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1st international conference on Data Engineering and Communication technology (ICDECT)

作者： Bera, Anupam Kundu, Anirban De Sarkar, Nivedita Ray Mou, De Netaji Subhash Engn Coll Kolkata 700152 India Comp Innovat Res Soc Howrah 711103 W Bengal India

ISBN: (纸本)9789811016783;9789811016776

In this paper, we are going to discuss about big data processing for Internet of Things (IOT) based data. Our system extracts information within specified time frame. Data tracker or interface tracks information directly from big data sources. Data tracker transfers data clusters to data controller. Data controller processes each data cluster and makes them smaller after removing possible redundancies. Big data processing is a challenge to maintain data privacy-related protections. Data controller processes big data clusters and sends them through secure and/or hidden channels maintaining data privacy.

关键词： Big data (BD) distributed file system (DFS) Hadoop distributed network (DN) Internet of things (IOT)

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The role of Gender Privacy in the use of Cloud computing Services 21

The role of Gender Privacy in the use of Cloud Computing Ser...

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21st Pan-Hellenic conference on Informatics, PCI 2017

作者： Michalopoulou, Panayiota Efthymia Kalloniatis, Christos School of Science and Technology International Hellenic University Thermi ThessalonikiGR57001 Greece Privacy Engineering and Social Informatics Laboratory Department of Cultural Technology and Communication University of the Aegean University Hill MytileneGR81100 Greece

ISBN: (纸本)9781450353557

The present study's primary objective is to try to determine whether gender, combined with the educational background of the Internet users, have an effect on the way online privacy is perceived and practiced within the cloud services and specifically in social networking, e-commerce, and online banking. An online questionnaire was distributed through e-mail and the social media (Facebook, LinkedIn, and Google+). Our primary hypothesis is that an interrelationship may exist among a user's gender, educational background, and the way an online user perceives and acts regarding online privacy. An analysis of a representative sample of Greek Internet users revealed that there is an effect by gender on the online users' awareness regarding online privacy, as well as on the way they act upon it. Furthermore, we found that a correlation exists, as well regarding the Educational Background of the users and the issue of online privacy. © 2017 Association for computing Machinery.

关键词： Cloud computing

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IUI'17 workshop summary for SmartLearn - intelligent interfaces for ubiquitous and smart learning 22

IUI'17 workshop summary for SmartLearn - Intelligent interfa...

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22nd international conference on intelligent User Interfaces, IUI 2017

作者： Celik, Ilknur Torre, Ilaria Computer Education and Instructional Technology Middle East Technical University Northern Cyprus Campus Turkey Department of Computer Science Bioengineering Robotics and Systems Engineering University of Genoa Italy

ISBN: (纸本)9781450348935

New technologies are changing the way we learn and teach. Emerging technologies such as social semantic web, cloud computing, and the growing popularity of mobile devices, embedded devices and adaptive context-aware technologies are leading to a paradigm shift in the way educational services are provided. Through technologies and approaches such as ubiquitous and adaptive learning, learning becomes personalized, flexible, and suitable to meet diverse and rapidly changing technologies, environments and learner needs, while opening unprecedented possibilities for education. The aim of the "intelligent Interfaces for Ubiquitous and Smart Learning" workshop has been to bring together researchers from industry and academia to address the challenges of the intelligent user interfaces and smart learning fields, discuss new ideas and present their research to the scientific community in order to enhance the methodologies and techniques for intelligent learning environments for the 21st century. The workshop program, program committee and further details are available on the website (http://***/). Copyright is held by the owner/author(s).

关键词： Computer aided instruction

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distributed Top-K Join Queries Optimizing for RDF Datasets

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international JOURNAL OF WEB SERVICES RESEARCH 2017年第3期14卷 67-83页

作者： Gu, Jinguang Dong, Hao Liu, Zhao Xu, Fangfang Wuhan Univ Sci & Technol Coll Comp Sci & Technol Wuhan Hubei Peoples R China Hubei Prov Key Lab Intelligent Informat Proc & Re Wuhan Hubei Peoples R China

In recent years, the scale of RDF datasets is increasing rapidly, the query research on RDF datasets in the transitional centralized environment is unable to meet the increasing demand of data query field, especially the top-k query. Based on the Spark distributed computing system and the HBase distributed storage system, a novel method is proposed for top-k query. A top-k query plan stA ( Spark Threshold Algorithm) is proposed to reduce the connection operation of RDF data. Furthermore, a better algorithm SSJA (Spark Simple Join Algorithm) is presented to reduce the sorting related operations for the intermediate data. A cache mechanism is also proposed to speed up the SSJA algorithm. The experimental results show that the SSJA algorithm performs better than the stA algorithm in term of the cost and applicability, and it can significantly improve the SSJA's performance by introducing the cache mechanism.

