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2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing最新文献

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A Trajectory Preserving Method Based on Semantic Anonymity Proxy 一种基于语义匿名代理的轨迹保持方法
Meng Li, Sheng Cao, Zhiguang Qin
Privacy protection attracts more and more attention from researchers to users. Due to the unreliability of mobile devices which often leads confidential information such as personal trajectory data divulged. We propose a new trajectory privacy protection method based on Semantic Anonymity Proxy proved to have some excellent characteristics. We alter the traditional ways which used to rely on the center anonymous server, adopting semantic anonymity and proxy request to construct the SAP tree on account of background map model to satisfy the location based services. The comparative results have shown that the new method achieves better performance than the classic ways on higher efficiency and quality.
隐私保护越来越受到研究者和用户的关注。由于移动设备的不可靠性往往导致个人轨迹数据等机密信息泄露。提出了一种新的基于语义匿名代理的轨迹隐私保护方法,该方法具有良好的特性。我们改变了传统的依赖中心匿名服务器的方式,采用语义匿名和代理请求的方式,根据后台地图模型构建SAP树,以满足基于位置的服务。对比结果表明,新方法在效率和质量上都优于传统方法。
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引用次数: 1
Research on Assessment Theory of Simulation Credibility 仿真可信度评估理论研究
Zhiwu Guo
The purpose of this paper is to give an overview of simulation credibility, Verification, Validation and Accreditation (VV&A), and present a comprehensive life cycle of Credibility Assessment Scale (CAS), assessment methods, the types of interfacing system elements, and the weighting methods. The CAS help the simulation practitioners in defining the requirements, establishing conceptual model, designing the simulation system, investigating solution techniques, programming the simulation model, designing experiments, experimenting, redefining the model, and presenting the simulation results. Practitioners can follow the CAS procedure presented herein and increase the credibility in conducting a simulation study.
本文概述了仿真可信性、验证性、有效性和认可性(VV&A),并给出了可信性评估量表(CAS)的全生命周期、评估方法、接口系统要素类型和权重方法。CAS帮助仿真从业者定义需求、建立概念模型、设计仿真系统、研究解决方案技术、编程仿真模型、设计实验、实验、重新定义模型和展示仿真结果。从业人员可以遵循本文提出的CAS程序,增加进行模拟研究的可信度。
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引用次数: 1
A Resource Allocation Scheme for MBMS with QoS Guarantees 具有QoS保证的MBMS资源分配方案
Yulong Wang, Xiaoxiang Wang, Mingming Li, Zhiguo Liu
Multimedia Broadcast/Multicast Service (MBMS) uses point-to-multipoint transmission mode, which can effectively improve the frequency utilization efficiency of the mobile communication system and becomes a hot research field of mobile communication. However, as the frequency selectivity of the wireless channel, the throughput of the MBMS system is always limited by the user with the worst channel quality. In order to overcome the frequency selective fading, resource allocation methods is widely studied in the research. In this paper, the improved resource allocation algorithm based on user QoS is proposed. Firstly, the subcarriers are allocated according the users' urgency degree guaranteeing the QoS of all users, Secondly, the remaining subcarriers are allocated by the throughput maximization rule, Finally, the system throughput is further improved by the bit loading step with greedy algorithm. Simulation result shows that the proposed resource allocation scheme cannot effectively guarantee the QoS of all users in the group, but also can improve the system throughput as much as possible.
多媒体广播/组播业务(Multimedia Broadcast/Multicast Service, MBMS)采用点对多点传输方式,可以有效提高移动通信系统的频率利用效率,成为移动通信领域的一个研究热点。然而,由于无线信道的频率选择性,MBMS系统的吞吐量总是受到信道质量最差的用户的限制。为了克服频率选择性衰落,资源分配方法在研究中被广泛研究。本文提出了一种改进的基于用户QoS的资源分配算法。首先,根据用户的紧急程度分配子载波,保证所有用户的QoS;其次,根据吞吐量最大化原则分配剩余的子载波;最后,通过贪婪算法的比特加载步骤进一步提高系统吞吐量。仿真结果表明,所提出的资源分配方案既能有效保证组内所有用户的QoS,又能最大限度地提高系统吞吐量。
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引用次数: 0
A Cloud-Based Development Platform for Services and Bundles of Internet of Things 基于云的服务和物联网包开发平台
Yingyi Yang, Jin Yang, Fagui Liu, Qingyang Duan
Interoperability between heterogeneous objects of Internet of Things (IoT) and massive data generated in the course of processing bring enormous challenges to application development of Internet of Things. To accommodate changeful application requirements of Internet of Things, a cloud-based development platform for services and bundles is proposed. On the basis of the analysis of cloud-based development, web services and Open Service Gateway Initiative (OSGi) bundles, the design principles and architecture of our platform are specified. After key designs are introduced, our prototype implementation and its evaluation are presented. Our targeted prototype provides a collaborative platform and highly available storage in cloud, both of which are proved to be feasible.
