2010 IEEE 34th Annual Computer Software and Applications Conference Workshops最新文献_第2页

An Optimization Strategy for Evolutionary Testing Based on Cataclysm 基于大灾变的进化测试优化策略

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops Pub Date : 2010-07-19 DOI: 10.1109/COMPSACW.2010.69

M. Wang, Bixin Li, Zhengshan Wang, Xiaoyuan Xie

引用次数: 4

Toward Cloud-Based Key Management for Outsourced Databases 面向外包数据库的云密钥管理

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops Pub Date : 2010-07-19 DOI: 10.1109/COMPSACW.2010.47

N. Bennani, E. Damiani, S. Cimato

引用次数: 27

Modeling Cyber-Physical Systems with Semantic Agents 用语义代理建模信息物理系统

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops Pub Date : 2010-07-19 DOI: 10.1109/COMPSACW.2010.13

Jing Lin, Sahra Sedigh Sarvestani, A. Miller

引用次数: 80

Privacy Preserving Outlier Detection Using Hierarchical Clustering Methods 基于层次聚类方法的隐私保护异常点检测

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops Pub Date : 2010-07-19 DOI: 10.1109/COMPSACW.2010.35

Ajay Challagalla, S. Dhiraj, D. Somayajulu, T. Mathew, Saurav Tiwari, Syed Sharique Ahmad

引用次数: 12

MiRE4OWL: Mobile Rule Engine for OWL MiRE4OWL: OWL的移动规则引擎

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops Pub Date : 2010-07-19 DOI: 10.1109/COMPSACW.2010.62

Taehun Kim, Insuk Park, S. Hyun, Dongman Lee

引用次数: 32

Privacy Preserving Distributed Learning Clustering of HealthCare Data Using Cryptography Protocols 使用加密协议的医疗保健数据的隐私保护分布式学习聚类

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops Pub Date : 2010-07-19 DOI: 10.1109/COMPSACW.2010.33

Ahmed M. Elmisery, Huaiguo Fu

{"title":"Privacy Preserving Distributed Learning Clustering of HealthCare Data Using Cryptography Protocols","authors":"Ahmed M. Elmisery, Huaiguo Fu","doi":"10.1109/COMPSACW.2010.33","DOIUrl":"https://doi.org/10.1109/COMPSACW.2010.33","url":null,"abstract":"Data mining is the process of knowledge discovery in databases (centralized or distributed); it consists of different tasks associated with them different algorithms. Nowadays the scenario of one centralized database that maintains all the data is difficult to achieve due to different reasons including physical, geographical restrictions and size of the data itself. One approach to solve this problem is distributed databases where different parities have horizontal or vertical partitions of the data. The data is normally maintained by more than one organization, each of which aims at keeping its information stored in the databases private, thus, privacy-preserving techniques and protocols are designed to perform data mining on distributed data when privacy is highly concerned. Cluster analysis is a frequently used data mining task which aims at decomposing or partitioning a usually multivariate data set into groups such that the data objects in one group are the most similar to each other. It has an important role in different fields such as bio-informatics, marketing, machine learning, limate and healthcare. In this paper we introduce a novel clustering algorithm that was designed with the goal of enabling a privacy preserving version of it, along with sub-protocols for secure computations, to handle the clustering of vertically partitioned data among different healthcare data providers.","PeriodicalId":121135,"journal":{"name":"2010 IEEE 34th Annual Computer Software and Applications Conference Workshops","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116251415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 38

Natural Language Watermarking Based on Syntactic Displacement and Morphological Division 基于句法位移和形态划分的自然语言水印

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops Pub Date : 2010-07-19 DOI: 10.1109/COMPSACW.2010.37

Mi-Young Kim, Osmar R Zaiane, R. Goebel

{"title":"Natural Language Watermarking Based on Syntactic Displacement and Morphological Division","authors":"Mi-Young Kim, Osmar R Zaiane, R. Goebel","doi":"10.1109/COMPSACW.2010.37","DOIUrl":"https://doi.org/10.1109/COMPSACW.2010.37","url":null,"abstract":"This paper explores a method for Korean text watermarking based on a linguistic analysis scheme using morphemic and syntactic analysis. In this scheme, a predicate nominal is separated into its nominal and its predicate, and syntactic adverbial is displaced. Korean, as an agglutinative language, provides a good basis for this morpheme-based natural language watermarking because a word consists of several morphemes. A Korean word usually consists of a content morpheme and a function morpheme. However, a predicate nominal is an exception, having two content morphemes—nominal and predicate--and one function morpheme. So, we can divide a predicate nominal into a nominal and a predicate. In addition, we also perform syntax-based watermarking. We displace syntactic adverbials using the characteristic that most languages permit displacement of syntactic adverbials within its clause. Combining these morphemic and syntactic characteristics, we propose a method of language watermarking based on syntactic displacement and morphological division. To make our system more secure, we also include a sentence weight value and encode the weight value with a watermark bit. Our watermarking method doesn’t change the meaning of the most marked sentences, and it also ensures the naturalness of the sentences. From the experimental results, we show that the rate of unnatural sentences of marked text is reasonable, and the watermarking capacity is better than previous systems. The coverage of marked sentences is also reasonable. Experimental results also show that the marked text retains the same style, and also has the same information without semantic distortion.","PeriodicalId":121135,"journal":{"name":"2010 IEEE 34th Annual Computer Software and Applications Conference Workshops","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123996721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

SecureCloud: Towards a Comprehensive Security Framework for Cloud Computing Environments SecureCloud:迈向云计算环境的综合安全框架

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops Pub Date : 2010-07-19 DOI: 10.1109/COMPSACW.2010.74

Hassan Takabi, J. Joshi, Gail-Joon Ahn

引用次数: 158

The Framework of Medical Simulation Education and Evaluation System for Supporting SaaS 支持SaaS的医学模拟教育与评估系统框架

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops Pub Date : 2010-07-19 DOI: 10.1109/COMPSACW.2010.26

Jian Shang, Jijiang Yang, Qing Wang, Hui Pan

引用次数: 3

Performance Testing: Far from Steady State 性能测试:远离稳定状态

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops Pub Date : 2010-07-19 DOI: 10.1109/COMPSACW.2010.66

R. Mansharamani, Amol Khanapurkar, Benny Mathew, R. Subramanyan

引用次数: 13