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共 177 条记录，以下是101-110 订阅

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Research on Finding Base Stations Related to a Specific Region 1

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4th international conference on internet of Vehicles (IOV)

作者： Wang, Hangman Zhao, Xiaoqi Xiong, Zijie Wang, Yulong Beijing Univ Posts & Telecommun Inst Network Technol Engn Res Ctr Informat Network Minist Educ Beijing Peoples R China

ISBN: (数字)9783319723297

ISBN: (纸本)9783319723297;9783319723280

In order to study the issue of resource search for edge computing, a method is proposed for the first time, which can not only locating base stations within a designed region, also search for a base station locating outside the region but with a coverage overlapping the region. Mathematical model is applied to simulation of the shape and location of the region, the rectangular bounding box is used to narrow the searching scope. Moreover, the use of the ray method makes contributions to determining whether the base station in the region, and the implementation of the genetic algorithm helps to find the largest internal rectangle of the region, thus reduce the amount of calculation.

关键词： Genetic algorithm Base station search Intelligent computing Edge computing

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Scalable distributed-computing iot applied architecture with semantic interoperable gateway 17

Scalable distributed-computing iot applied architecture with...

引用

3rd Africa and Middle East conference on Software Engineering, AMECSE 2017

作者： Seif, Abdalla Attia El-Saber, Nissreen Zagazig University Zagazig Egypt

ISBN: (纸本)9781450355124

Interoperability and enormous data processing remain significant challenges for internet of Things' Systems. High heterogeneity in protocols, Vendors, data formats and worldwide acceptable standards' scarcity increase Interoperability Challenge. Depending on a centralized cloud server for data processing increased data latency and turn brokered systems into a bottleneck. In this paper, we proposed generic IoT applied architecture based on scalable distributed computing model from sensor node passing by IoT gateway to Cloud Server to minimize data latency and mitigate data processing burden on a centralized server. Our architecture is also based on an interoperable gateway using semantic web technologies to provide Interoperability among heterogeneous IoT devices. © 2017 Association for computing Machinery.

关键词： Interoperability

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Big data and new data warehousing approaches 2017

Big data and new data warehousing approaches

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2017 international conference on Cloud and Big Data computing, ICCBDC 2017

作者： Pticek, Marina Vrdoljak, Boris University of Zagreb Faculty of Electrical Engineering and Computing Unska 3 Zagreb10000 Croatia

ISBN: (纸本)9781450353434

Big data are a data trend present around us mainly through internet -social networks and smart devices and meters -mostly without us being aware of them. Also they are a fact that both industry and scientific research needs to deal with. They are interesting from analytical point of view, for they contain knowledge that cannot be ignored and left unused. Traditional system that supports the advanced analytics and knowledge extraction -data warehouse -is not able to cope with large amounts of fast incoming various and unstructured data, and may be facing a paradigm shift in terms of utilized concepts, technologies and methodologies, which have become a very active research area in the last few years. This paper provides an overview of research trends important for the big data warehousing, concepts and technologies used for data storage and (ETL) processing, and research approaches done in attempts to empower traditional data warehouses for handling big data.. © 2017 Association for computing Machinery.

关键词： MapReduce

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Unit and Integration Testing of Modular Cloud Services 31

Unit and Integration Testing of Modular Cloud Services

引用

31st IEEE international conference on Advanced Information Networking and Applications (IEEE AINA)

作者： Sotiriadis, Stelios Lehmets, Andrus Petrakis, Euripides G. M. Bessis, Nik Univ Toronto Comp Engn Res Grp Toronto ON Canada Elvior Andrus Lehtmets Tallinn Estonia Tech Univ Crete Sch Elect & Comp Engn Khania Greece Edge Hill Univ Ormskirk England

ISBN: (纸本)9781509060290

Cloud computing and the future internet concept highlight new requirements for the software engineering phases including testing and validation of modular web services. A major reason is because cloud applications are developed by services belonging to different providers, thus making software testing a really challenging issue. In this work, we propose a testing methodology that includes two fold testing actions;a unit testing of cloud service APIs following white and black box techniques and an integration testing strategy by identifying services that could interface with each other. In addition, we present the Elvior TestCast T3 (TTCN-3) testing tool for automation of use case testing. We demonstrate the results of the methodology when applied to different cloud services and we present a discussion of our conclusions for a real world use case, in which we applied this methodology.

