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检索条件"主题词=detection algorithms"

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Quickest change detection in multiple on-off processes

Quickest change detection in multiple on-off processes

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Qing Zhao Jia Ye University of California Davis CA USA

A Bayesian formulation of quickest change detection in multiple on-off processes is obtained within a decision-theoretic framework. For geometrically distributed busy and idle times, we show that the optimal joint design of channel switching and change detection has a simple threshold structure under a mild condition. Extensions to arbitrarily distributed busy and idle times, in particular, heavy tail distributions, are discussed. We show that this problem presents a fresh twist to the classic problem of quickest change detection that considers only one stochastic process. We demonstrate that the key to quickest change detection in multiple processes is to abandon the current process when its state is unlikely to change in the near future (as indicated by the measurements obtained so far) and seek opportunities in a new process to avoid realizations of long busy periods. This problem arises in spectrum opportunity detection in cognitive radio networks where a secondary user searches for idle channels in the spectrum.

关键词： Probability distribution Stochastic processes Bayesian methods Cognitive radio Current measurement Switches detection algorithms Exponential distribution Change detection algorithms Telecommunication network reliability

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BANBAD - A Centralized Belief-Networks-Based Anomaly detection Algorithm for MANETs

BANBAD - A Centralized Belief-Networks-Based Anomaly Detecti...

引用

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

作者： Chaoli Cai Aakash Gupta Rajib Paul Department of Computer Science Western Michigan University USA College of Literature Science & the Arts University of Michigan USA Department of Statistics Western Michigan University USA

We present an efficient anomaly detection algorithm, named BANBAD. Using belief networks (BNs), the algorithm identifies abnormal behavior, like inappropriate energy consumption, in mobile ad-hoc networks (MANETs). By applying structure learning techniques to training dataset, BANBAD extracts the dependencies among relevant features, such as average velocity, displacement, local computation and communication time, energy consumption, and response time, of a node of the network. A directed acyclic graph (DAG) is used to represent the features and their dependencies. Probability distributions and correlations among the features are associated with the nodes and edges of the DAG. Using a training process, BANBAD maintains dynamic, updated profiles of network node behaviors and uses specific Bayesian inference algorithm to distinguish abnormal behavior during testing. BANBAD works well in MANETs. Simulation results demonstrate that a centralized BANBAD achieves low false alarm rates, below 2%, and high detection rates, greater than 95%. The key to achieving such high performance is that the false alarm rate can be bounded by certain predefined threshold value based on our technique, and by fine tuning the threshold, we can achieve the high detection rate as well.

关键词： detection algorithms Energy consumption Ad hoc networks Computer networks Mobile communication Delay Probability distribution Bayesian methods Inference algorithms Testing

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Research of Blind Watermark detection Algorithm Based on Wavelet and Contourlet Transform Domain

Research of Blind Watermark Detection Algorithm Based on Wav...

引用

International Conference on E-Business and Information System Security, EBISS

作者： Xiang-Wei Zhu Liang Xiao Suzhou Campus Nanjing Institute of Railway Technology Suzhou China Institute of Computer Science Nanjing University of Science and Technology of PLA Nanjing China

Blind watermark detection is a modern digital watermark technology with outstanding feature. To start with, this paper carries on the statistical analysis to the high frequency sub-band coefficients of wavelet and contourlet transform. The high frequency sub-band coefficients can be characterized by generalized Gaussian distribution. So a blind watermark detection algorithm can be designed according to the method of maximum likelihood estimator. Experimental results demonstrate that the performance of watermark detector is good based on the wavelet and contourlet transform domain. The scheme is robust against most attack, so it is very effective and practical.

关键词： Watermarking detection algorithms Wavelet domain Wavelet transforms Frequency Statistical analysis Wavelet analysis Gaussian distribution Algorithm design and analysis Maximum likelihood detection

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A Realtime Clique detection Algorithm: Time-Based Incremental Label Propagation

A Realtime Clique Detection Algorithm: Time-Based Incrementa...

引用

International Symposium on Intelligent Information Technology Application, IITA

作者： Sheng Pang Changjia Chen Ting Wei School of electric and info engineering Beijing Jiaotong University Beijing China

Most networks will evolve with time instead of keeping unchanged in reality. Therefore, we proposed the time-based incremental label propagation (TILP) algorithm to detect community structures in complex networks in realtime. TILP algorithm will only take the local changed vertexes into consideration. The computation time is greatly decreased, while vertex (edge) is changed. The algorithm will definitely converge for the original version of label propagation algorithm is converged. We also applied TILP to real-time community detection in a relationship network of online game.

关键词： detection algorithms Clustering algorithms Complex networks Iterative algorithms Algorithm design and analysis Intelligent networks Information technology Social network services Network topology Computational efficiency

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An energy-based detection algorithm of epileptic seizures in EEG records

An energy-based detection algorithm of epileptic seizures in...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Agustina Garces Correa Eric Laciar Lorena Orosco Maria E. Gomez Raul Otoya Raimon Jane Gabinete de Tecnología Medica Facultad de Ingeniería Universidad Nacional de San Juan San Juan Argentina Servicio de Neurología Hospital H. Notti Mendoza Argentina Institut de Bioenginyeria de Catalunya (IBEC) and CIBER de Bioingenieri Biomateríales y Nanomedicina Department ESAII Universitat Poliltècnica de Catalunya Barcelona Spain

A simple algorithm to automatically detect segments with epileptic seizures in long EEG records has been developed. The main advantages of the proposed method are: the simple algorithm used and the lower computational cost. The algorithm measures the energy of each EEG channel by a sliding window and calculates some features of each patient signal to detect the epileptic seizure. It is also able to distinguish between seizures and noise artifacts. Nine invasive EEG records acquired by Epilepsy Center of the University Hospital of Freiburg were analyzed in this work. In 90 segments studied (39 with epileptic seizures) the sensitivity obtained with the method is 87.18%. The algorithm is appropriate to detect epileptic seizures, with high sensitivity, in long EEG records to decrease the time used by physicians and specialists in visual inspections.