物联网异构对象之间的互操作性以及处理过程中产生的海量数据给物联网的应用开发带来了巨大的挑战。为适应物联网多变的应用需求,提出了一种基于云的服务和包开发平台。在分析基于云的开发、web服务和OSGi (Open Service Gateway Initiative)包的基础上,明确了平台的设计原则和架构。在介绍了关键设计方案后,给出了我们的原型实现和评价。我们的目标原型提供了一个协作平台和高可用的云存储,两者都被证明是可行的。
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引用次数: 0
A Method of Field Recognizing Based on Association Strength 一种基于关联强度的场识别方法
Yang Liu, Lingyu Xu, Jie Yu, Yunlan Xue, Han Dong
The knowledge on the internet is uncertain, quickly updated and from multi-sources. The information we extract from a field in webpages is usually one-sided and contains incorrect data. This paper proposed an algorithm to extract data from internet web pages or text documents by using the association strength. The algorithm combines knowledge extraction method of the text mining with the technology of the intelligence analysis to the data. It uses ontology theory to describe the knowledge, and automatically extract the knowledge from the web pages or text documents which is returned by the search engine.
互联网上的知识不确定,更新迅速,来源多样。我们从网页中的字段中提取的信息通常是片面的,并且包含不正确的数据。本文提出了一种利用关联强度从互联网网页或文本文档中提取数据的算法。该算法将文本挖掘的知识提取方法与数据的智能分析技术相结合。它利用本体理论对知识进行描述,并自动从搜索引擎返回的网页或文本文档中提取知识。
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引用次数: 0
Graph-Based Friend Recommendation in Social Networks Using Artificial Bee Colony 基于图的人工蜂群社交网络好友推荐
Fatemeh Akbari, A. Tajfar, A. F. Nejad
Friend recommendation is a fundamental problem in online social networks, which aims to recommend new links for each user. In this paper, a new methodology based on graph topology and artificial bee colony is proposed to effective friend recommendation in social networks. In proposed approach, a sub-graph of network is composed by the study user and all the other connected users separately by three degree of separation from the root user. The proposed recommendation system computes four parameters within the generated sub-graph, and suggests the new links for the root user. Artificial bee colony is applied to optimize the relative importance of the weights of each parameter. To verify the proposed methodology, we chose a graph with 1000 members from YouTube. We considered the 20% of all links within the network graph to learning the system using artificial bee colony algorithm. These links were removed from the graph, and a data was generated by using all candidate nodes within the resulted graph, to be a recommend. Then, the generated data were divided into training set and evaluation set. Obtained results demonstrated the robustness of proposed approach with a 36% return rate.
朋友推荐是在线社交网络的一个基本问题,其目的是为每个用户推荐新的链接。本文提出了一种基于图拓扑和人工蜂群的社交网络好友推荐方法。该方法通过与根用户的三度分离,将学习用户和所有其他连接用户分别组成网络子图。提出的推荐系统在生成的子图中计算四个参数,并为根用户推荐新的链接。采用人工蜂群优化各参数权重的相对重要度。为了验证所提出的方法,我们从YouTube上选择了一个包含1000个成员的图表。我们考虑网络图中所有链路的20%使用人工蜂群算法来学习系统。从图中删除这些链接,并使用结果图中的所有候选节点生成数据,作为推荐。然后,将生成的数据分为训练集和评估集。获得的结果表明,该方法的鲁棒性与36%的回报率。
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引用次数: 19
Dynamic Spectrum Sensing for Energy Harvesting Wireless Sensor 能量采集无线传感器的动态频谱传感
Yuki Mizutani, Manabu Sato, Yuusuke Kawakita, H. Ichikawa
Energy harvesting wireless sensors are driven by electric power extracted from hidden environmental source of energy, such as imperceptible vibrations of walls and floors. It has been shown that radio transmitter system can be powered by energy harvesters with substituting ring for crystal oscillators, which, however, causes frequency instability in oscillator. In order to receive message from such sensors, a receiver must be able to accurately detect transmitted frequencies that may differ among respective sensors. Fast wideband radio frequency sensing schemes using filter-based energy detectors were proposed. These schemes were designed to detect radio devices operating according to known specifications, this paper proposes a dynamic spectrum sensing scheme using a fast fourier transform (FFT) based energy detector for radio devices without knowing radio frequencies. The experimental and theoretical results of this study demonstrate that dynamic spectrum sensing with an FFT-based energy detector can retrieve signal frequencies faster than traditional schemes. It is also shown that it is possible to calculate a suitable set of parameters for minimizing the total sensing time associated with any given pairing of frequency missing rate and resolution.
