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检索条件"主题词=distributed detection"

共 624 条记录，以下是381-390 订阅

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A P2P-based distributed detection Scheme Against DDoS Attack

A P2P-based Distributed Detection Scheme Against DDoS Attack

引用

1st International Workshop on Education Technology and Computer Science

作者： Zhou, Zaihong Xie, Dongqing Xiong, Wei Hunan Univ Sch Comp & Commun Changsha 410082 Hunan Peoples R China Guangzhou Univ Sch Comp Sci & Educ Software Guangzhou Guangdong Peoples R China

ISBN: (纸本)9780769535579

The distributed hosts in the Internet are organized into a P2P network by Chord protocol for detection. The detection node uses the CUSUM's sensitivity to the slight change to detect the change in the amount of packets to destination address. Upon the abnormality detected, it is broadcast based on the node trust. The response nodes use space similarity algorithm to calculate the similarity between request node and response node. The victim end makes a comprehensive decision whether the DDoS attack happens. The scheme detects DDoS at the source end;it can prevent the DDoS attack by means of forged IP address and random IP address and trace the origin of the attack hosts. The experimental results indicate that our scheme has better performance than CUSUM and time similarity algorithm single deployed. It can reach as high as 96.1% detection rate and with only 6.9% false positives rate.

关键词： DDoS Attacks distributed detection CUSUM Algorithm Similarity P2P

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MULTILEVEL QUANTIZER DESIGN FOR DECENTRALIZED detection IN WIRELESS SENSOR NETWORKS

MULTILEVEL QUANTIZER DESIGN FOR DECENTRALIZED DETECTION IN W...

引用

IEEE China Summit and International Conference on Signal and Information Processing

作者： Fei Gao Lili Guo Hongbin Li Jun Liu Jun Fang Coll. of Inf. & Commun. Eng. Harbin Eng. Univ. Harbin China

ISBN: (纸本)9781479919499

We consider the problem of distributed detection involving multiple sensor nodes to jointly detect the presence of an unknown signal. To circumvent power/bandwidth constraints, a multilevel quantizer is employed in each sensor to quantize the original observation. The quantized data are transmitted through distortion channels to a fusion center where a generalized likelihood ratio test (GLRT) detector is employed to perform a global decision. We propose a quantizer design approach by maximizing the Fisher information with respect to the quantization thresholds. Numerical results demonstrate that with 2- or 3-bit quantization, the GLRT detector can provide detection performance very close to that of the unquantized GLRT detector which uses the original observations without quantization.

关键词： Wireless sensor networks Multilevel quantization distributed detection

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Error Analysis for Optimal distributed detection in Multi-Hop Sensor Networks

Error Analysis for Optimal Distributed Detection in Multi-Ho...

引用

5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2009)

作者： Sun, Xusheng Coyle, Edward J. Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)9781424435173

We consider a sensor network in which the sensor motes first make local decisions based on their observations of a noisy environment. They then transmit these local decisions over multiple noisy wireless hops to a cluster head (CH). The CH collects them and fuses them into a globally optimal decision. In this paper, multiple techniques are used to characterize the decision error probability when the CH uses a likelihood ratio test. The results obtained include easily evaluated expressions that provide upper and lower bounds on the exact performance of the optimal distributed detector. These results will enable rapid analysis of system-level tradeoffs involving the number of sensors, the level of error, and energy usage.

关键词： distributed detection likelihood ratio test large deviation techniques

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distributed TARGET detection IN THROUGH-THE-WALL RADAR IMAGING USING THE BOOTSTRAP

DISTRIBUTED TARGET DETECTION IN THROUGH-THE-WALL RADAR IMAGI...

