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Privacy Protection of data attributes in cloud environment 8

Privacy Protection of data attributes in cloud environment

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8th international conference on Cyber-Enabled distributed computing and Knowledge Discovery (CyberC)

作者： Xu, Xiaolong Wan, Fuqiang Sun, Yanfei Nanjing Univ Posts & Telecommun Coll Comp Nanjing Jiangsu Peoples R China Chinese Acad Sci State Key Lab Informat Secur Beijing Peoples R China Nanjing Univ Posts & Telecommun Sci & Technol Dept Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781509051540

At present, there are a lot of mature encryption mechanisms and access control models for the protection of the data content in cloud environment. However, the research on the privacy protection of data attributes in cloud is still in the initial stage, which can be classified as two types: one is the privacy protection of data attributes during data transmission, including routing information, generation time, size and frequency, etc.;the other is the privacy protection of data attributes as data storage, including relationships between attributes and distribution of attribute values. the current encryption mechanisms and access control models cannot solve the problem perfectly. In this paper, we try to analyze current protection schemes and algorithms for the protection of data attributes, and point out the future research directions.

关键词： cloud computing data privacy data attributes information securtiy

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Explore Maximal Frequent Itemsets for Big Data Pre-processing based on Small Sample in Cloud computing 8

Explore Maximal Frequent Itemsets for Big Data Pre-processin...

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8th international Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

作者： Xu, Gaochao Ding, Yan Wu, Chunyi Zhai, Yunan Zhao, Jia Jilin Univ Coll Comp Sci & Technol Changchun Peoples R China Jilin Conunun Polytech Changchun Peoples R China INESC TEC High Assurance Software Lab Braga Portugal Univ Minho Braga Portugal ChangChun Univ Technol Sch Comp Sci & Engn Changchun Peoples R China

ISBN: (纸本)9781467388184

the data mining issue in big data processing which is based on cloud computing has become a hot research topic. Generally, most of the previous work directly analyzes the data through the existing mining approaches, which may cause problems such as redundant computation, high time complexity, and large storage space. Based on this argument, a novel heuristic approach called PASS (Pre-processing based on Small Sample) has been proposed for finding a small sample composed of the most frequent transactions in big data pre-processing. Taking advantage of the cloud computing which can solve the bottleneck of data mining in distributed environment, PASS directly operates on the transaction database and groups all transactions according to different dimensions. By using the Bitmap-Sort, the most frequent transactions can be screened from each transaction set. Finally, the best-transaction-set is obtained through aggregating all the transaction-elects of each transaction set. the experimental results have shown that PASS significantly avoids producing plenty of candidate sets resulting from join operation, accelerates the maximal frequent itemsets mining, economizes the storage space, and improves the utilization rate of resources simultaneously.

关键词： Big data best-transaction-set cloud computing data mining maximal frequent itemsets small sample

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TwitterNews+: A framework for real time event detection from the twitter data stream 8th

TwitterNews+: A framework for real time event detection from...

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8th international conference on Social Informatics, SocInfo 2016

作者： Hasan, Mahmud Orgun, Mehmet A. Schwitter, Rolf Department of Computing Macquarie University Sydney Australia

ISBN: (纸本)9783319478791

In recent years, substantial research efforts have gone into investigating different approaches to the detection of events in real time from the Twitter data stream. Most of these approaches, however, suffer from a high computational cost and are not evaluated using a publicly available corpus, thus making it difficult to properly compare them. In this paper, we propose a scalable event detection system, TwitterNews+, to detect and track newsworthy events in real time. TwitterNews+ uses a novel approach to cluster event related tweets from Twitter with a significantly lower computational cost compared to the existing state-of-theart approaches. Finally, we evaluate the effectiveness of TwitterNews+ using a publicly available corpus and its associated ground truth data set of newsworthy events. the result of the evaluation shows a significant improvement, in terms of recall and precision, over the baselines we have used. © Springer international Publishing AG 2016.

