TAILIEUCHUNG - Privacy preserving frequency-based learning algorithms in two part partitioned record model

In this paper, we consider a new scenario for privacy-preserving data mining called two-part partitioned record model (TPR) and find solutions for a family of frequency-based learning algorithms in TPR model. In TPR, the dataset is distributed across a large number of users in which each record is owned by two different users, one user only knows the values for a subset of attributes and the other knows the values for the remaining attributes. | Privacy Preserving Frequency-based Learning Algorithms in Two-Part Partitioned Record Model Luong The Dung Vietnam Government Information Security Commission Email thedungluong@ Tran Dang Hung Hanoi National University of Education Email hungtd@ Abstract. In this paper we consider a new scenario for privacy-preserving data mining called two-part partitioned record model TPR and find solutions for a family of frequency-based learning algorithms in TPR model. In TPR the dataset is distributed across a large number of users in which each record is owned by two different users one user only knows the values for a subset of attributes and the other knows the values for the remaining attributes. A miner aims to learn for example classification rules on their data while preserving each user s privacy. In this work we develop a cryptographic solution for frequency-based learning methods in TPR. The crucial step in the proposed solution is the privacy-preserving computation of frequencies of a tuple of values in the users data which can ensure each user s privacy without loss of accuracy. We illustrate the applicability of the method by using it to build the privacy preserving protocol for the naive Bayes classifier learning and briefly address the solution in other applications. Experimental results show that our protocol is efficient. Tóm tắt. Trong mô hình TPR tập dữ liệu gồm n bản ghi được phân tán trên 2n người dùng trong đó mỗi bản ghi được sở hữu bởi hai người dùng khác nhau một người dùng biết một số giá trị thuộc tính trong khi người dùng còn lại biết các thuộc tính còn lại của bản ghi. Giả thiết rằng các thuộc tính của mỗi người dùng là nhạy cảm và mỗi người dùng không muốn bộc lộ các giá trị thuộc tính cho việc khai phá dữ liệu. Một người Miner với mục đích là học các mô hình khai phá dữ liệu dựa trên tính tần suất ví dụ như học các luật phân lớp trong khi đảm bảo sự riêng tư cho mỗi người dùng. Các giải pháp ngẫu nhiên có thể giải quyết vấn

• Kỹ thuật lập trình
• Privacy preserving
• Frequency based learning algorithms
• Mô hình TPR
• Tô hình TPR
• Mô hình khai phá dữ liệu
• Bộ phân lớp naive Bayes
• 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
• Multivariate classification
• Privacy preserving multivariate classification based
• Tree vector product protocol
• Develop protocols
• 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
• 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