能量收集无线传感器是由从隐藏的环境能源中提取的电力驱动的,比如难以察觉的墙壁和地板的振动。研究表明,无线电发射机系统可以用环形能量采集器代替晶体振荡器供电,但这会导致振荡器的频率不稳定。为了接收来自这些传感器的信息,接收器必须能够准确地检测各个传感器之间可能不同的传输频率。提出了基于滤波器能量检测器的快速宽带射频传感方案。这些方案旨在检测根据已知规范运行的无线电设备,本文提出了一种动态频谱感知方案,该方案使用基于快速傅里叶变换(FFT)的能量检测器,用于不知道无线电频率的无线电设备。实验和理论结果表明,基于fft能量检测器的动态频谱传感可以比传统方案更快地检索到信号频率。还表明,可以计算出一组合适的参数来最小化与任何给定的频率缺失率和分辨率配对相关的总传感时间。
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引用次数: 4
Study and Application of Dynamic Collocation of Variable Weights Combination Forecasting Model 变权组合预测模型的动态配置研究与应用
Ning Cao, J. Huang, Xiaocheng Xie
Short-term load forecasting plays a very important role in operating, controlling, and planning of power system. As the load forecasting is vulnerable to various environmental factors, the short-term load forecasting is uncertain and variable. The traditional single forecasting model used to forecast the load of power grid can't comply with the requirements of the power grid management. Combination forecasting model can largely make up for the one-sidedness of the single forecasting methods. In the implementation of combination model, the fixed load forecasting methods also make forecasting results inaccurate, and have a series of problems such as low credibility. In this paper, the thought of dynamic combination is applied in the orderly power consumption management platform, and a combined optimal forecasting model is constructed through automatic screening of the forecasting methods and dynamic collocation of weights. Practice has proved that the combined forecasting method has higher forecasting accuracy than the single forecasting method and it is not only has high forecasting accuracy, but also has good extendibility, quick speed of data processing, simplicity of operation and diversity of display mode.
短期负荷预测在电力系统的运行、控制和规划中起着非常重要的作用。由于负荷预测容易受到各种环境因素的影响,短期负荷预测具有不确定性和多变性。传统单一的电网负荷预测模型已不能适应电网管理的要求。组合预测模型在很大程度上弥补了单一预测方法的片面性。在组合模型的实施中,固定负荷预测方法也使预测结果不准确,存在可信度低等一系列问题。本文将动态组合的思想应用于有序用电管理平台,通过对预测方法的自动筛选和权重的动态配置,构建了组合最优预测模型。实践证明,组合预报方法比单一预报方法具有更高的预报精度,不仅预报精度高,而且具有可扩展性好、数据处理速度快、操作简单、显示方式多样等优点。
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引用次数: 1
A Multicast Routing Algorithm for GEO/LEO Satellite IP Networks 一种GEO/LEO卫星IP网络的组播路由算法
Chao Yuan, Xiaoxiang Wang
Satellite network has played an important role in providing multicast services for its ability of wide coverage. The performance of satellite multicast can be improved if multi-layer Satellites are used in the architecture. In this paper, combining LEO satellites' advantages on transmitting real-time information with GEO's ability of big computing, a GEO/LEO Double-Layer Multicast Routing Algorithm (DLMRA) is introduced. Using the logical location concept to calculate the first added destination, take the permanent of link into account, our algorithm aims to minimize cost of multicast trees, under the condition of the available bandwidth bound and multicast tree delay bound. Simulation results demonstrate that the performance benefits of the proposed DLMRA in terms of the tree delay, the bandwidth cost by comparison with the other algorithms proposed before.
卫星网络以其广泛的覆盖能力在提供多播服务方面发挥了重要作用。采用多层卫星结构可以提高卫星组播的性能。本文结合LEO卫星实时信息传输的优势和GEO大计算能力,提出了一种GEO/LEO双层组播路由算法(DLMRA)。该算法利用逻辑位置的概念计算第一个添加的目的地,考虑到链路的永久性,在给定可用带宽和组播树时延的情况下,使组播树的开销最小。仿真结果表明,与已有算法相比,该算法在树延迟、带宽开销等方面具有较好的性能优势。
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引用次数: 7
Intelligent Early-Warning System for Landslides Based on the ZigBee Network 基于ZigBee网络的滑坡智能预警系统
Jian Xu, Yuanhong Wang, Yu Zhang, Shushan Yang
For mountain landslide, This paper proposes an intelligent early-warning system for landslides based on ZigBee network. It adopts Cortex-M3 architecture of the chip as the embedded core control processor to improve system integration, data processing capabilities, the ZigBee uses CC2530 as the hardware foundation to construct ZIGBEE wireless sensor network, and then uses GPRS as the technological manner to remotely convey data transmission and early warning information. The results show that the system is completely functional. And it has versatility and good scalability, can overcome the traditional monitoring method of single function which efficiency is low and cost is high, it can effectively achieve the landslide monitoring and prevention of the adverse geological conditions under the mountains.
针对山体滑坡,本文提出了一种基于ZigBee网络的山体滑坡智能预警系统。采用Cortex-M3架构的芯片作为嵌入式核心控制处理器,提高系统集成度、数据处理能力,ZigBee采用CC2530作为硬件基础构建ZigBee无线传感器网络,再采用GPRS作为技术方式实现数据传输和预警信息的远程传递。结果表明,该系统功能完备。该系统具有通用性和良好的可扩展性,克服了传统监测方法功能单一、效率低、成本高的缺点,可以有效地实现对山下不利地质条件下滑坡的监测和防治。
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引用次数: 1
期刊
2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing
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