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检索条件"任意字段=International Conference on WWW/Internet 2017 and Applied Computing 2017"

共 176 条记录，以下是71-80 订阅

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Comparison of classical and quantum cryptography using QKD simulator

Comparison of classical and quantum cryptography using QKD s...

引用

2017 international conference on Energy, Communication, Data Analytics and Soft computing, ICECDS 2017

作者： Lakshmi, P. Siva Murali, G. Computer Science and Engineering JNTUACEP PulivendulaA.P India

ISBN: (纸本)9781538618868

In internet and network applications the most challenging aspects is the security. The importance and the value of exchanged data over internet is increasing due to growth in internet and network applications. Cryptography converts the information from normal form to unreadable form, in the computer security. The one encryption algorithm is identified and differentiated from another by two main characteristics that are speed and the efficiency and have the ability to secure the protected data against attacks. Fundamental laws of the quantum physics are applied by Quantum Cryptography to guarantee the secure communication between the legitimate users, namely Alice and Bob. Quantum mechanics is used by Quantum Key Distribution to guarantee the secure communication. This paper provides the comparative analysis on Classical and Quantum Cryptography using various cryptographic algorithms to identify the best algorithm in classical or quantum cryptography. © 2017 IEEE.

关键词： Quantum cryptography

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Improving Reliable Cloud computing Environment Using Fuzzy Logic 20

Improving Reliable Cloud Computing Environment Using Fuzzy L...

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20th international conference of Computer and Information Technology (ICCIT)

作者： Mondal, Himadri Shekhar Hasan, Md. Tariq Hossain, Md. Bellal Mandal, Rajib Khulna Univ Elect & Commun Engn Discipline Khulna Bangladesh

ISBN: (纸本)9781538611500

Cloud computing technology has added a dynamic value with its dynamic features in the internet based system. Because of its emerging applied fields, it has become much popular technology. In this paper we used Fuzzy logic to calculate reliability in cloud computing environment. We've used Adaptability, Processor Speed and Performance in the input section. Using the Fuzzy system we've shown the Reliability of the system which is shown in the output section. We mainly focused on improving Reliability of the cloud computing environment.

关键词： Cloud computing Reliability Fuzzy logic

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Using IoT technology to improve online education through data mining

Using IoT technology to improve online education through dat...

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2017 IEEE international conference on applied System Innovation, ICASI 2017

作者： Njeru, Alexander Muriuki Omar, Mwana Said Yi, Sun Paracha, Samiullah Wannous, Muhammad Department of Information Systems Graduate School of Information Technology Kobe Institute of Computing Japan United Nations University China

ISBN: (纸本)9781509048977

Online learning is rapidly expanding in both the number of programs and users. Concerns are arising on how to improve the quality of materials and delivery methods. This research intends to explore the potential use of internet of Things (IoT) to collect data, which will be analyzed to get information useful for decision making to improve the online programmes in Higher Education Institutions (HEIs) © 2017 IEEE.

关键词： Decision making

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An information divergence based approach to detect flooding DDoS attacks and Flash Crowds 3

An information divergence based approach to detect flooding ...

引用

3rd international conference on applied and Theoretical computing and Communication Technology (iCATccT)

作者： Kaur, Gursharanjeet Behal, Sunny Shifali SBS State Technical Campus Ferozepur Punjab India Ferozepur College of Engineering and Technology Ferozepur Punjab India

ISBN: (纸本)9781538611449

Distributed Denial of Service (DDoS) attacks poses a severe threat to widely used internet-based services and applications. Currently, during in the technology era, the internet is the only real exigent that delivers a glut of services like businesses, banking, communication, education, e-commerce, etc. Distributed Denial of Service attack aims to deny access by legitimate users to shared services or resources. Because of the vulnerability of the initial style of the web, attackers can merely mimic the patterns of legitimate network traffic. The prevailing fingerprint or feature-based methods are not appropriate to detect a recent DDoS attack. In this paper our goal is to detect a DDoS attack as well as Flash Crowd using various information distance measures such as Kullbeck-Leibler, Hellinger and Manhattan distance to measure the flow similarity among the traffic. Further the detection parameters such as Detection Rate, Classification Rate, Precision Rate and False Positive Rate is computed and shows that the Kullbeck-Leibler detection metric effectively detects the attack as compared to the other two.

