2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)最新文献_第5页

Mobile Health (m-Health) System in the Context of IoT 物联网环境下的移动健康(m-Health)系统

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.24

Sultan H. Almotiri, M. Khan, Mohammad A. Alghamdi

引用次数: 133

Security and Privacy Considerations for IoT Application on Smart Grids: Survey and Research Challenges 智能电网物联网应用的安全和隐私考虑:调查和研究挑战

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.28

F. Dalipi, Sule YAYILGAN YILDIRIM

引用次数: 61

Application for the Detection of Dangerous Driving and an Associated Gamification Framework 侦测危险驾驶的应用及相关的游戏化架构

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.63

Keshav Bahadoor, Patrick Hosein

{"title":"Application for the Detection of Dangerous Driving and an Associated Gamification Framework","authors":"Keshav Bahadoor, Patrick Hosein","doi":"10.1109/W-FiCloud.2016.63","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.63","url":null,"abstract":"In today's highly technology-based world, wireless devices such as smartphones, are being utilized for solving daily problems and in making our daily lives more efficient. Although smartphones are sometimes to be blamed for vehicular accidents, they can also be used for helping to avoid accidents. In this paper we consider one such possible solution (called Project Drive), in which a smartphone based application is used to bridge the gap between negative driving detection and user motivation for safer driving behavior. Project Drive leverages a hosted web service to support the Android based application. Weather data is integrated with a modular negative driving detection component to create a point based system where positive driving is rewarded. Project Drive employs user motivation and retention strategies, such as gamification and social networking, as a means to promote safe driving. Users gain badges based on positive driving events that are seen by their contacts via the in-application social feed. Points of interest, including positive driving event areas, are visible via an interactive map. A small scale prototype was developed and used for testing of the associated algorithms as well as the social aspects of the framework.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131852064","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

On the Performance of Tabu Search Algorithm for the Vehicle Routing Problem with Time Windows 带时间窗车辆路径问题的禁忌搜索算法性能研究

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.77

Pınar Kırcı

引用次数: 9

An Incremental Approach for Real-Time Big Data Visual Analytics 实时大数据可视化分析的增量方法

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.46

I. García, Ruben Casado, A. Bouchachia

引用次数: 2

Evaluating NoSQL Document Oriented Data Model 评价NoSQL面向文档的数据模型

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.26

Hadi Hashem, D. Ranc

引用次数: 10

Knowledge Management as a Service (KMaaS) 知识管理即服务(KMaaS)

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.27

P. Balco, M. Drahosová

引用次数: 5

Rule- and Cost-Based Optimization of OLAP Workloads on Distributed RDBMS with Column-Oriented Storage Function 面向列存储的分布式RDBMS上基于规则和成本的OLAP工作负载优化

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.44

Takamitsu Shioi, K. Hatano

引用次数: 2

Cyber-Attack Modeling Analysis Techniques: An Overview 网络攻击建模分析技术综述

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.29

Hamad Al-Mohannadi, Q. A. K. Mirza, A. P. Namanya, I. Awan, A. Cullen, Jules Pagna Disso

{"title":"Cyber-Attack Modeling Analysis Techniques: An Overview","authors":"Hamad Al-Mohannadi, Q. A. K. Mirza, A. P. Namanya, I. Awan, A. Cullen, Jules Pagna Disso","doi":"10.1109/W-FiCloud.2016.29","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.29","url":null,"abstract":"Cyber attack is a sensitive issue in the world of Internet security. Governments and business organisations around the world are providing enormous effort to secure their data. They are using various types of tools and techniques to keep the business running, while adversaries are trying to breach security and send malicious software such as botnets, viruses, trojans etc., to access valuable data. Everyday the situation is getting worse because of new types of malware emerging to attack networks. It is important to understand those attacks both before and after they happen in order to provide better security to our systems. Understanding attack models provide more insight into network vulnerability, which in turn can be used to protect the network from future attacks. In the cyber security world, it is difficult to predict a potential attack without understanding the vulnerability of the network. So, it is important to analyse the network to identify top possible vulnerability list, which will give an intuitive idea to protect the network. Also, handling an ongoing attack poses significant risk on the network and valuable data, where prompt action is necessary. Proper utilisation of attack modelling techniques provide advance planning, which can be implemented rapidly during an ongoing attack event. This paper aims to analyse various types of existing attack modelling techniques to understand the vulnerability of the network, and the behaviour and goals of the adversary. The ultimate goal is to handle cyber attack in efficient manner using attack modelling techniques.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130392465","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: 68

Using Dynamic Parallelism to Speed Up Clustering-Based Community Detection in Social Networks 利用动态并行加速社交网络中基于聚类的社区检测

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.57

Mohammed N. Alandoli, M. Al-Ayyoub, Mohammad Al-Smadi, Y. Jararweh, E. Benkhelifa

{"title":"Using Dynamic Parallelism to Speed Up Clustering-Based Community Detection in Social Networks","authors":"Mohammed N. Alandoli, M. Al-Ayyoub, Mohammad Al-Smadi, Y. Jararweh, E. Benkhelifa","doi":"10.1109/W-FiCloud.2016.57","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.57","url":null,"abstract":"Social Network Analysis (SNA) has been gaining a lot of attention lately. One of the common steps in SNA is community detection. SNA literature has many interesting algorithms for community detection. One of the popular ones was proposed by Newman and it is mainly revolved around using a clustering algorithm. Three phases are iteratively applied in this algorithm in order to find the \"best\" community structure. These phases are: spectral mapping, clustering and modularity computation. Despite its effectiveness, this method suffers greatly in terms of running time when dealing with largescale networks. A parallel implementation using GPUs is one of the feasible solutions to address this problem. Moreover, due to the iterative nature of this algorithm, dynamic parallelism lends itself as a very appealing solution. Dynamic parallelism is a novel parallel programming technique that refers to the ability to launch new grids from the GPU. In this work, we present three implementation of the clustering-based community detection algorithm. In addition to the sequential implementation, we present two implementations: a Hybrid CPU-GPU (HCG) one and a Dynamic Parallel (DP) one. We test our parallel implementations on benchmark datasets to show the speed-up of each parallel implementation compared with the sequential one. The results show that the DP implementation achieves good speed-ups reaching up to 4.45X, however, the speed-ups achieved by HCG are almost twice as much.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117187205","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