关键词： Social networking (online)

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A mutual influence-based learning algorithm 8

A mutual influence-based learning algorithm

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8th international conference on Agents and Artificial Intelligence, ICAART 2016

作者： Rudolph, Stefan Tomforde, Sven Hahner, Jorg Organic Computing Group University of Augsburg Eichleitnerstr. 30 Augsburg86159 Germany

ISBN: (纸本)9789897581724

Robust and optimized agent behavior can be achieved by allowing for learning mechanisms within the underlying adaptive control strategies. therefore, a classic feedback loop concept is used that chooses the best action for an observed situation - and learns the success by analyzing the achieved performance. this typically reflects only the local scope of an agent and neglects the existence of other agents with impact on the reward calculation. However, there are significant mutual influences among agents population. For instance, the success of a Smart Camera's control strategy depends (in terms of person detection or 3D-reconstruction) largely on the current strategy performed by its spatially neighbors. In this paper, we compare two concepts to consider such influences within the adaptive control strategy: distributed W-Learning and Q-Learning in combination with mutual influence detection. We demonstrate that the performance can be improved significantly, if taking detected influences into account. Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Learning algorithms

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Collaborative explanation and response in assisted living environments enhanced with humanoid robots 8

Collaborative explanation and response in assisted living en...

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8th international conference on Agents and Artificial Intelligence, ICAART 2016

作者： Bikakis, Antonis Caire, Patrice Clark, Keith Cornelius, Gary Ma, Jiefei Miller, Rob Russo, Alessandra Voos, Holger Department of Information Studies University College London LondonWC1E 6BT United Kingdom Interdisciplinary Centre for Security Reliability and Trust University of Luxembourg LuxembourgL-1359 Luxembourg Department of Computing Imperial College London LondonSW7 2RH United Kingdom

ISBN: (纸本)9789897581724

An ageing population with increased social care needs has provided recent impetus for research into assisted living technologies, as the need for different approaches to providing supportive environments for senior citizens becomes paramount. Ambient intelligence (AmI) systems are already contributing to this endeavour. A key feature of future AmI systems will be the ability to identify causes and explanations for changes to the environment, in order to react appropriately. We identify some of the challenges that arise in this respect, and argue that an iterative and distributed approach to explanation generation is required, interleaved with directed data gathering. We further argue that this can be realised by developing and combining state-of-the art techniques in automated distributed reasoning, activity recognition, robotics, and knowledge-based control. Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Assisted living

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A pub/sub-based fog computing architecture for internet-of-vehicles 8

A pub/sub-based fog computing architecture for internet-of-v...

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8th IEEE international conference on Cloud computing Technology and Science, CloudCom 2016

作者： Shin, Sangjin Seo, Seungmin Eom, Sungkwang Jung, Jooik Lee, Kyong-Ho Department of Computer Science Yonsei University Seoul Korea Republic of

ISBN: (纸本)9781509014453

Fog computing is a promising paradigm in terms of extending cloud computing to an edge network. In a broad sense, fog computing in Internet-of-Vehicles(IoV) provides low-latency services since fog nodes are closely located with moving cars and are locally distributed. In this paper, we propose a fog computing architecture based on a publish/subscribe model. After that, we describe a traffic congestion control scenario using a smart traffic light system which operates on top of the proposed architecture. Furthermore, we propose an upper-level domain ontology in order to enhance the expressivity of knowledge and describe a variety of semantic properties which interlink spatial information in IoV. Finally, we present an active rule where supports the exchange of event-driven messages between publishing and subscribing fog nodes. © 2016 IEEE.

关键词： Vehicles

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Long Life Application Approach for user context management and situation understanding

Long Life Application Approach for user context management a...

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15th international conference on Ubiquitous computing and Communications (IUCC) / 8th international Symposium on Cyberspace and Security (CSS)

作者： Karchoud, Riadh Roose, Philippe Dalmau, Marc Illaramendi, Arantza Ilarri, Sergio Univ Pau LIUPPA Pau France Univ Basque Country UPV EHU Bilbao Spain Univ Zaragoza UNIZAR Zaragoza Spain

ISBN: (纸本)9781509055661

Nowadays, mobile devices host many applications that are directly downloaded and installed from a store. the existence of such a large amount of apps for a myriad of purposes imposes a huge overhead on users, who are in charge of selecting, installing, executing the appropriate apps and deleting them when no longer needed. these applications have mostly neglected to take into account the user's context by proposing static non evolving scenarios of use. In order to address these concerns, comes the idea of a single application constantly executed on the mobile device while automatically handling software components according to the users' needs. Long Life Application is new way to respond to the user's needs in a dynamic and intelligent way. It evolves at run time (include/exclude business functionalities, update interactions mode, migrate executions) according to the user's need. While he/she moves in his/her surroundings, the app understands the occurring events and builds contextually described situations. thus, context awareness and contextual formulation are the main issues discussed in this paper.