关键词： DDoS attack Flash crowd distance measurement Flow similarity

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Towards Container Orchestration in Fog computing Infrastructures 41

Towards Container Orchestration in Fog Computing Infrastruct...

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41st IEEE Annual Computer Software and Applications conference (COMPSAC)

作者： Hoque, Saiful de Brito, Mathias Santos Magedanz, Thomas Willner, Alexander Keil, Oliver Tech Univ Berlin Berlin Germany Fraunhofer FOKUS Software Based Infrastruct NGNI Berlin Germany

ISBN: (纸本)9781538603673

The Cloud computing paradigm promoted the outsourcing of IT infrastructure and enterprise applications paving the way to save costs of building and maintaining computing infrastructures on-premise. In this environment, scale up of applications to attend demands in high peaks become easier and highly automated. Virtualization was a key technology to enable these characteristics. Nowadays, Container technology became popular as an alternative to Virtual Machines, and is being widely applied, as a consequence, Orchestration tools are being extensively applied in the Cloud environment. Despite its success, when it comes to the internet of Things (IoT), Cloud computing falls short to meet several requirements. Fog computing appear as a complimentary technology to the Cloud to deliver the missing requirements in the IoT scene. Managing services deployed in a Fog Environment is a complex task and infrastructure management and orchestration tools can make it seamless. In this paper, we evaluate how Containers can affect the overall performance of applications in Fog Nodes. We analyze different Container Orchestration tools and how they meet Fog requirements to run applications. We also propose a Container Orchestration Framework for Fog computing infrastructures.

关键词： Fog computing Container Orchestration internet of Things

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A Cost Efficient Design of a Multi-Sink Multi-Controller WSN in a Smart Factory 19

A Cost Efficient Design of a Multi-Sink Multi-Controller WSN...

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19th IEEE international conference on High Performance computing and Communications (HPCC) / 15th IEEE international conference on Smart City (SmartCity) / 3rd IEEE international conference on Data Science and Systems (DSS)

作者： Faragardi, Hamid Reza Fotouhi, Hossein Nolte, Thomas Rahmani, Rahim Malardalen Univ MRTC POB 883 SE-72123 Vasteras Sweden Stockholm Univ Stockholm Sweden

ISBN: (纸本)9781538625880

internet of Things (IoT), one of the key elements of a smart factory, is dubbed as Industrial IoT (IIoT). Software defined networking is a technique that benefits network management in IIoT applications by providing network reconfigurability. In this way, controllers are integrated within the network to advertise routing rules dynamically based on network and link changes. We consider controllers within Wireless Sensor Networks (WSNs) for IIoT applications in such a way to provide reliability and timeliness. Network reliability is addressed for the case of node failure by considering multiple sinks and multiple controllers. Real-time requirements are implicitly applied by limiting the number of hops (maximum path-length) between sensors and sinks/controllers, and by confining the maximum workload on each sink/controller. Deployment planning of sinks should ensure that when a sink or controller fails, the network is still connected. In this paper, we target the challenge of placement of multiple sinks and controllers, while ensuring that each sensor node is covered by multiple sinks (k sinks) and multiple controllers (k' controllers). We evaluate the proposed algorithm using the benchmark GRASP-MSP through extensive experiments, and show that our approach outperforms the benchmark by lowering the total deployment cost by up to 24%. The reduction of the total deployment cost is fulfilled not only as the result of decreasing the number of required sinks and controllers but also selecting cost-effective sinks/controllers among all candidate sinks/controllers.

关键词： Industrial internet of Things wireless sensor networks software defined networking cloud computing fog computing

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internet-of-things and Cloud computing for Smart Industry: A Systematic Mapping Study 5

Internet-of-things and Cloud Computing for Smart Industry: A...

