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2009 IEEE International Conference on Network Infrastructure and Digital Content最新文献

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A new forward-secure threshold proxy re-signature scheme 一种新的前向安全阈值代理重签名方案
Pub Date : 2009-12-31 DOI: 10.1109/ICNIDC.2009.5360842
Xiaodong Yang, Caifen Wang, Yulei Zhang, Weiyi Wei
A forward-secure threshold proxy re-signature scheme in the standard model is firstly proposed in this paper. The scheme has the property that it is infeasible to forge valid proxy re-signatures relating to the past even if more than or equal to the threshold proxies are corrupted. Re-signature keys are updated at regular periods of time. It implies that past proxy re-signatures remain secure if the current re-signature key is leaked. The scheme is provably robust, forward-secure and unforgettable without relying on the random oracle model. The scheme has many attractive applications, such as the construction of the interoperable system of digital rights management (DRM).
首先提出了一种标准模型下的前向安全门限代理重签名方案。该方案的特性是,即使超过或等于阈值的代理被损坏,也无法伪造与过去相关的有效代理重新签名。重新签名密钥定期更新。这意味着如果当前的重新签名密钥泄露,过去的代理重新签名仍然是安全的。该方案不依赖于随机oracle模型,具有鲁棒性、前向安全性和可遗忘性。该方案在构建可互操作的数字版权管理(DRM)系统等方面具有广泛的应用前景。
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引用次数: 3
A SINR improving scheme based on optimal polarization receiving for the cognitive radios 一种基于最优极化接收的认知无线电信噪比提高方案
Pub Date : 2009-12-31 DOI: 10.1109/ICNIDC.2009.5360890
Dong Wei, Caili Guo, Fangfang Liu, Zhimin Zeng
A scheme based on optimal polarization receiving (OPR) is proposed for the cognitive radios to improve the signal to interference and noise ratio (SINR) of the cognitive user. This OPR-Based scheme will not produce extra interference to the licensed user. The simulation results show that without increasing the transmitting power of the cognitive user, the cognitive receiver with OPR-Based scheme can improve the SINR by over 30dB at most compared with the traditional cognitive receiver.
为了提高认知用户的信噪比,提出了一种基于最优极化接收(OPR)的认知无线电方案。这种基于opr的方案不会对许可用户产生额外的干扰。仿真结果表明,在不增加认知用户发射功率的情况下,基于opr的认知接收机与传统认知接收机相比,信噪比最多可提高30dB以上。
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引用次数: 7
On the performance analysis of traffic splitting on load imbalancing and packet reordering of bursty traffic 突发流量中负载不均衡和数据包重排序的流量分割性能分析
Pub Date : 2009-12-31 DOI: 10.1109/ICNIDC.2009.5360896
S. Prabhavat, Hiroki Nishiyama, N. Ansari, N. Kato
Owing to the heterogeneity and high degree of connectivity of various networks, there likely exist multiple available paths between a source and a destination. To be able to simultaneously and efficiently use such parallel paths, it is essential to facilitate high quality network services at high speeds. So, traffic splitting, having a significant impact on quality of services (QoS), is an important means to achieve load balancing. In general, most existing models can be classified into flow-based or packet-based models. Unfortunately, both classes exhibit some drawbacks, such as low efficiency under the high variance of flow size in flow-based models and the phenomenon of packet reordering in packet-based models. In contrast, Table-based Hashing with Reassignment (THR) and Flowlet Aware Routing Engine (FLARE), both belonging to the class of flow-based models, attempt to achieve both efficient bandwidth utilization and packet order preservation. An original flow can be split into several paths. As compared to the traditional flow-based models, load balancing deviation from ideal distribution decreases while the risk of packet reordering increases. In this paper, we introduce analytical models of THR and FLARE, and derive the probabilities of traffic splitting and packet reordering for each model. Our analysis shows that FLARE is superior to THR in packet order preservation. Also, the performance of FLARE on bursty traffic is demonstrated and discussed.