关键词： distributed mobile applications Long-life applications Context manipulation smart- ubiquitous computing

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Evidence theory fusion method based on variable granulation rough set 8

Evidence theory fusion method based on variable granulation ...

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8th international conference on Information Technology in Medicine and Education (ITME)

作者： Liu, Peiyu Pan, Xiao Ren, Min Lv, Lin Shandong Normal Univ Sch Informat Sci & Engn Shandong Prov Key Lab Distributed Comp Software N Jinan 250358 Shandong Peoples R China Shandong Univ Finance & Econ Sch Math & Quant Econ Jinan 250014 Shandong Peoples R China Shandong Normal Univ Sch Informat Sci & Engn Jinan 250014 Shandong Peoples R China

ISBN: (纸本)9781509039067

Variable granulation rough set and D-S evidence theory are two kinds of complementary evidence fusion method. In this paper, we discuss the two theories in detail, and proposing an evidence fusion method based on variable granulation rough set according to the contact between the two theories. this method transforms the multi-source evidence fusion problem to the data analysis problem of multi-source information system. We use granulation space to represent evidence space, and use granulation distance to represent evidence distance, so that we can judge if there is a conflict between the evidences or not. And then the corresponding fusion rules are used to set the parameter beta and carry on the evidence fusion respectively. At the end of the paper, an example of calculation shows that the fusion method is effectively.

关键词： Granular computing Variable granulation rough set Multi-source information system D-S evidence theory Approximate space Evidence fusion

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Cloud computing: New paradigms and challenges 12th

Cloud computing: New paradigms and challenges

引用

12th international conference on computing and Information Technology, IC2IT 2016

作者： Tavangarian, Djamshid Faculty of CS and EE Research Group of Computer Architecture University of Rostock Rostock Germany

ISBN: (纸本)9783319404141

Cloud computing is an Internet-based distributed system architecture to provide the customers with services and resources in a scalable and self-manageable fashion. Whatever the user needs and wherever he demands it-Cloud can deliver the regarding software services, platform or infrastructural resources. Services are furnished by software whereas resources are a complex of virtualized computing facilities, storages, and networking hardware provided by the Cloud for end users and enterprises. therefore, the Cloud computing principle leads to a new paradigm in computer architecture. We can divide the whole system into two parts: • the front-end which consists of different kind of mobile devices like tablets, smart phones, PCs, or simply embedded systems, and regarding software as well as • the back-end, which is the Cloud infrastructure consisting of resources and services (as public, private, hybrid, or federated Cloud) with a centralized view for users. © Springer international Publishing Switzerland 2016.

关键词： Computer architecture

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Effects of Correlation-based VM Allocation Criteria to Cloud Data Centers 8

Effects of Correlation-based VM Allocation Criteria to Cloud...

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8th international conference on Cyber-Enabled distributed computing and Knowledge Discovery (CyberC)

作者： Wang, Jing V. Cheng, Chi-Tsun Tse, Chi K. Hong Kong Polytech Univ Dept Elect & Informat Engn Kowloon Hong Kong Peoples R China

ISBN: (纸本)9781509051540

Virtualization technology has been widely adopted in Cloud data centers for adaptive resource provisioning. With virtualization, multiple virtual machines (VMs) can be co-located on a single physical host to yield maximum efficiency. However, VMs which show high CPU utilization correlations to other co-located peers are more likely to trigger overloading incidents. this work provides an analysis on effects of correlation-based VM allocation criteria to Cloud data centers. the correlations among VMs' CPU utilizations are considered as parameters for decision making in VM allocation processes. three different expressions of correlation-based criteria are introduced and evaluated in this work. According to our simulation results obtained from CloudSim with real-world workload traces, Cloud data centers with correlation-based allocation criteria can perform better in terms of reducing energy consumption and avoid committing Service Level Agreements violations than those with power-based criteria.

关键词： Resource Provisioning Cloud computing VM Allocation Correlation CPU utilization

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