2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)最新文献_第2页

Intelligent Solutions for Secure Communication and Collaboration Based on Cloud Technologies 基于云技术的安全通信和协作智能解决方案

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00065

P. Balco, M. Drahosová, Juraj Zelenay, M. Greguš

{"title":"Intelligent Solutions for Secure Communication and Collaboration Based on Cloud Technologies","authors":"P. Balco, M. Drahosová, Juraj Zelenay, M. Greguš","doi":"10.1109/FiCloud.2019.00065","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00065","url":null,"abstract":"The market with data and information is constantly increasing, changing requirements for functionality, technical parameters for storage or transmission capacities. Naturally, topics such as safety, quality, flexibility, productivity, or optimal costs are discussed. For this purpose, the market offers a wide range of intelligent or less progressive technologies and solutions. Because such solutions are very complex with a large number of variables. The users are looking for independent comparisons that can deliver the required answers and recommendations. We respond with our contribution to market requirements and try to answer the questions of the owners and users of the data. We present the results of testing intelligent solutions based on cloud technologies, their advantages and disadvantages. We then present a set of recommendations that are related to secure communication, collaboration and data storage. The outcomes of this contribution will find application in a wide range of institutions, but especially in SMEs or for individuals who are aware of the value of their data and the possible risks associated with their estrangement. These recommendations are platform independent and are for general use.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114494175","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

Cooperative-Intelligent Transport Systems for Vulnerable Road Users Safety 面向弱势道路使用者安全的协同智能交通系统

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00027

J. Casademont, A. C. Augé, David Quiñones, M. Navarro, J. Arribas, Miguel Catalan-Cid

{"title":"Cooperative-Intelligent Transport Systems for Vulnerable Road Users Safety","authors":"J. Casademont, A. C. Augé, David Quiñones, M. Navarro, J. Arribas, Miguel Catalan-Cid","doi":"10.1109/FiCloud.2019.00027","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00027","url":null,"abstract":"Cooperative-Intelligent Transport Systems (C-ITS) are one of the flagships of new coming automotive and communication industries. Mobility needs to be safer and more efficient and C-ITS are the key for this new era. On the one hand, organizations like ETSI, IEEE, SAE, 3GPP or ISO are developing the standards for the new technologies and protocols and, on the other, manufacturers and operators are deploying and testing their first pilots. In this paper, we present a pilot developed by a group of stakeholders, in which vehicles will alert drivers of potential collisions with vulnerable road users riding bicycles. It is a multidisciplinary project where there are different architecture components: C-ITS stations integrated in vehicles, vehicles provided with digital cockpits that show warning messages to the driver, low-cost C-ITS stations attached to bicycles which are equipped with a high precision location system based on the fusion of different information sources as GPS, inertial sensors and Ultra Wide Band ranging and finally communication between C-ITS stations is provided by a network that supports low delay C-V2X communications with a Multi-access Edge Computing which takes routing decisions.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122130726","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

A Model for Successful Adoption of Cloud-Based Services in Indian SMEs 印度中小企业成功采用云服务的模式

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00031

Nitirajsingh Sandu, E. Gide

引用次数: 0

RoboMapper: An Automated Signal Mapping Robot for RSSI Fingerprinting RoboMapper:用于RSSI指纹识别的自动信号映射机器人

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00060

T. Serif, Osman Kerem Perente, Yusuf Dalan

引用次数: 7

A Change Detection Approach for Processing Outdoor Scenes on Hadoop Clusters 基于Hadoop集群的户外场景处理变化检测方法

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00038

Eihab SaatiAlsoruji

引用次数: 1

Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud 深度智能调度:基于云的自动化大数据调度的深度学习方法

