2015 IEEE Trustcom/BigDataSE/ISPA最新文献_第7页

Performance of Cooperative Firewalls in Real-World Deployments 协作防火墙在实际部署中的性能

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.359

Nishant Patanaik, A. Goulart

引用次数: 0

Assessment of a Black-Box Approach for a Parallel Finite Elements Solver in Computational Hemodynamics 计算血流动力学中并行有限元求解器黑盒法的评估

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.633

F. Auricchio, M. Ferretti, A. Lefieux, M. Musci, A. Reali, S. Trimarchi, A. Veneziani

{"title":"Assessment of a Black-Box Approach for a Parallel Finite Elements Solver in Computational Hemodynamics","authors":"F. Auricchio, M. Ferretti, A. Lefieux, M. Musci, A. Reali, S. Trimarchi, A. Veneziani","doi":"10.1109/Trustcom.2015.633","DOIUrl":"https://doi.org/10.1109/Trustcom.2015.633","url":null,"abstract":"Numerical approximation of blood flow has emerged in the last 20 years as a tool to investigate physiopathology of the circulation, moving from a proof-of-concept to a clinical stage. By merging medical images with numerical models it is possible to support the decision-making process of surgeons and doctors in general. In particular, the iCardioCloud project aims at establishing a framework to perform a complete patient-specific hemodynamics analysis for aortic diseases such as dissections, occlusions and aneurysms. From a computer science standpoint, such a project faces multiple challenges. First of all the dimension of the problem in terms of number of equations to be solved for each patient is in general huge and thus it requires massively parallel methods. In addition, clinical timeline demands for efficiency, since availability of results -- at least in an emergency scenario -- should be granted in few hours from data retrieval. Therefore it is mandatory to develop a good implementation on high-end parallel systems, such as large clusters or even supercomputers. Unfortunately, it is not straightforward to obtain an efficient implementation on such machines. In this paper we discuss a parallel implementation obtained with a black-box approach, that is set up by assembling existing packages and libraries and in particular LifeV, a finite element library developed for Computational Fluid Dynamics. The ultimate goal is to assess if the application can be solved efficiently and which is the parallel paradigm that best matches the computational requirements.","PeriodicalId":277092,"journal":{"name":"2015 IEEE Trustcom/BigDataSE/ISPA","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123841929","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: 2

Countermeasure Security Risks Management in the Internet of Things Based on Fuzzy Logic Inference 基于模糊逻辑推理的物联网安全风险对策管理

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.431

Igor Kotenko, I. Saenko, S. Ageev

引用次数: 19

Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces 移动轨迹去匿名化的群稀疏张量分解

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.427

Takao Murakami, Atsunori Kanemura, H. Hino

引用次数: 12

A Scalable Data Hiding Scheme Using Hilbert Space Curve and Chaos 基于Hilbert空间曲线和混沌的可扩展数据隐藏方案

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.463

Gyan Singh Yadav, A. Ojha

引用次数: 5

DPBSV -- An Efficient and Secure Scheme for Big Sensing Data Stream DPBSV——一种高效、安全的大传感数据流方案

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.381

Deepak Puthal, S. Nepal, R. Ranjan, Jinjun Chen

引用次数: 44

The Role of Risk Perceptions in Privacy Concerns Evaluation 风险认知在隐私问题评估中的作用

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.479

Anna Rohunen, Jouni Markkula

{"title":"The Role of Risk Perceptions in Privacy Concerns Evaluation","authors":"Anna Rohunen, Jouni Markkula","doi":"10.1109/Trustcom.2015.479","DOIUrl":"https://doi.org/10.1109/Trustcom.2015.479","url":null,"abstract":"The collection of information on individual persons for personal data intensive systems and services poses the risk of privacy violations and raises privacy concerns. Individuals' privacy concerns and risk perceptions affect their decision-making on personal data disclosure for services. In the research presented in this paper, data subjects' privacy concerns and risk perceptions were studied by surveying drivers on the possibility of collecting driving data on their vehicles. The research sought to explore the following questions: (1) How are data subjects' risk perceptions related to their privacy concerns, (2) how do risk perceptions and privacy concerns jointly affect willingness to disclose data, (3) how should risk perceptions be incorporated into evaluation of data subjects' privacy behavior? The study's primary findings were as follows: (1) surprisingly, clear dependencies between risk perceptions and privacy concerns were not found, (2) data subjects risk perceptions and two privacy concerns-related factors independently affected their willingness to disclose data -- the two privacy concerns-related factors were the data subjects' perceptions of other drivers' privacy concerns and their discussing information privacy with other drivers, (3) risk perceptions, in combination with privacy concerns, should be incorporated into the data subjects' privacy behavior evaluations. The results of the study contribute to improving the validity of privacy behavior measurements and models.","PeriodicalId":277092,"journal":{"name":"2015 IEEE Trustcom/BigDataSE/ISPA","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121949033","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