由于各种网络的异构性和高度连通性,在源和目的之间可能存在多条可用路径。为了能够同时有效地利用这些并行路径,必须提供高质量的高速网络服务。因此,对服务质量(QoS)有重大影响的流量分割是实现负载均衡的重要手段。一般来说,大多数现有的模型可以分为基于流的模型和基于包的模型。遗憾的是,这两种方法都存在一些缺点,例如基于流的模型在流量大小变化较大的情况下效率较低,以及基于包的模型中存在数据包重排序现象。相比之下,基于表的重分配哈希(THR)和流量感知路由引擎(FLARE),都属于基于流的模型,试图实现有效的带宽利用和包顺序保存。一个原始流可以被分割成几个路径。与传统的基于流的模型相比,该模型减少了负载均衡与理想分布的偏差,但增加了数据包重排序的风险。本文介绍了THR和FLARE的分析模型,并推导了每个模型的流量分裂和数据包重排序的概率。分析表明,FLARE在包序保存方面优于THR。同时,对FLARE在突发业务中的性能进行了演示和讨论。
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引用次数: 10
Research on remote disaster Recovery System of Digital Library 数字图书馆远程容灾系统研究
Pub Date : 2009-12-31 DOI: 10.1109/ICNIDC.2009.5360928
Yuncai Wang
There are many latent dangers in Digital Library (DL) Information System. To protect the information resources and the continuity of information service effectively, it is necessary to construct Digital Library Remote Disaster Recovery System (RDRS). Firstly, this paper discusses the role of disaster recovery in digital library information security system, the classification & technique parameters of disaster recovery system, and its domestic application status quo. Secondly, this paper focuses on the design principles of RDRS, network structure, and the realization of RDRS functions as well. Meanwhile, it sketches the network structure and platform of RDRS. Finally, this article expounds the management and maintenance for the RDRS.
数字图书馆信息系统存在着诸多隐患。为了有效地保护信息资源和信息服务的连续性,有必要构建数字图书馆远程容灾系统。本文首先论述了容灾在数字图书馆信息安全系统中的作用、容灾系统的分类和技术参数,以及容灾在国内的应用现状。其次,本文重点介绍了RDRS的设计原则、网络结构以及RDRS功能的实现。同时,勾画了RDRS的网络结构和平台。最后,对RDRS的管理与维护进行了阐述。
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引用次数: 3
An analysis of the combined wavelet-GM (1,1) model for network traffic forecasting 基于小波- gm(1,1)组合模型的网络流量预测分析
Pub Date : 2009-12-31 DOI: 10.1109/ICNIDC.2009.5360794
Yan Bai, Ke Ma, Guangsi Ma
Based on Grey theory, a combined wavelet-GM (1,1) forecasting model is proposed. The random properties of some non-stationary time series can be reduced by wavelet decomposition into many series according to different scales. Decomposed time series are predicted with GM (1,1) model to obtain forecasted results of the original time series. Experiments on network traffic show that the combined model is more effective than the common grey model. The application of the proposed combined model to network traffic forecasting may offer scientific rationale to Internet routing decision, LAN virus detection and illegal invasion prevention.
基于灰色理论,提出了一种组合小波- gm(1,1)预测模型。一些非平稳时间序列的随机特性可以通过小波分解分解成不同尺度的序列。利用GM(1,1)模型对分解后的时间序列进行预测,得到原始时间序列的预测结果。对网络流量的实验表明,该组合模型比常用的灰色模型更有效。将该组合模型应用于网络流量预测,可为Internet路由决策、局域网病毒检测和非法入侵防御提供科学依据。
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引用次数: 2
Applying data miming and NLP techniques to automatically acquire user preferences in Chinese web sites 应用数据挖掘和自然语言处理技术自动获取中文网站用户偏好
Pub Date : 2009-12-31 DOI: 10.1109/ICNIDC.2009.5360864
Shilin Zhang, Shuwu Zhang, Heping Li
Web mining has become an important field of research. However, there is an important challenge to applying the technique to NLP applications. An integrated data mining system for NLP in Chinese Commercial Web Sites is presented in this paper. It presented the data mining process in detail. More importantly, it puts forward a new enhanced method to Acquire User Preferences. Web mining applied to NLP provides a scientific basis for ebusiness and decision-making.
Web挖掘已经成为一个重要的研究领域。然而,将该技术应用于NLP应用有一个重要的挑战。提出了一种面向中文商业网站自然语言处理的集成数据挖掘系统。详细介绍了数据挖掘过程。更重要的是,提出了一种新的获取用户偏好的增强方法。Web挖掘在自然语言处理中的应用为电子商务和决策提供了科学依据。
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引用次数: 0
Discrimination of sensing data in normal and abnormal situations of the monitored object or environment 在被监测对象或环境的正常和异常情况下对传感数据进行区分
Pub Date : 2009-12-31 DOI: 10.1109/ICNIDC.2009.5360880
Yinghua Zhou, Xuemei Cai
The huge volume of history sensing data of a wireless sensor network need to be processed and discriminated to help the users of the data to analyze and judge the different situations of the monitored object and environment. A novel approach is proposed to first divide the history sensing data into partitions so that the data, measured when the monitored object or environment is normal, are roughly distinguishable from those measured when the object or environment is abnormal. Then the method uses a new centroid-based clustering algorithm to group the data in the partitions into different clusters. Finally the clusters of data are labeled “normal” or “abnormal” by applying the suggested heuristics.