关键词： distributed Optimization RDF Datasets Spark Top-k Query

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Enhancement in Connectivity by distributed Beamforming in WSN 1st

Enhancement in Connectivity by Distributed Beamforming in WS...

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1st international conference on Data Engineering and Communication technology (ICDECT)

作者： Raj, Vandana Singh, Kulvinder Kurukshetra Univ Univ Inst Engn & Technol Kurukshetra Haryana India

ISBN: (纸本)9789811016783;9789811016776

A pair of node is said to be connected if they lie in communication range of each other or more precisely in terms of graph theory, we can say that a pair of node is said to be connected if at least, there is a single path exist between them. This connectivity is affected by displacement, dying node, and communication blockage. Due to this reason, the network topology also changes dynamically. Disconnection results in nonfunctional WSN, although other nodes remain operational. Even owing to one node failure can results in end of whole network and we have to deploy the whole WSN again. We will show an improvement in connectivity and increase in lifetime of WSN and better quality signal by using master-slave architecture of distributive beamforming, if a node failure occurs. This approach requires no receiver feedback, other approaches such as one-bit feedback requires feedback from receiver for correctly superimposition of signals from two or more sources on receiver and therefore not an energy-efficient approach. The simulations of the proposed approach are performed and the acquired results highlight the benefits of this proposal.

关键词： Wireless sensor network distributed beamforming Master-slave architecture Directional antenna

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distributed computing and Artificial Intelligence, 14th international conference

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2017年

作者： Sigeru Omatu Sara Rodrguez Gabriel Villarrubia Pedro Filipe Faria Paweł Sitek Javier Prieto

ISBN: (纸本)9783319624099

The 14th international Symposium on distributed computing and Artificial Intelligence 2017 (DCAI 2017) provided a forum for presenting the application of innovative techniques to study and solve complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to advancing the development of systems that can meet the ever-growing demands of todays society. The book brings together past experience, current work and promising future trends in distributed computing, artificial intelligence and their applications to efficiently solve real-world problems. It combines contributions in well-established and evolving areas of research, including the content of the DCAI 17 Special Sessions, which focused on multi-disciplinary and transversal aspects, such as AI-driven methods for multimodal networks and processes modeling, and secure management towards smart buildings and smart grids. The symposium was jointly organized by the Polytechnic of Porto, the Osaka Institute of technology and the University of Salamanca. The latest event was held in Porto, Portugal, from 21st to 23rd June 2017.

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Security test for application software based on SPN

Advances in Intelligent Systems and Computing

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Advances in intelligent Systems and computing 2018年 613卷 240-249页

作者： Pan, Ping Zhu, Xuan Mao, Xinyue College of Computer Science and Technology Guizhou University GuiyangGuizhou550025 China

ISBN: (纸本)9783319607436

Security is an important attribute of software, some of the current software security testing methods are often based on the accurate parameters or on the basis of functional structure, and cannot adapt to the complex environment and safety requirements, particularly in scale distributed environment. Based on stochastic Petri nets (SPN) theory, this paper analyzes the security of the application software by the SPN reliability measurement parameters, and then react upon the analysis and design of the software system, in order to explore a kind of application software security testing method based on SPN model. With example analysis, the method can find the disable system state or state combination intuitively, rapidly, and effectively, meanwhile, provides a new method for the application software security test. © 2018, Springer international Publishing AG.