Data Mobility Management Model for Active Data Cubes 活动数据集的数据移动性管理模型

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.443

T. Dang, D. Hoang, P. Nanda

{"title":"Data Mobility Management Model for Active Data Cubes","authors":"T. Dang, D. Hoang, P. Nanda","doi":"10.1109/Trustcom.2015.443","DOIUrl":"https://doi.org/10.1109/Trustcom.2015.443","url":null,"abstract":"Cloud computing dramatically reduces the expense and complexity of managing IT systems. Business customers do not need to invest in their own costly IT infrastructure, but can delegate and deploy their services effectively to cloud vendors and service providers. A number of security and protection mechanisms have been proposed to prevent the disclosure of sensitive information or tempering with the data by employing various policy, encryption, and monitoring approaches. However, few efforts have been focused on data mobility issues in terms of protection of data when it is moved within a cloud or to and from a new cloud environment. To allay users' concern of data control, data ownership, security and privacy, we propose a novel data mobility management model which ensures continuity protecting data at new cloud hosts at new data locations. The model provides a mobility service to handle data moving operation that relies on a new location database service. The new model allows the establishment of a proxy supervisor in the new environment and the ability of the active data to record its own location. The experimental outcomes demonstrate the feasibility, proactivity, and efficiency by the full mobility management model.","PeriodicalId":277092,"journal":{"name":"2015 IEEE Trustcom/BigDataSE/ISPA","volume":"7 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120998652","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

Enhanced GPU Resource Utilization through Fairness-aware Task Scheduling 通过公平感知任务调度提高GPU资源利用率

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.611

Ayman Tarakji, Alexander Gladis, Tarek Anwar, R. Leupers

引用次数: 3

An Entropy-Based Distributed DDoS Detection Mechanism in Software-Defined Networking 软件定义网络中基于熵的分布式DDoS检测机制

2015 IEEE Trustcom/BigDataSE/ISPA Pub Date : 2015-08-20 DOI: 10.1109/Trustcom.2015.389

Rui Wang, Zhiping Jia, Lei Ju

{"title":"An Entropy-Based Distributed DDoS Detection Mechanism in Software-Defined Networking","authors":"Rui Wang, Zhiping Jia, Lei Ju","doi":"10.1109/Trustcom.2015.389","DOIUrl":"https://doi.org/10.1109/Trustcom.2015.389","url":null,"abstract":"Software-Defined Networking (SDN) and OpenFlow (OF) protocol have brought a promising architecture for the future networks. However, the centralized control and programmable characteristics also bring a lot of security challenges. Distributed denial-of-service (DDoS) attack is still a security threat to SDN. To detect the DDoS attack in SDN, many researches collect the flow tables from the switch and do the anomaly detection in the controller. But in the large scale network, the collecting process burdens the communication overload between the switches and the controller. Sampling technology may relieve this overload, but it brings a new tradeoff between sampling rate and detection accuracy. In this paper, we first extend a copy of the packet number counter of the flow entry in the OpenFlow table. Based on the flow-based nature of SDN, we design a flow statistics process in the switch. Then, we propose an entropy-based lightweight DDoS flooding attack detection model running in the OF edge switch. This achieves a distributed anomaly detection in SDN and reduces the flow collection overload to the controller. We also give the detailed algorithm which has a small calculation overload and can be easily implemented in SDN software or programmable switch, such as Open vSwitch and NetFPGA. The experimental results show that our detection mechanism can detect the attack quickly and achieve a high detection accuracy with a low false positive rate.","PeriodicalId":277092,"journal":{"name":"2015 IEEE Trustcom/BigDataSE/ISPA","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126003141","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: 188