无线传感器网络中海量的历史传感数据需要进行处理和判别,以帮助数据使用者分析和判断被监测对象和环境的不同情况。提出了一种新的方法,首先对历史传感数据进行分区,使被监测对象或环境正常时测量的数据与被监测对象或环境异常时测量的数据大致区分开来。然后采用一种新的基于质心的聚类算法,将分区内的数据分组到不同的聚类中。最后,通过应用建议的启发式方法,将数据簇标记为“正常”或“异常”。
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引用次数: 0
A new joint Rate-distortion Optimization model based on texture and mean-error factors 基于纹理和平均误差因子的联合速率畸变优化模型
Pub Date : 2009-12-31 DOI: 10.1109/ICNIDC.2009.5360791
Q. Meng, Bojin Zhuang, Fei Su
In this paper, a new joint Rate-distortion Optimization model based on texture and mean-error factors (TMJRDM) is proposed. Texture factor implies the subjective factor, giving the texture similarity measure between the original image and the target image. At the same time, mean-error factor gives the objective measure. The joint weighted value of texture and mean-error factors is calculated as the distortion metric, which balances the subjective and objective quality. Experimental results show that our proposed algorithm improves the subjective quality of the reconstructed images without obvious degradation of the objective quality.
提出了一种基于纹理和平均误差因子的联合率失真优化模型(TMJRDM)。纹理因子隐含主观因素,给出了原始图像与目标图像之间的纹理相似性度量。同时,平均误差因子给出了客观的度量。计算纹理因子和平均误差因子的联合加权值作为失真度量,平衡了主观质量和客观质量。实验结果表明,该算法在不明显降低客观质量的前提下,提高了重建图像的主观质量。
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引用次数: 0
A buffering architecture based-on traffic load selection scheduling for optical packet switching networks 一种基于流量负载选择调度的光分组交换网络缓冲体系结构
Pub Date : 2009-12-31 DOI: 10.1109/ICNIDC.2009.5360784
Huanlin Liu, Junyu Pang,
An optical buffering architecture based-on traffic load selection was put forward for optical packet switching networks in the paper. For improving the limited fiber delay lines utilization, the segment shared buffering mechanism be used to configure the output fiber delay lines and the output/feedback shared buffer module configuration using degenerate model. When the traffic load is larger than threshold value, the output/feedback buffer module is worked on the feedback buffer mode. Otherwise, the output/feedback module is worked on the output buffer mode. So, the buffer mode can be selected flexible according to the traffic load. The analysis and simulation results show that this buffer architecture can decrease packet loss probability effectively and achieve reasonable average packet delay.
针对光分组交换网络,提出了一种基于业务量负载选择的光缓冲架构。为了提高有限光纤延迟线的利用率,采用段共享缓冲机制配置输出光纤延迟线,并采用退化模型配置输出/反馈共享缓冲模块。当流量负载大于阈值时,输出/反馈缓冲模块工作在反馈缓冲模式。否则,输出/反馈模块工作在输出缓冲模式。因此,可以根据流量负载灵活选择缓冲方式。分析和仿真结果表明,该缓冲结构能有效降低丢包概率,实现合理的平均包延迟。
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引用次数: 2
IGMP extentions for mobile multimedia services 移动多媒体业务的IGMP扩展
Pub Date : 2009-12-31 DOI: 10.1109/ICNIDC.2009.5360913
Eunjo Lee, Beomgu Kang, Sungkwon Park, Hosook Lee
Mobile access networks are being developed to support various multimedia services such as IPTV (Internet Protocol Television), VoD (Video on Demand), and high speed internet services. Especially, these networks are a point-to-multipoint method in which one MAG (Mobile Access Gateway) and many MNs (Mobile Node) are connected. In other words, if a mobile multimedia viewer is joining a specific multicast group over mobile access networks, the others receive the multimedia program at the same time although they do not belong to the same multicast group. However, the traditional IGMP versions do not allow immediate multimedia program sharing as explained about. Also, in traditional IGMP versions, a viewer always needs to send IGMP join report. This paper proposes IGMP extensions which improves group join and leave process in mobile access networks for multimedia services.
移动接入网正在发展,以支持各种多媒体业务,如IPTV(互联网协议电视)、VoD(视频点播)和高速互联网服务。特别是,这些网络是一种点到多点的方式,其中一个MAG(移动接入网关)和多个MNs(移动节点)相连。换句话说,如果移动多媒体观看器通过移动接入网加入特定的组播组,则其他观看器虽然不属于同一组播组,但同时接收多媒体节目。然而,传统的IGMP版本不允许即时的多媒体程序共享。此外,在传统的IGMP版本中,查看器总是需要发送IGMP连接报告。本文提出了IGMP扩展,改进了多媒体业务移动接入网中的群加入和群离开过程。
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引用次数: 3
期刊
2009 IEEE International Conference on Network Infrastructure and Digital Content
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