2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops最新文献_第3页

A Case Study and Design of Transformation Architecture in BSS BSS中转换体系结构的案例研究与设计

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2015-03-24 DOI: 10.1109/WAINA.2015.67

Teh-Sheng Huang, Chun-Yen Wang, Tsung-Ching Lin, Jeu-Yih Jeng

引用次数: 2

A Novel Outlier Detection Model Based on One Class Principal Component Classifier in Wireless Sensor Networks 基于一类主成分分类器的无线传感器网络离群点检测模型

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2015-03-24 DOI: 10.1109/AINA.2015.168

Oussama Ghorbel, M. Abid, H. Snoussi

{"title":"A Novel Outlier Detection Model Based on One Class Principal Component Classifier in Wireless Sensor Networks","authors":"Oussama Ghorbel, M. Abid, H. Snoussi","doi":"10.1109/AINA.2015.168","DOIUrl":"https://doi.org/10.1109/AINA.2015.168","url":null,"abstract":"Wireless sensor networks (WSNs) are important platforms for collecting environmental data and monitoring phenomena. So, outlier detection process is a necessary step in building sensor network systems to assure data quality for perfect decision making. Over the last few years Kernel Principal Component Analysis (KPCA) is considered as a natural nonlinear generalization of PCA, which extracts nonlinear structure from the data. Wireless sensor networks had been deployed in the real world to collect large amounts of raw sensed data. Then, the key challenge is to extract high level knowledge from such raw data. So, the accuracy of sensor readings is without a doubt one of the most important measures to evaluate the quality of a sensor and its network. For this case, the task amounts to create a useful model based on KPCA to recognize data as normal or outliers. However, KPCA based reconstruction error (RE) has found several applications in outlier detection but is not perfect to detect outlier. Within this setting, we propose Kernel Principal Component Analysis based Mahalanobis kernel as a new outlier detection method using mahalanobis distance to implicitly calculate the mapping of the data points in the feature space so that we can separate outlier points from normal pattern of data distribution. The use of KPCA based mahalanobis kernel on real word data obtained from three real datasets are reported showing that the proposed method performs better in finding outliers in wireless sensor networks when compared to the original RE based variant and the One-Class SVM detection approach.","PeriodicalId":6845,"journal":{"name":"2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops","volume":"26 1","pages":"70-76"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90428499","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: 3

Scalability of Privacy-Preserving Linear Regression in Epidemiological Studies 流行病学研究中隐私保护线性回归的可扩展性

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2015-03-24 DOI: 10.1109/AINA.2015.229

Hiroaki Kikuchi, H. Hashimoto, H. Yasunaga, Takamichi Saito

{"title":"Scalability of Privacy-Preserving Linear Regression in Epidemiological Studies","authors":"Hiroaki Kikuchi, H. Hashimoto, H. Yasunaga, Takamichi Saito","doi":"10.1109/AINA.2015.229","DOIUrl":"https://doi.org/10.1109/AINA.2015.229","url":null,"abstract":"In many hospitals, data related to patients are observed and collected to a central database for medical research. For instance, DPC dataset, which stands for Disease, Procedure and Combination, covers medical records for more than 7 million patients in more than 1000 hospitals. Using the distributed DPC data set, a number of epidemiological studied are feasible to reveal useful knowledge on medical treatments. Hence, cryptography helps to preserve the privacy of personal data. The study called as Privacy-Preserving Data Mining (PPDM) aims to perform a data mining algorithm with preserving confidentiality of datasets. This paper studies the scalability of privacy-preserving data mining in epidemiological study. As for the data-mining algorithm, we focus to a linear regression since it is used in many applications and simple to be evaluated. We try to identify the linear model to estimate a length of hospital stay from distributed dataset related to the patient and the disease information. Our contributions of this paper include (1) to propose privacy-preserving protocols for linear regression with horizontally or vertically partitioned datasets, and (2) to clarify the limitation of size of problem to be performed. These information are useful to determine the dominant element in PPDM and to figure out the direction of study for further improvement.","PeriodicalId":6845,"journal":{"name":"2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops","volume":"29 1","pages":"510-514"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76550421","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: 1

Processing and Analytics of Big Data Streams with Yahoo!S4 雅虎大数据流处理与分析S4

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2015-03-24 DOI: 10.1109/AINA.2015.194

