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

{"title":"Survey of Big Data Information Security","authors":"N. Miloslavskaya, A. Makhmudova","doi":"10.1109/W-FiCloud.2016.38","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.38","url":null,"abstract":"Today the information security (IS) of data mining is the crucial and comprehensive issue for organizations of the different spheres and size. The main challenges of Big Data IT are management of large amounts of heterogeneous information and providing its availability. Big Data protection against unauthorized access and corruption (keeping its confidentiality and integrity) as well as availability maintenance form the key research priorities in this field. The issues related to providing these Big Data features are considered in the paper. The existing approaches to their solution are analyzed. Some concepts for their improvement while designing the secure Big Data mining algorithm are formulated in accordance to IS properties.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"74 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":"129243471","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}

{"title":"Inter-domain Mobility Management Using SDN for Residential/Enterprise Real Time Services","authors":"W. F. Elsadek, M. Mikhail","doi":"10.1109/W-FiCloud.2016.25","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.25","url":null,"abstract":"The tremendous evolution in IoT real time services that requires continuous connectivity to enterprise, residential, and private cloud services stimulates operators and enterprises to rethink of their current adopted mobility solutions for wider service accessibility. Proxy Mobile IPv6 (PMIPv6) is widely adopted in 4G Long Term Evolution (LTE) and WiFi Hotspots for its wide area coverage while Control And Provisioning of Wireless Access Points (CAPWAP) protocol is preferred in enterprise's Wireless LAN Controller (WLCs) for its unified access for both wired and wireless networks. Both protocols struggle when offering mobility solutions between enterprises with different administration to ensure optimized WAN usage with minimum latency and guaranteed QoS while satisfying the unified access, and the privacy compliance requirements. LTE provides a partial solution for inter-domain mobility crossing enterprises which is even hard for WiFi service provider to offer. This paper proposes am inter-domain mobility framework based on Software defined Network (SDN) that overcomes previous protocols' challenges. The proposed framework is LTE independent thus it can be adopted cross enterprises or smart cities or through WiFi or LTE service provider. The Enterprise wired network can be a full migrated SDN network or a standard switched network. The framework uses SDN mobility overlay to transparently detect mobile node's (MN) registration and make selective break out based on the MN's subscription profiles while providing simultaneous access to the registered services as home, intranet, and internet. The framework is an initiative toward smooth migration of existing infrastructures to the next generation SDN service platform where mobility is provided as a service. A prototype is created to support the proposed framework. The experimental results show that MNs are successfully identified and their mobility profiles are activated in almost 1.3~3 seconds while standard MN's packets are wire speed forwarded with almost zero latency.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"2010 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":"127339051","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}

{"title":"Sizing Network Buffers: An HTTP Adaptive Streaming Perspective","authors":"Darijo Raca, A. Zahran, C. Sreenan","doi":"10.1109/W-FiCloud.2016.80","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.80","url":null,"abstract":"HTTP Adaptive video Streaming (HAS) is the dominant traffic type on the Internet. When multiple video clients share a bottleneck link many problems arise, notably bandwidth underutilisation, unfairness and instability. Key findings from previous papers show that the \"ON-OFF\" behaviour of adaptive video clients is the main culprit. In this paper we focus on the network, and specifically the effects of network queue size when multiple video clients share network resources. We conducted experiments using the Mininet virtual network environment streaming real video content to open-source GPAC video clients. We explored how different network buffer sizes, ranging from 1xBDP to 30xBDP (bandwidth-delay-product), affect clients sharing a bottleneck link. Within GPAC, we implemented the published state-of-the-art adaptive video algorithms FESTIVE and BBA-2. We also evaluated impact of web cross-traffic. Our main findings indicate that the \"rule-of-thumb\" 1xBDP for network buffer sizing causes bandwidth underutilisation, limiting available bandwidth to 70% for all video clients across different round-trip-times (RTT). Interaction between web and HAS clients depends on multiple factors, including adaptation algorithm, bitrate distribution and offered web traffic load. Additionally, operating in an environment with heterogeneous RTTs causes unfairness among ompeting HAS clients. Based on our experimental results, we propose 2xBDP as a default network queue size in environments when multiple users share network resources with homogeneous RTTs. With heterogeneous RTTs, a BDP value based on the average RTTs for all clients improves fairness among competing clients by 60%.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"31 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":"123209576","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}

{"title":"Using Block Cipher for Confidentiality of Images in Cloud-Based Systems","authors":"Rana Adnan Rihan, K. Khan","doi":"10.1109/W-FiCloud.2016.22","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.22","url":null,"abstract":"This paper deals with outsourcing of computing to cloud servers where clients' images are computed and stored. It proposes a technique that obfuscates images before sending them to servers. Cloud servers can perform computation such as comparison on images without knowing the actual images. The proposed technique is expected to ensure confidentiality of images. In order to achieve this, we propose a block cipher-based approach that requires less overhead from servers but images are not disclosed to servers during processing. In this work, we are experimenting how to obfuscate images, and send them to cloud servers for processing such as comparing two images in terms of their similarity. Cloud servers can process images without 'seeing and knowing' the actual images. The approach reveals no meaningful information about images to servers.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"51 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":"121676452","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}

{"title":"Using a Rich Context Model for Real-Time Big Data Analytics in Twitter","authors":"Alisa Sotsenko, M. Jansen, M. Milrad, Juwel Rana","doi":"10.1109/W-FiCloud.2016.55","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.55","url":null,"abstract":"In this paper we present an approach for contextual big data analytics in social networks, particularly in Twitter. The combination of a Rich Context Model (RCM) with machine learning is used in order to improve the quality of the data mining techniques. We propose the algorithm and architecture of our approach for real-time contextual analysis of tweets. The proposed approach can be used to enrich and empower the predictive analytics or to provide relevant context-aware recommendations.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"52 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":"125433455","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}