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00034

Gaith Rjoub, J. Bentahar, O. A. Wahab, A. Bataineh

{"title":"Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud","authors":"Gaith Rjoub, J. Bentahar, O. A. Wahab, A. Bataineh","doi":"10.1109/FiCloud.2019.00034","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00034","url":null,"abstract":"With the widespread adoption of Internet of Thing (IoT) and the exponential growth in the volumes of generated data, cloud providers tend to receive massive waves of demands on their storage and computing resources. To help providers deal with such demands without sacrificing performance, the concept of cloud automation had recently arisen to improve the performance and reduce the manual efforts related to the management of cloud computing workloads. In this context, we propose in this paper, Deep learning Smart Scheduling (DSS), an automated big data task scheduling approach in cloud computing environments. DSS combines Deep Reinforcement Learning (DRL) and Long Short-Term Memory (LSTM) to automatically predict the Virtual Machines (VMs) to which each incoming big data task should be scheduled to so as to improve the performance of big data analytics and reduce their resource execution cost. Experiments conducted using real-world datasets from Google Cloud Platform show that our solution minimizes the CPU usage cost by 28.8% compared to the Shortest Job First (SJF), and by 14% compared to both the Round Robin (RR) and improved Particle Swarm Optimization (PSO) approaches. Moreover, our solution decreases the RAM memory usage cost by 31.25% compared to the SJF, by 25% compared to the RR, and by 18.78% compared to the improved PSO.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117056727","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: 26

An Updateable Token-Based Schema for Authentication and Access Management in Clouds 一种可更新的基于令牌的云认证和访问管理模式

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00015

Tayyebe Emadinia, Faraz Fatemi Moghaddam, P. Wieder, Shirin Dabbaghi Varnosfaderani, R. Yahyapour

{"title":"An Updateable Token-Based Schema for Authentication and Access Management in Clouds","authors":"Tayyebe Emadinia, Faraz Fatemi Moghaddam, P. Wieder, Shirin Dabbaghi Varnosfaderani, R. Yahyapour","doi":"10.1109/FiCloud.2019.00015","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00015","url":null,"abstract":"Cloud computing is getting universally in production and hence, comprising more valuable information resources. Therefore, providing a secure infrastructure to exchange information is more vital and inevitable. Attackers are looking for a way to penetrate these systems and exploit various techniques, such as account hijack and denial of service attacks, to obtain the information or develop a disorder in the system. The creation of treat models helps to identify the vulnerabilities, prevent potential attacks, and consider appropriate mechanisms to mitigate them. One of these mechanisms is the access control list and the role-based access control list is one of its variants that defines some user groups and allocates resources to specific groups. Token-based authentication is another mechanism which helps to maintain security. When a user requests to access a resource, initially it must be authenticated by a username and represents a token. In this effort, by using the concept of role-based access control and JSON web token framework, a customized framework is proposed and implemented with a higher level of security in comparison to a standard JSON web token framework. Moreover, this proposal has the ability to update the status of access to resources in case of changing access policies by the policy engine.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133394066","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

Inteligent IoTSP - Implementation of Embedded ML AI Tensorflow Algorithms on the NVIDIA Jetson Tx Chip 智能物联网-在NVIDIA Jetson Tx芯片上实现嵌入式ML AI Tensorflow算法

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00049

P. Lipnicki, D. Lewandowski, M. Syfert, Anna Sztyber, P. Wnuk

引用次数: 1

DLA: Detecting and Localizing Anomalies in Containerized Microservice Architectures Using Markov Models 使用马尔可夫模型检测和定位容器化微服务体系结构中的异常

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00036

Areeg Samir, C. Pahl

引用次数: 20

Towards a Formal Approach Based on Bigraphs for Fog Security: Case of Oil and Gas Refinery Plant 基于图形的雾安全形式化方法研究——以油气精炼厂为例

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00017

Ayoub Bouheroum, Zakaria Benzadri, F. Belala

{"title":"Towards a Formal Approach Based on Bigraphs for Fog Security: Case of Oil and Gas Refinery Plant","authors":"Ayoub Bouheroum, Zakaria Benzadri, F. Belala","doi":"10.1109/FiCloud.2019.00017","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00017","url":null,"abstract":"Fog has the advantage of reducing service latency and improving perceived quality, as well as the benefit of total data distribution. However, its security or privacy issues pose major challenges due to the heterogeneity, hierarchical structure, and very large scale infrastructure of Fog architecture. CA-BRS model, an extension of Bigraphical Reactive Systems with Control Agents, is showed to be an appropriate formal semantic framework for Fog architecture specification. It separates, for a complex system, the concerns of computation and physical entities distribution, respectively into two different models: 1) computational or virtual agents' model and 2) physical Bigraph model. The main objective of this paper is twofold; first, we propose a multi-views architecture to Fog computing taking into account security level, then we define, according to this semantic framework, the physical entities of Fog architecture and their geographical dispersion, as well as the virtual entities devoted to represent security functionalities. Our proposal is illustrated through a realistic case study of Oil and Gas Refinery Plant.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125922346","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: 5