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Christian Debes Christian Weiss Abdelhak M. Zoubir Moeness G. Amin Signal Processing Group Technische Universitat Darmstadt Darmstadt Germany Center for Advanced Communications Villanova University Villanova PA USA

ISBN: (纸本)9781424442959

The problem of distributed detection and decision fusion in Through-the-Wall Radar Imaging (TWRI) is considered. We deal with the multi-viewing case in which images corresponding to different radar locations can be collected. We present a method to adapt conventional distributed detection schemes to the scenario when no a priori knowledge about image statistics from any view is available. Further, a new scheme for estimating quality information of local detectors in a distributed detection scenario is proposed. We apply bootstrap techniques to draw inference from the radar measurements of the behind the wall scene. Simulation results as well as experimental data are used to demonstrate the performance of the proposed approach.

关键词： distributed detection decision fusion bootstrap Through-the-wall radar imaging

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Sensor selection for distributed detection via multiaccess channels

Sensor selection for distributed detection via multiaccess c...

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10th Australian Communications Theory Workshop

作者： Li, Feng McDonnell, Mark D. Amblard, Pierre-Oliver Grant, Alex J. Univ Melbourne Dept Elect & Elect Engn ARC Special Res Ctr Ultra Broadband Informat Netw Melbourne Vic 3010 Australia Univ South Australia Inst Telecommun Res Mawson Lakes SA 5095 Australia ENSIEG CNRS 5216 Dept Images & Signals GIPSA lab F-38402 St Martin Dheres France

ISBN: (纸本)9781424433568

We consider a network of sensors whose decisions are used to discriminate between two alternative hypotheses, after communication over a multiaccess channel. Each sensor makes independent local binary decisions. Using a distance measure, we consider optimizing the entire network under the assumption that sensors are grouped into classes with identical characteristics. We prove that it can be optimal to remove some sensors from the network, and when this is the case, every sensor within that class should be removed. We also prove that any class that consists of a sufficiently large number of sensors should not be removed.

关键词： distributed detection Multiaccess channel Mahalanobis distance Stochastic Pooling Network

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Conditional Dependence in distributed detection: How Far Can We Go?

Conditional Dependence in Distributed Detection: How Far Can...

引用

IEEE International Symposium on Information Theory (ISIT 2009)

作者： Chen, Hao Varshney, Pramod K. Chen, Biao Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA

ISBN: (纸本)9781424443123

distributed detection with conditionally independent observations at local sensors is well understood. The problem becomes significantly more complicated when dependence is present among sensor observations. In this paper, we attempt to make progress in our understanding of the dependent observation case. Toward this end, we present a new hierarchical model by introducing a hidden or latent variable;this model attempts to present a unified framework for distributed detection with conditionally dependent or independent observations. By a close examination of this model, we identify a class of distributed detection problems with conditionally dependent observations whose optimal sensor signaling structure resembles that of the independent case. This class of problems exhibits a decoupling effect on the form of the optimal local decision rules, much in the same way as the conditionally independent case. Important cases of this class of problems include both the previously known Gaussian case under certain parameter regimes as well as several problems first introduced in this paper. An example is given to illustrate the proposed design approach.

关键词： distributed detection Dependent Observation Hierarchical Independence Model Quantization

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SENSOR-TO-SENSOR ASSISTANCE FOR distributed SIGNAL detection

SENSOR-TO-SENSOR ASSISTANCE FOR DISTRIBUTED SIGNAL DETECTION

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Sadiq Ali Jose A. Lopez-Salcedo Gonzalo Seco-Granados Signal Processing for Communications and Navigation (SPCOMNAV) Engineering School Universitat Autonoma de Barcelona (UAB) Campus Universitari s/n 08193 Bellaterra Barcelona Spain

ISBN: (纸本)9781424442959

This paper analyzes the problem of distributed composite signal detection in a sensor-to-sensor (S2S) scenario. Based on the classical Generalized Likelihood Ratio Test (GLRT) and Bayesian approaches, some insights are provided for extending classical detection theory to cooperative environments. As a result, innovative decision rules are proposed by taking advantage of prior information from neighboring sensors (for instance, using maximum likelihood estimates of the unknown parameters). Simulation results are provided confirming the outperforming behavior of the proposed collaborative techniques.