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5th international conference on Enterprise Systems (ES) - Industrial Digitalization by Enterprise Systems

作者： Breivold, Hongyu Pei ABB Corp Res Ind Internet Vasteras Sweden

ISBN: (纸本)9781538609361

Intelligent industry and manufacturing requires obtaining relevant sensor data and process information in real-time from all components in the manufacturing value-chain. It is envisioned that smart industry is achieved by embedding connectivity into industrial products, using Cloud and internet-of-things (IoT) to leverage intelligence and actionable knowledge for machines, autonomous collaboration among machines, and integration of products and additional value-added services. For complex industrial systems, it is important to ensure a smooth transformation towards the smart industry vision despite of the associated challenges with respect to e.g., transition from the traditional multi-layered architecture to an open structured service-oriented automation system architecture, changes of business models and strategies, legacy system migration to cloud environment, etc. The focus of this study is therefore to examine the status of the existing research on cloud computing and IoT solutions that enable this transformation towards a smart industry. We applied the systematic mapping study method to obtain an overview of the existing related research literatures that focus on smart industry, industrial automation and manufacturing perspective. We also discuss the future research areas that need to be enhanced.

关键词： systematic mapping industrial internet-of-things cloud computing smart industry

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Service-oriented Software Defined Optical Networks for Cloud computing

Service-oriented Software Defined Optical Networks for Cloud...

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international conference on Cloud Technology and Communication Engineering (CTCE)

作者： Liu, Yuze Li, Hui Ji, Yuefeng Beijing Univ Technol Beijing Adv Innovat Ctr Future Internet Technol Beijing Peoples R China

With the development of big data and cloud computing technology, the traditional software-defined network is facing new challenges (e.g., ubiquitous accessibility, higher bandwidth, more flexible management and greater security). This paper proposes a new service-oriented software defined optical network architecture, including a resource layer, a service abstract layer, a control layer and an application layer. We then dwell on the corresponding service providing method. Different service ID is used to identify the service a device can offer. Finally, we experimentally evaluate that proposed service providing method can be applied to transmit different services based on the service ID in the service-oriented software defined optical network.

关键词： Fiber optic networks

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Energy Efficient Resource Management and Task Scheduling for IoT Services in Edge computing Paradigm 15

Energy Efficient Resource Management and Task Scheduling for...

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15th IEEE international Symposium on Parallel and Distributed Processing with Applications (ISPA) / 16th IEEE international conference on Ubiquitous computing and Communications (IUCC)

作者： Li, Songyuan Huang, Jiwei Beijing Univ Posts & Telecommun Sch Comp Sci Beijing 100876 Peoples R China Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China

ISBN: (纸本)9781538637906

With the growing popularity of the internet of Things (IoT), energy efficiency has been a critical concern during the design and development of IoT service systems. Meanwhile, edge computing has drawn significant attention as a burgeoning computing paradigm. This paper studies the energy efficiency issue of IoT systems by proposing a joint scheme of resource allocation and task scheduling under the edge computing paradigm. Specifically, dynamic processes of the IoT services and system are formulated by generalized queueing network models, based on which quantitative analyses of performance and energy consumption are conducted. The resource management and task scheduling are formulated by Markov Decision Process (MDP), which can balance the tradeoff between energy costs and QoS requirements. To attack the challenge of MDP search space explosion due to the large scale of IoT systems, Ordinal Optimization (OO) techniques are applied to the MDP algorithms, which are able to significantly narrow the search of MDP by slightly softening the optimization objective to a good enough subset. Finally, we conduct simulation experiments based on real-world IoT data. Evaluations and comparisons demonstrate that our approach is effective and efficient in practice.

关键词： internet of Things (IoT) resource management task scheduling energy efficiency Markov Decision Process Ordinal Optimization

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A Brief Analysis of Development Situations and Trend of Cloud computing 1

A Brief Analysis of Development Situations and Trend of Clou...

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1st international Global on Renewable Energy and Development (IGRED)

作者： Yang, Wenyan Dalian Vocat & Tech Coll Dalian 116035 Peoples R China

in recent years, the rapid development of internet technology has radically changed people's work, learning and lifestyles. More and more activities are completed by virtue of computers and networks. The amount of information and data generated is bigger day by day, and people rely more on computer, which makes computing power of computer fail to meet demands of accuracy and rapidity from people. The cloud computing technology has experienced fast development, which is widely applied in the computer industry as a result of advantages of high precision, fast computing and easy usage. Moreover, it has become a focus in information research at present. In this paper, the development situations and trend of cloud computing shall be analyzed and researched.

关键词： Cloud computing

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