{"title":"MobIoTSim: Towards a Mobile IoT Device Simulator","authors":"T. Pflanzner, A. Kertész, Bart Spinnewyn, Steven Latré","doi":"10.1109/W-FICLOUD.2016.21","DOIUrl":"https://doi.org/10.1109/W-FICLOUD.2016.21","url":null,"abstract":"Currently a growing number of powerful devices join the Internet composing a world of smart devices, or things in the Internet of Things (IoT) perspective, significantly impacting the global traffic. There are also more and more cloud providers offering IoT-specific services, since cloud computing has the potential to satisfy IoT needs such as hiding data generation, processing and visualization tasks. Using the capabilities of smartphones, many things can be simulated simultaneously supporting most types of IoT devices. In this paper, we discuss the design and development of a mobile IoT simulator called MobIoTSim that helps researchers to learn IoT device handling without buying real sensors, and to test and demonstrate IoT applications utilizing multiple devices. We also show how to develop a gateway service in a cloud that can be connected to MobIoTSim to manage the simulated devices and to send back notifications by responding to critical sensor values. By using this tool, developers can examine the behaviour of IoT systems, and develop and evaluate IoT cloud applications more efficiently.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"27 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":"126003978","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}

{"title":"Towards Automatic Persona Generation Using Social Media","authors":"Jisun An, Hoyoun Cho, Haewoon Kwak, M. Hassen, B. Jansen","doi":"10.1109/W-FiCloud.2016.51","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.51","url":null,"abstract":"The use of personas is an interactive design technique with considerable potential for product and content development. However, personas have typically been viewed as fairly static. In this research, we implement an approach for creating personas in real time, based on automated analysis of actual social media data, integrating data from Facebook, Twitter, and YouTube channels for a large commercial organization. From Twitter, we gather user insights representing interests and viewpoints, leveraging approximately 195,000 follower profiles. From YouTube, we gather demographic data and topical interests, leveraging more than 188,000 subscriber profiles and millions of user interactions. From Facebook, we collect instances of hundreds of thousands of link sharing by more than 54,000 social media followers, specifically examining the domains these users share. We integrate the social media data from all three platforms in order to demonstrating that this data can be used to develop personas in real-time. The research results provide insights into competitive marketing, topical interests, and preferred system features for the users of the online news medium. Research implications are that personas can be generated in real-time, instead of being the result of a laborious, time-consuming development process.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"59 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":"130222133","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}

{"title":"Investigating Metrics to Build a Benchmark Tool for Complex Event Processing Systems","authors":"A. Gradvohl","doi":"10.1109/W-FiCloud.2016.40","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.40","url":null,"abstract":"Despite companies' demand for data streams processing systems to handle large volumes of flowing data, we did not find many software to assess these sort of systems. In fact, up to date, there are few papers proposing metrics to evaluate these systems or describing software for benchmarks. Most of the papers focus on metrics such as throughput, latency and memory consumption. However, there are other metrics, which system administrators and users should consider, such as information latency, the correctness of results, adaptability on different workloads and others. Therefore, in this paper, we summarized some key metrics used to assess systems for processing online data streams. In addition, we discuss three benchmark tools found in the literature to assess this type of system. At the end of this paper, we propose a new benchmark tool for complex event processing distributed systems called B2-4CEP, which incorporate the metrics described in this paper.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"24 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":"114344218","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}

{"title":"A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets","authors":"S. Aldawood, Frank Fowley, C. Pahl, D. Taibi, Xiaodong Liu","doi":"10.1109/W-FiCloud.2016.19","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.19","url":null,"abstract":"With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing a high quality service with lowest possible cost and at the same time trying to make profit. Often, cloud resources are advertised and brokered in a spot market style, i.e., traded for immediate delivery. This paper proposes an architecture for a brokerage model specifically for multi-cloud resource spot markets that integrates the resource brokerage function across several cloud providers. We use a tuple space architecture to facilitate coordination. This architecture supports specifically multiple cloud providers selling unused resources in the spot market. To support the matching process by finding the best match between customer requirements and providers, offers are matched with regard the lowest possible cost available for the customer in the market at the time of the request. The key role of this architecture is to provide the coordination techniques built on a tuple space, adapted to the cloud spot market.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"36 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":"121111814","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}

{"title":"GPRS-Based Robotic Tracking System with Real Time Video Streaming","authors":"Tasneem M. Yousif, Aysha K. Alharam, W. El-Medany, Abeer A. AlKhalaf, Zainab Fardan","doi":"10.1109/W-FiCloud.2016.67","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.67","url":null,"abstract":"This paper presents a remote monitoring system using web-based/mobile application for detecting explosive gases. ROBODEM (Robot-Detection-Explosive-Materials) system aims to develop a remotely controlled explosive gas detection system handled by a LEGO-Mindstrom-NXT robot. The main controller has been designed using Ardunio-Uno microcontroller with IP camera for live video streaming, GPS for live tracking and gas detection system using MQ6 and MQ5 sensors, and. This robot can be controlled either indoor using Bluetooth or outdoor using the Internet. ROBODEM provides sensors results, daily reports, an alarm and notification emails/SMS. The prototype has been tested experimentally and the results are analyzed and discussed.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"18 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":"123942732","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}