关键词： distributed detection Bayesian detection composite hypothesis testing GLRT signal acquisition Hypothesis testing decision rule composite signal WWOX gene maximum likelihood estimation Bayesian inference likelihood ratio test Unknown parameter

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Serial distributed detection performance analysis in wireless sensor networks under noisy channel

Serial distributed detection performance analysis in wireles...

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5th International Conference on Wireless Communications, Networking and Mobile Computing

作者： Yin, Liping Wang, Ying Yue, Dian-wu Dalian Maritime Univ Coll Informat Sci & Technol Dalian 116026 Peoples R China

ISBN: (纸本)9781424436927

In this paper, we consider the performance of serial distributed detection in wireless sensor networks (WSNs) under the assumption that the local decisions made by sensors are transmitted over noisy channels. Different from the parallel fusion, where the local results are directly sent to the fusion center, in serial fusion, local results are transmitted to the fusion center through multi-hop, short-range communications. We derive a fusion decision rule for serial signal detection, which takes the channel noise into account. And the simulation results show that the performance of serial distributed detection is inferior to that of parallel distributed detection, especially when the number of sensors is large. However, serial distributed detection utilizes short-range, multi-hop transmission, so it can be used as an energy-efficient distributed detection scheme for wireless sensor networks.

关键词： distributed detection serial WSN noisy channel energy conservation

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CHANNEL AWARE SENSOR SELECTION IN distributed detection SYSTEMS

CHANNEL AWARE SENSOR SELECTION IN DISTRIBUTED DETECTION SYST...

引用

10th IEEE Workshop on Signal Processing Advances in Wireless Communications

作者： Ahmadi, Hamid R. Vosoughi, Azadeh Univ Rochester ECE Dept Rochester NY 14627 USA

ISBN: (纸本)9781424436958

We propose a novel censoring scheme for the distributed detection problem in a wireless sensor network (WSNs) with N sensors, where the channels between the sensors and the fusion center (FC) is subject to fading and noise. To achieve the best tradeoff between energy efficiency and detection reliability, the FC forms the maximum ratio combing (MRC) fusion rule by integrating the partial knowledge of fading channel state information (CSI) and the local sensor performance indices, finds the best set of K (K < N) sensors that maximizes the total detection probability in the Neyman-Pearson (NP) sense, and informs the selected sensors via one bit feedback. The FC learns the Rayleigh flat fading channels, utilizing training symbols sent by the sensors, via applying minimum mean square error (MMSE) channel estimator. Assuming the sensors employ BPSK to modulate their binary local decisions, we derive the MRC fusion rule that depends on the channel estimates and the sensors' performance indices, and incorporates the effect of channel estimation error. Simulation results are provided to support the analytical derivations.

关键词： Censoring channel estimation error distributed detection partial channel state information

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Applied artificial immune on P2P network virus detection technology for information security

Applied artificial immune on P2P network virus detection tec...

引用

9th International Forum on Strategic Technology (IFOST)

作者： Qiao Peili Sun Wanting Harbin Univ Sci & Technol Sch Comp Sci & Technol Harbin Heilongjiang Peoples R China

ISBN: (纸本)9781479960620

Existing virus detection methods to detect malicious using signature cannot adapt to the virus technology development, it cannot detect virus effectively, especially for new virus. Inspired by natural immune, an improved distributed network detection model of P2P network using immune and virus code relevance is proposed. The feature detection function and various parts such as feature extraction and information fusion are described in this paper. The relevance between virus codes is used to extract the feature of computer virus. We match the feature of malicious code automatically by Rabin fingerprinting algorithm and adopt a strategy of distributed information fusion on subsequent fingerprint based on computer immune. Finally, we propose an improved malicious code detection algorithm in distributed system. This malicious code detection method is suitable for large-scale network.

关键词： Virus detection Artificial Immune Code Relevance distributed detection information security

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