关键词： Application programs

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An Efficient Dynamic Priority-Queue Algorithm Based on AHP and PSO for Task Scheduling in Cloud computing 1

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16th international conference on Hybrid intelligent Systems (HIS) / 8th World Congress on Nature and Biologically Inspired computing (NaBIC)

作者： Ben Alla, Hicham Ben Alla, Said Ezzati, Abdellah Touhafi, Abdellah Hassan 1 Univ LAVETE Lab Sci & Tech Fac Sci & Tech FacMath & Comp Sci Dept Settat 26000 Morocco Vrije Univ Brussel Dept Elect & Informat ETRO Pl Laan 2 B-1050 Brussels Belgium

ISBN: (数字)9783319529417

ISBN: (纸本)9783319529417;9783319529400

Nowadays Cloud computing is an emerging technology in the area of parallel and distributed computing. Task scheduling is one of the major issues in cloud computing, which plays an important role to improve the overall performance and services of the cloud. Task scheduling in cloud computing means assign best suitable resources for the task to be executed with the consideration of different parameters like execution time, user priority, cost, scalability, throughput, makespan, resource utilization and so on. In this paper, we address the challenge of task scheduling, and we consider one of most critical issues in scheduling process such as the task priorities. The goal of this paper is to propose an efficient Dynamic Priority-Queue (DPQ) algorithm based on Analytic Hierarchy Process (AHP) with Particle Swarm Optimization (PSO) algorithm. The proposed algorithm DPQ-PSO gives full consideration to the dynamic characteristics of the cloud computing environment. Further, the proposed algorithm has been validated through the CloudSim simulator. The experimental results validate that the proposed approach can effectively achieve good performance, user priority, load balancing, and improve the resource utilization.

关键词： Cloud computing PSO algorithm AHP DPQ-PSO algorithm Task scheduling Dynamic queues

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distributed Cooperative Algorithm to Mitigate Hello Flood Attack in Cognitive Radio Ad hoc Networks (CRAHNs) 1st

Distributed Cooperative Algorithm to Mitigate Hello Flood At...

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1st international conference on Computational Intelligence and Informatics (ICCII)

作者： Gupta, Anjali Hussain, Muzzammil Cent Univ Rajasthan Dept Comp Sci & Engn Kishangarh 305817 Rajasthan India

ISBN: (纸本)9789811024719;9789811024702

Cognitive radio technology was first introduced by J. Mitola in 1999 to solve the problem of spectrum scarcity for wireless communication. A Cognitive Radio Ad hoc Network (CRAHN) is one of the cognitive radio-based architectures in which wireless unlicensed nodes communicate in infrastructureless environment. Each node in CRAHN has the cognitive capability of sensing the surrounding radio environment for accessing the underutilized licensed spectrum in an opportunistic manner. But those unlicensed users (secondary users) should not make any interference to the communication of licensed users (primary users). In CRAHNs, each node operates as an end system and also as a router to forward packets for multi-hop communication. Due to the dynamic topology, time and space-varying spectrum availability and lack of centralized system, CRAHNs are vulnerable to various security attacks. Hello flood attack is a network layer attack in CRAHNs which can drain off the limited resources of CRAHN nodes by making excessive flooding of hello messages in the network. The proposed distributed cooperative algorithm mitigates the hello flood attack in CRAHNs.

关键词： Cognitive radio ad hoc networks Attacks Hello flood attack

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Challenges and Opportunities in Big Data and Cloud computing 1st

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1st international conference on Future intelligent Vehicular Technologies (Future 5V)

作者： Sohail, Hassan Zameer, Zeenia Ahmed, Hafiz Farhan Iqbal, Usama Shah, Pir Amad Ali Univ South Asia Comp Sci Dept Lahore Pakistan

ISBN: (纸本)9783319512075;9783319512068

In this paper we have discussed the approaches and complexity of big data analytics issues in the perspective of cloud computing. Big data and cloud computing are novel methods of distributing computational resources. Currently big data and cloud computing has engrossed romantic behavior, which needs handling huge quantity of data quickly and securely. In the modern era the size of data is dramatically increasing due to cloud computing technology, which poses various challenges with the variety, security, and size of data. Cloud computing is the newest and the main kind of distributed computing systems and it wraps most of their features. It has already been broadly employed for its huge merits and its capability to handle large amount of data like workflows and big data applications. We have identified some gaps in technology, its challenges, limitation, and applications of big data and cloud computing from theoretical perspective. Moreover, this paper give recommendations to the researchers on future direction sand suggests different solutions to the challenges and limitations.

关键词： Big data Cloud computing Cloud data Security

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