Hai Huang Lailai Yin Jiaxing Qu Wanjuan Xie 
funded by the National Natural Science Foundation,China(No.62172123);the Key Research and Development Program of Heilongjiang(Grant No.2022ZX01A36);the Special Projects for the Central Government to Guide the Development of Local Science and Technology,China(No.ZY20B11);the Harbin Manufacturing Technology Innovation Talent Project(No.CXRC20221104236).
Diagnosing multi-stage diseases typically requires doctors to consider multiple data sources,including clinical symptoms,physical signs,biochemical test results,imaging findings,pathological examination data,and even ...
关键词：Vertical federation homomorphic encryption deep neural network intelligent diagnosis machine learning and big data 
A Survey on Blockchain-Based Federated Learning:Categorization,Application and Analysis
《Computer Modeling in Engineering & Sciences》2024年第6期2451-2477,共27页Yuming Tang Yitian Zhang Tao Niu Zhen Li Zijian Zhang Huaping Chen Long Zhang 
supported by High-performance Reliable Multi-Party Secure Computing Technology and Product Project for Industrial Internet No.TC220H056.
Federated Learning(FL),as an emergent paradigm in privacy-preserving machine learning,has garnered significant interest from scholars and engineers across both academic and industrial spheres.Despite its innovative ap...
关键词：Federated learning blockchain PRIVACY-PRESERVING 
A Cloud-Fog Enabled and Privacy-Preserving IoT Data Market Platform Based on Blockchain
《Computer Modeling in Engineering & Sciences》2024年第5期2237-2260,共24页Yurong Luo Wei You Chao Shang Xiongpeng Ren Jin Cao Hui Li 
supported by the National Key R&D Program of China(No.2022YFB3103400);the National Natural Science Foundation of China under Grants 61932015 and 62172317.
The dynamic landscape of the Internet of Things(IoT)is set to revolutionize the pace of interaction among entities,ushering in a proliferation of applications characterized by heightened quality and diversity.Among th...
关键词：IoT data sharing zero-knowledge proof authentication privacy preserving blockchain 
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