TAILIEUCHUNG - Privacy preserving multivariate classification based on tree vector product protocol

In this paper, we firstly state the secure three-vector product computation problem and develop protocols called tree-vector products to solve this problem. Our protocols are developed based on some basic protocols and their security properties is validated base on the composition theorem for the semi-honest model [9]. We then use the proposed protocols to address a focus problem of privacy preserving multivariate classification. | JOURNAL OF SCIENCE OF HNUE FIT. 2011 Vol. 56 pp. 72-80 PRIVACY PRESERVING MULTIVARIATE CLASSIFICATION BASED ON TREE-VECTOR PRODUCT PROTOCOL Luong The Dung VietNam Information Security Commission Tran Duc Su Academy of Cryptographic Technique E-mail thedungluong@ 1. Introduction Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data 1 . Data mining technology allows us to analyze a personal data or a organizational data. However that creates threats to privacy this reason might cause an obstruction to data mining collaboration projects. For example two companies have a huge data set of records of their customers. These companies want to cooperatively conduct mining on their joint data set for their mutual benefit since this collaboration brings them results of mining which are more accurate than results of local data mining. However each company does not want to or does not have permission to disclose private information of other company s customers. The challenge then is whether the two companies above obtain results of mining while still preserving their data secrecy. Recently there has been growing focus on finding solutions to this problem 4 5 11 . In this paper we firstly state the secure three-vector product computation problem and develop protocols called tree-vector products to solve this problem. Our protocols are developed based on some basic protocols 3 4 7 8 and their security properties is validated base on the composition theorem for the semi-honest model 9 . We then use the proposed protocols to address a focus problem of privacy preserving multivariate classification. 2. Content . Background and problem statement . Problem statement Problem. Consider a data set D that has m observations n attributes X1 X2 . . . Xn and a class attribute Y . Where each Xi i 1 . . . n takes values as real numbers Y takes values as category data. The data set D is vertically 72 Privacy preserving .

• Lịch sử - Văn hoá
• Privacy preserving
• Multivariate classification
• Privacy preserving multivariate classification based
• Tree vector product protocol
• Develop protocols
• Visual interpretation
• Novel privacy preserving method for data publication
• Novel privacy preserving method
• Privacy preservation
• Data publication
• Computer Security
• A Mechanism for Privacy Preserving Data Dissemination
• Interactions and Trust
• Building Trust
• Recognition of Need for Privacy Guarantees
• Privacy Trust Tradeoff
• Journal of Science and Technology
• A privacy preserving social networking service providing real time
• Secure protocol based on hangout system
• Improve HangOut System
• Location privacy protocol
• Location privacy
• Data mining
• K anonymity
• Spatio temporal databases
• Privacy Preserving Cross Domain Data Dissemination
• Untrusted Cloud
• Distributed Service Monitoring
• Agile Defense
• Distributed Service Monitoring Approach
• Dynamic Service Composition Approach
• Frequency based learning algorithms
• Mô hình TPR
• Tô hình TPR
• Mô hình khai phá dữ liệu
• Bộ phân lớp naive Bayes
• BMC Genomics
• Genomic privacy
• Personal data
• Genomic reads
• Genomic data
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Security Management
• Firewall Commands
• Management Server
• VPN Commands
• SmartView Monitor
• SecureClient Commands
• Empirical Results
• Buchanan
• ever resourceful
• medical education
• Wildlife Forestry
• Fire Ignition
• Journal of Automation and Control Engineering
• A practical and extendible vanets privacypreserving system
• Vanets privacypreserving system
• Privacy Preserving System
• Practical design and expandability
• Privacy preserving data ming
• Association rule hiding
• Side effects
• Distortion based method
• Sensitive association rule hiding
• BMC Bioinformatics
• Genome wide association study
• Homomorphic encryption
• Secure multiparty computation
• Determining significance
• Access control
• Internet of Things
• Based on blockchain
• Interplanetary file system
• Privacy preserving data
• Rent storage space
• Financial cryptography
• Data security
• Financial data security
• Deterring online advertising fraud
• Privacy preserving information markets
• Data hemorrhages
• Private intersection of certified sets
• Network security illustrated
• Managing security
• Outsourcing options
• The other side of the coin
• Determining identity
• Preserving privacy