检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:Yi Li Wenying Zheng Yu-Sheng Su Meiqin Tang
机构地区:[1]School of Computer Science,Nanjing University of Information Science and Technology,Nanjing,210044,China [2]School of Computer Science and Technology(School of Artificial Intelligence),Zhejiang Sci-Tech University,Hangzhou,310018,China [3]Department of Computer Science and Information Engineering,National Chung Cheng University,Chiayi,621301,Taiwan,China [4]Advanced Institute of Manufacturing with High-tech Innovations,National Chung Cheng University,Chiayi,621301,Taiwan,China [5]Department of Computer Science and Engineering,National Taiwan Ocean University,Keelung,202301,Taiwan,China [6]School of Integrated Circuits,Wuxi Vocational College of Science and Technology,Wuxi,214028,China
出 处:《Computers, Materials & Continua》2025年第5期2719-2734,共16页计算机、材料和连续体(英文)
基 金:funded by the Taiwan Comprehensive University System and the National Science and Technology Council of Taiwan under grant number NSTC 111-2410-H-019-006-MY3;Additionally,this work was financially/partially supported by the Advanced Institute of Manufacturing with High-tech Innovations(AIM-HI)from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education(MOE)in Taiwan;the National Natural Science Foundation of China,No.62402444;the Zhejiang Provincial Natural Science Foundation of China,No.LQ24F020012.
摘 要:AI applications have become ubiquitous,bringing significant convenience to various industries.In e-commerce,AI can enhance product recommendations for individuals and provide businesses with more accurate predictions for market strategy development.However,if the data used for AI applications is damaged or lost,it will inevitably affect the effectiveness of these AI applications.Therefore,it is essential to verify the integrity of e-commerce data.Although existing Provable Data Possession(PDP)protocols can verify the integrity of cloud data,they are not suitable for e-commerce scenarios due to the limited computational capabilities of edge servers,which cannot handle the high computational overhead of generating homomorphic verification tags in PDP.To address this issue,we propose PDP with Outsourced Tag Generation for AI-driven e-commerce,which outsources the computation of homomorphic verification tags to cloud servers while introducing a lightweight verification method to ensure that the tags match the uploaded data.Additionally,the proposed scheme supports dynamic operations such as adding,deleting,and modifying data,enhancing its practicality.Finally,experiments show that the additional computational overhead introduced by outsourcing homomorphic verification tags is acceptable compared to the original PDP.
关 键 词:Provable data possession data auditing cloud computing E-COMMERCE bloom filter
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.49