关键词： Cloud computing Cloud services Cloud service testing TestCast TTCN-3

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Group Diffie Hellman Key Exchange Algorithm Based Secure Group Communication 3

Group Diffie Hellman Key Exchange Algorithm Based Secure Gro...

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

作者： Lavanya, R. Sathyanarayana, S. V. JNNCE DECS Shivamogga Karnataka India JNNCE Dept ECE Shivamogga Karnataka India

ISBN: (纸本)9781538611449

With the rapid development in the field of internet, most of the communication takes place through insecure network. Rather than one to one communication, group communication incur significant utilization of the bandwidth. Security of an information can be achieved by the process of encryption and decryption of data with the secret group key. Security also depends on the efficient management of the group secret key. The proposed algorithm for group secret key generation is based on the Diffie-Hellman Key Exchange algorithm. In group communication, the user may join or leave the group at any time. In order to achieve security requirements like confidentiality, authentication, integrity, forward secrecy and backward secrecy, the group key must be updated immediately after the membership change. In this regard algorithms are described for initial group setup, group member withdrawal and group member inclusion. The generated group secret key is used in the symmetric encryption and decryption of an image. Symmetric encryption methods like Advanced Encryption Standard (AES) and Cipher Feedback mode (CFB) algorithms are used for encryption and decryption of an image. The performance analysis of the secret key in an image encryption/decryption is obtained by comparing the results of entropy, correlation coefficient and histogram band of an original image with an encrypted image. It is observed that, from the value of entropy, correlation coefficient and histogram band, that an encrypted image does not contain any residual information. So that it is very difficult for the unauthorized recipient to appreciate the data transmitted.

关键词： Authentication confidentiality integrity forward secrecy backward secrecy diffie-hellman key exchange advanced encryption standard cipher feedback mode entropy corelation coefficient and histogram band

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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

引用

2017 international conference on Future Networks and Distributed Systems, ICFNDS 2017

ISBN: (纸本)9781450348447

The proceedings contain 56 papers. The topics discussed include: intelligent FH sequence for high security satellite communication: the generation, performance analysis and application;from IoT to ephemeral computing: understanding cyber-physical interactions;towards sustainable smart society: big data driven approaches;towards sustainable smart society: big data driven approaches;cooperative hybrid wireless-powerline channel transmission for peer-to-peer energy trading and sharing system;a survey on authentication techniques for the internet of things;an improved dynamic load balancing algorithm applied to a cafeteria system in a university campus;and a survey on data confidentiality and privacy in cloud computing.

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PPMFA: A new fuzzy CLUSTERING algorithm based on pursuit project model 17

PPMFA: A new fuzzy CLUSTERING algorithm based on pursuit pro...

引用

2017 international conference on E-Business and internet, ICEBI 2017

作者： Geng, Xinqing Han, Dan Che, Yuanyuan Tao, Fengmei College of Mathematics and Information Science Anshan Normal University Anshan China Computing Center Anshan Normal University Anshan China

ISBN: (纸本)9781450352086

In this paper, A new fuzzy algorithm(PPMFA) based on pursuit project model is presented, which is applied to the text clustering. The main defect of traditional methods of fuzzy clustering algorithm based on partition is to know the number of clustering in advance. The text eigenvector is acquired based on the vector space model (VSM) and *** method. The pursuit project model is applied to the fuzzy neural network's structure, which achieves clustering. The experiment shows the precision and the efficiency of clustering PPMFA are higher than traditional fuzzy clustering algorithm FCM.

关键词： Fuzzy clustering

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DDoS attack detection using machine learning techniques in cloud computing environments 3

DDoS attack detection using machine learning techniques in c...