F. Xhafa, V. Naranjo, S. Caballé

{"title":"Processing and Analytics of Big Data Streams with Yahoo!S4","authors":"F. Xhafa, V. Naranjo, S. Caballé","doi":"10.1109/AINA.2015.194","DOIUrl":"https://doi.org/10.1109/AINA.2015.194","url":null,"abstract":"Many Internet-based applications generate huge data streams, which are known as Big Data Streams. Such applications comprise IoT-based monitoring systems, data analytics from monitoring online learning workspaces and MOOCs, global flight monitoring systems, etc. Differently from Big Data processing in which the data is available in databases, file systems, etc., before processing, in Big Data Streams the data stream is unbounded and it is to be processed as it becomes available. Besides the challenges of processing huge amount of data, the Big Data Stream processing adds further challenges of coping with scalability and high throughput to enable real time decision taking. While for Big Data processing the MapReduce framework has resulted successful, its batch mode processing shows limitations to process Big Data Streams. Therefore there have been proposed alternative frameworks such as Yahoo!S4, Twitter Storm, etc., to Big Data Stream processing. In this paper we implement and evaluate the Yahoo!S4 for Big Data Stream processing and exemplify through the Big Data Stream from global flight monitoring system.","PeriodicalId":6845,"journal":{"name":"2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops","volume":"51 1","pages":"263-270"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76589970","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: 34

A Survey on Interfaces to Network Security Functions in Network Virtualization 网络虚拟化中网络安全功能接口研究

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2015-03-24 DOI: 10.1109/WAINA.2015.103

H. Jang, J. Jeong, Hyoungshick Kim, Jungsoo Park

引用次数: 19

A Scalable Inter-AS QoS Routing Architecture in Software Defined Network (SDN) 软件定义网络(SDN)中可扩展的as间QoS路由体系结构

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2015-03-24 DOI: 10.1109/AINA.2015.179

Murat Karakus, A. Durresi

引用次数: 26

Multi-path TCP in Real-World Setups -- An Evaluation in the NORNET CORE Testbed 多路径TCP在现实世界的设置——在NORNET CORE测试平台的评估

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2015-03-24 DOI: 10.1109/WAINA.2015.74

T. Dreibholz, Xing Zhou, Fu Fa

{"title":"Multi-path TCP in Real-World Setups -- An Evaluation in the NORNET CORE Testbed","authors":"T. Dreibholz, Xing Zhou, Fu Fa","doi":"10.1109/WAINA.2015.74","DOIUrl":"https://doi.org/10.1109/WAINA.2015.74","url":null,"abstract":"Nowadays, cloud applications are becoming more and more popular. However, in order for such applications to work, they need a stable Internet connectivity. To avoid the Internet access becoming a single point of failure, redundancy by multi-homing -- i.e. Simultaneous access to multiple Internet service providers (ISP) -- is becoming increasingly common as well. Multi-homing leads to the desire to utilise all network attachment points simultaneously, which is e.g. Provided by the Multi-Path TCP (MPTCP) extension for TCP. MPTCP is still under development by researchers and standardisation in the IETF. Particularly, it is necessary to evaluate MPTCP under realistic Internet conditions. NORNET CORE is the world's first, large-scale Internet test bed for multi-homed systems and applications. It is therefore a useful platform for evaluating MPTCP. In this paper, we therefore present our NORNET CORE extension that adds MPTCP support to the test bed. Particularly, our extension is now available to all users of NORNET CORE as well, which significantly reduces the effort of MPTCP researchers to evaluate MPTCP and its improvements. In a proof of concept, we furthermore show the strengths and weaknesses of state-of-the-art MPTCP in NORNET CORE, in a configuration covering 29 ISP connections at 14 sites in 5 different countries.","PeriodicalId":6845,"journal":{"name":"2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops","volume":"32 1","pages":"617-622"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75254365","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: 13

Will ToR Achieve Its Goals in the "Future Internet"? An Empirical Study of Using ToR with Cloud Computing ToR会在“未来互联网”中实现其目标吗?基于云计算的ToR应用实证研究

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2015-03-24 DOI: 10.1109/WAINA.2015.78

A. Carnielli, Mahdi Aiash

引用次数: 4

A Usable and Secure Crime Reporting System for Technology Resource Constrained Context 技术资源受限环境下可用且安全的犯罪报告系统

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2015-03-24 DOI: 10.1109/WAINA.2015.97

A. Sakpere, Anne Kayem, T. Ndlovu

引用次数: 11

Investigation of Message Suppression Method Considering TCP in Vehicular-DTN 考虑TCP的车载dtn报文抑制方法研究

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2015-03-24 DOI: 10.1109/WAINA.2015.60

S. Ishikawa, Taiki Honda, Makoto Ikeda, L. Barolli

引用次数: 4