2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing最新文献_第7页

An Efficient Cloud-Based Personal Health Records System Using Attribute-Based Encryption and Anonymous Multi-receiver Identity-Based Encryption 基于属性加密和匿名多接收方身份加密的高效云个人健康记录系统

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.38

Chang-ji Wang, Xi-Lei Xu, Dong-Yuan Shi, Wen-Long Lin

{"title":"An Efficient Cloud-Based Personal Health Records System Using Attribute-Based Encryption and Anonymous Multi-receiver Identity-Based Encryption","authors":"Chang-ji Wang, Xi-Lei Xu, Dong-Yuan Shi, Wen-Long Lin","doi":"10.1109/3PGCIC.2014.38","DOIUrl":"https://doi.org/10.1109/3PGCIC.2014.38","url":null,"abstract":"As an emerging patient-centric model of health information exchange, cloud-based personal health record (PHR) system holds great promise for empowering patients and ensuring more effective delivery of health care. In this paper, we propose a novel patient-centric cloud-based secure PHR system, which allows patients to securely store their PHR data on the semi-trusted cloud service providers, and selectively share their PHR data with a wide range of users, including health care provider like doctors and nurses, family members or friends. To reduce the key management complexity for owners and users, we divide the users in the cloud-based PHR system into two security domains named public domain and personal domain. Different from previous cloud-based PHR system, PHR owners encrypt their PHR data for the public domain using cipher text-policy attribute-based encryption scheme, while they encrypt their PHR data for the personal domain using anonymous multi-receiver identity-based encryption scheme. Only authorized users whose credentials satisfy the specified cipher text-policy or whose identities belong to dedicated identities can decrypt the encrypted PHR data, where cipher text-policy or dedicated identities are embedded in the encrypted PHR data. Extensive analytical and experimental results are presented which show the patient-centric cloud-based secure PHR system is secure, scalable and efficient.","PeriodicalId":395610,"journal":{"name":"2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122975825","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: 18

Encrypted Botnet Detection Scheme 加密僵尸网络检测方案

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.110

Wang Ying

引用次数: 5

A Verifiable Multi-recipient Encryption Scheme from Multilinear Maps 基于多线性映射的可验证多接收者加密方案

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.49

Zhengjun Jing, Guoping Jiang, Chunsheng Gu

引用次数: 2

An Algorithm of Video Network Transmission Based on Unbalanced Multiple Description Coding 基于不平衡多重描述编码的视频网络传输算法

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.143

Shanguo Lv, Yiqin Cao

引用次数: 2

Vinyl Acetate Polymerization Rate Prediction Based on FOA GNN 基于FOA GNN的醋酸乙烯酯聚合速率预测

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.61

Yang Jing, Zeng Hui, H. Jiangping

引用次数: 2

Mobile Traffic Analysis Exploiting a Cloud Infrastructure and Hardware Accelerators 利用云基础设施和硬件加速器的移动流量分析

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.86

M. Barbareschi, Alessandra De Benedictis, A. Mazzeo, Antonino Vespoli

{"title":"Mobile Traffic Analysis Exploiting a Cloud Infrastructure and Hardware Accelerators","authors":"M. Barbareschi, Alessandra De Benedictis, A. Mazzeo, Antonino Vespoli","doi":"10.1109/3PGCIC.2014.86","DOIUrl":"https://doi.org/10.1109/3PGCIC.2014.86","url":null,"abstract":"Recently, traffic analysis and measurements have been used to characterize, from a security point of view, applications' and network behavior to avoid intrusion attempts, malware injections and data theft. Since most of the generated data traffic is from the embedded mobile devices, the analysis techniques have to cope on the one hand with the scarce computing capabilities and battery limitation of the devices, and on the other hand with tight performance constraints due to the huge generated traffic. In recent years, several machine learning approaches have been proposed in the literature, providing different levels of accuracy and requiring high computation resources to extract the analytic model from available training set. In this paper, we discuss a traffic analysis architecture that exploits FPGA technology to efficiently implement a hardware traffic analyzer on mobile devices, and a cloud infrastructure for the dynamic generation and updating of the data model based on ongoing mis-classification events. Finally, we provide a case study based on the implementation of the proposed traffic analyzer on a Xilinx Zynq 7000 architecture and Android OS, and show an overview of the proposed cloud infrastructure.","PeriodicalId":395610,"journal":{"name":"2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128234868","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: 6

Automatic Generation Algorithm of Penetration Graph in Penetration Testing 穿透测试中穿透图的自动生成算法

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.104

Xue Qiu, Qiong Jia, Shuguang Wang, Chunhe Xia, Liangshuang Lv

{"title":"Automatic Generation Algorithm of Penetration Graph in Penetration Testing","authors":"Xue Qiu, Qiong Jia, Shuguang Wang, Chunhe Xia, Liangshuang Lv","doi":"10.1109/3PGCIC.2014.104","DOIUrl":"https://doi.org/10.1109/3PGCIC.2014.104","url":null,"abstract":"Penetration graph is a kind of attack graph which is widely used in penetration testing. It is an import tool to analyze security vulnerabilities in the network. However, the previous research on the generation methods of penetration graph have met a lot of challenges. Some methods are out of date and not applicable for practical scenarios, some may possibly leave out the import attack paths, some do not consider the probability of exploitation of each attack path and some failed to solve the problem of circle path and combination exploitation. We propose an automatic generation algorithm of penetration graph that optimizes the network topology before generating the penetration graph, which can reduce the redundant information effectively. We combine the penetration graph generation method with the CVSS (Common Vulnerability Scoring System) information together, increase the reliability of each attack path. Experiment result shows that the method can generates multi-path correctly and effectively, which can clearly show the structure of network, facilitates the testers' analysis of the target network, and provides reference for executing penetration testing.","PeriodicalId":395610,"journal":{"name":"2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128065891","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: 12

The Research of Wireless Sensor Network Channel Propagation Model in the Wild Environment 野外环境下无线传感器网络信道传播模型的研究

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.66

Yueshun He, Wei Zhang, N. Jiang, Xiaoyan Luo

引用次数: 4

HPC Cloud Pills: On-Demand Deployment and Execution of HPC Application in Cloud Environments HPC云药丸:在云环境中按需部署和执行HPC应用程序

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.39

P. Ruiu, O. Terzo, G. Carlino, Rossella Prandi, A. Falzone, P. Maggi, Livia Torterolo, E. Usai, G. Perego

引用次数: 4

The Analysis of Compressive Sensing Theory 压缩感知理论分析

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.67

Jia Yu

引用次数: 3