典型文献
A classification-based privacy-preserving decision-making for secure data sharing in Internet of Things assisted applications
文献摘要：
The introduction of the Internet of Things(IoT)paradigm serves as pervasive resource access and sharing platform for different real-time applications.Decentralized resource availability,access,and allocation provide a better quality of user experience regardless of the application type and scenario.However,privacy remains an open issue in this ubiquitous sharing platform due to massive and replicated data availability.In this paper,privacy-preserving decision-making for the data-sharing scheme is introduced.This scheme is responsible for improving the security in data sharing without the impact of replicated resources on communicating users.In this scheme,classification learning is used for identifying replicas and accessing granted resources independently.Based on the trust score of the available resources,this classification is recurrently performed to improve the reliability of information sharing.The user-level decisions for information sharing and access are made using the classification of the resources at the time of availability.This proposed scheme is verified using the metrics access delay,success ratio,computation complexity,and sharing loss.
文献关键词：
中图分类号：
作者姓名：
Alaa Omran Almagrabi;A.K.Bashir
作者机构：
Department of Information Systems,Faculty of Computing and Information Technology(FCIT),King Abdulaziz University,Jeddah,21589,Saudi Arabia;Department of Computing and Mathematics,Manchester Metropolitan University,Manchester,UK
文献出处：
引用格式：
[1]Alaa Omran Almagrabi;A.K.Bashir-.A classification-based privacy-preserving decision-making for secure data sharing in Internet of Things assisted applications)[J].数字通信与网络（英文）,2022(04):436-445
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B类：
classification,privacy,preserving,making,secure,data,sharing,Internet,Things,assisted,applications,introduction,IoT,paradigm,serves,pervasive,platform,different,real,Decentralized,availability,allocation,provide,better,quality,experience,regardless,type,scenario,However,remains,open,issue,this,ubiquitous,due,massive,replicated,paper,scheme,introduced,This,responsible,improving,security,without,impact,resources,communicating,users,learning,used,identifying,replicas,accessing,granted,independently,Based,trust,score,available,recurrently,performed,improve,reliability,information,level,decisions,are,made,using,proposed,verified,metrics,delay,success,ratio,computation,complexity,loss
AB值：
0.523787
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