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3rd international conference of Cloud computing Technologies and Applications, CloudTech 2017

作者： Zekri, Marwane Kafhali, Said El Aboutabit, Noureddine Saadi, Youssef IPOSI Laboratory National School of Applied Sciences Hassan 1st Univ Settat Morocco Computer Networks Mobility and Modeling Laboratory National School of Applied Sciences Hassan 1st Univ Settat Morocco Computer Networks Mobility and Modeling Laboratory Faculty of Sciences and Technology Hassan 1st Univ Settat Morocco

ISBN: (纸本)9781538611159

Cloud computing is a revolution in IT technology that provides scalable, virtualized on-demand resources to the end users with greater flexibility, less maintenance and reduced infrastructure cost. These resources are supervised by different management organizations and provided over internet using known networking protocols, standards and formats. The underlying technologies and legacy protocols contain bugs and vulnerabilities that can open doors for intrusion by the attackers. Attacks as DDoS (Distributed Denial of Service) are ones of the most frequent that inflict serious damage and affect the cloud performance. In a DDoS attack, the attacker usually uses innocent compromised computers (called zombies) by taking advantages of known or unknown bugs and vulnerabilities to send a large number of packets from these already-captured zombies to a server. This may occupy a major portion of network bandwidth of the victim cloud infrastructures or consume much of the servers time. Thus, in this work, we designed a DDoS detection system based on the C.4.5 algorithm to mitigate the DDoS threat. This algorithm, coupled with signature detection techniques, generates a decision tree to perform automatic, effective detection of signatures attacks for DDoS flooding attacks. To validate our system, we selected other machine learning techniques and compared the obtained results. © 2017 IEEE.

关键词： Denial-of-service attack

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The use of Cloud computing and mobile technologies to facilitate access to an e-learning solution in higher education context work in progress

The use of Cloud Computing and mobile technologies to facili...

引用

2017 IEEE international conference on applied System Innovation, ICASI 2017

作者： Kabiri, Mohammad Nazim Wannous, Muhammad Department of Information Systems Graduate School of Information Technology Kobe Institute of Computing Japan

ISBN: (纸本)9781509048977

cloud computing offers great opportunities for higher education institutions to take advantage of e-learning solutions without having to invest in hardware, software or infrastructure. Kabul Polytechnic (KPU) is a major public university in the capital city of Afghanistan providing higher education in various engineering disciplines. Student at KPU go to winter vacation after the fall semester which usually lasts for 3 months depending on weather conditions. Due to this long vacation and lack of interaction and communication with faculty members, most of the students forget a major portion of what they had learned in the preceding semester. This leads to critical challenges in the upcoming make-up examinations for the students who had failed any subject(s). To overcome these challenges, we propose a solution based on cloud computing and mobile technologies to facilitate access to courses and learning materials anytime, anywhere. The solution consists of two parts: (i) Google Course Builder (An Open Source e-Learning Platform) which we customized and deployed on Google App Engine (GAE) and (ii) an Android Application which we developed to facilitate quick and easy access to learning contents on mobile devices. To measure success, we divided the failed students of computer networking course at KPU into two groups where only one group of students were registered to interact with the system during the winter vacation. As a result, there was an increase of 12% in the average score and 25% in the passing rate of the registered group. In addition, the system functionalities and ease of use were positively evaluated by participants and some new features were also proposed. On the other hand, latency in service delivery and low performance, especially in the peak times were reported due to the low speed internet and limitation in GAE free trial plan. © 2017 IEEE.

关键词： E-learning

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Joint power allocation and relay selection for relay assisted D2D communication with channel uncertainties 17

Joint power allocation and relay selection for relay assiste...

引用

17th IEEE international conference on Smart Technologies, EUROCON 2017

作者： Uyoata, Uyoata Dlodlo, Mqhele Department of Electrical Engineering University of Cape Town Cape Town South Africa

ISBN: (纸本)9781509038435

Today many users with their smart mobile devices enjoy the benefits of broadband internet services. This is primarily enabled by pushing computing, control, data storage and processing into the cloud. However, the cloud encounters growing limitations, such as reduced latency, high mobility, high scalability and real-time execution in order to meet the computing and intelligent networking demands for the next 5G mobile and wireless network. A new paradigm called Fog computing and Networking, or briefly Fog has emerged to resolve these limits. Fog distributes computing, data processing, and networking services closer to the end users. It is an architecture where distributed edge and user devices collaborate with each other and with the clouds to carry out computing, control, networking, and data management tasks. Fog applied in 5G network can significantly improve network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This paper evaluates the quality of cloud and fog computing and networking orchestrated services in 5G mobile and wireless network in terms of energy efficiency. © 2017 IEEE.

关键词： Fog computing

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