关键词： detection algorithms Epilepsy Electroencephalography Inspection Brain Computational efficiency Algorithm design and analysis Energy measurement Signal detection Hospitals

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Hierarchical node replication attacks detection in wireless sensors networks

Hierarchical node replication attacks detection in wireless ...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Wassim Znaidi Marine Minier Stephane Ubeda CITI Laboratory University of Lyon I France

Wireless sensor networks (WSNs) are composed of a large number of low-cost, low-power, and multi-functional sensor nodes that communicate at short distance through wireless links. They are usually deployed in an open and uncontrolled environment where attackers may be present. Due to the use of low-cost materials, hardware components are not tamper-resistant and an adversary could access a sensor's internal state. An adversary can easily capture even a single node and inserts duplicated nodes at any location in the network. If no specific detection mechanisms are established, the attacker could lead many insidious attacks such as subverting data aggregation protocols by injecting false data, revoking legitimate nodes and disconnecting the network if the replicated nodes are judiciously placed at chosen locations. In this paper, we propose a hierarchical distributed algorithm for detecting node replication attacks using a Bloom filter mechanism and a cluster head selection, we also introduce the adequate network replies in case of detection. We also present simulation results for random topologies and show that our algorithm is able to detect replication attacks in all cases.

关键词： Wireless sensor networks Filters Clustering algorithms Protocols Hardware Distributed algorithms Nominations and elections detection algorithms Base stations Costs

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Automatic tree-ring mark detection for teak and pine trees

Automatic tree-ring mark detection for teak and pine trees

引用

International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Thitiporn Chanwimaluang Rungkarn Siricharoenchai Treepop Sunpetniyom Wasin Sinthupinyo National Electronics and Computer Technology Center Pathum Thani Thailand

In this paper, we address the problem of tree-ring mark detection for teak and pine trees. Tree ring marks, especially from teak images, are barely visible since they are well-blended with the background. Moreover, wood patterns are spread across the timber samples. In addition, noise appears all over the samples. Therefore, the tree ring marks are hardly detectable. To cope with the indistinct tree-ring marks, we present a new automatic tree-ring mark detection algorithm. First, anisotropic diffusion technique is employed to enhance boundaries, and at the same time, try to eliminate noise and wood patterns. Then, strong edges are detected by using Canny method. Next, convolutional kernels are applied to extract horizontally-inclined lines. Subsequently, connected component labeling is used to get rid of the remaining noise. After that, mathematical manipulation is exploited to get the tree ring marks. Simulation results demonstrate that the proposed method can provide robust aPnd feasible tree-ring mark locations.

关键词： Temperature Brightness detection algorithms Anisotropic magnetoresistance Image edge detection Kernel Labeling Noise robustness Meteorology Skeleton

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detection Algorithm of Dim and Small Infrared Target Based on Temporal chi² Test

Detection Algorithm of Dim and Small Infrared Target Based o...

引用

Congress on Image and Signal Processing, CISP

作者： Lihui Sun Sumei Jin Ruisheng Zhang

The detection for motive small target in infrared image sequence has become a hot topic nowadays. A novel detect algorithm of dim and small infrared target 9 based on temporal chi 2 test, which aims at disadvantages of algorithm complexity, large amounts of data to process, high capacity memory demand in concerned algorithm, is proposed. Theory basis of 9 temporal chi 2 test is described in detail and recursive formula of concerned statistics is given and detection performance of the algorithm is analyzed. The algorithm is very easy to realize because the whole algorithm need buffer one frame image only. The results of theoretical analysis and experiments show that the algorithm can detect targets which SNR is no less than 2 and move speeding image is no less than 0.5 pixel per frame.

关键词： detection algorithms Infrared detectors Testing Algorithm design and analysis Infrared imaging Image sequences Statistical analysis Performance analysis Image analysis Pixel

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Random Access for Decentralized detection in Wireless Sensor Networks

Random Access for Decentralized Detection in Wireless Sensor...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Dianhui Xu Yingwei Yao Robert Y. Li Department of Electrical and Computer Engineering University of Illinois Chicago Chicago USA Department of Electrical and Computer Engineering North Carolina Agricultural and Technical State University Greensboro USA

ISBN: (纸本)9781424425143

In this work, we propose a random access protocol for decentralized detection in wireless sensor networks. In this scheme, sensors are grouped according to the informativeness of their data. Then fusion center collects sensor data sequentially in the order of their informativeness and terminates the fusion process once the target performance is reached. To determine the optimal transmission probability in random access, we propose a novel Bayesian update algorithm utilizing both the sensing information and the channel feedback. As shown by our simulations, incorporating sensing information greatly improves the communication efficiency over a generic Bayesian update scheme relying only on channel feedback. Comparison with fixed sample size test and sequential probability ratio test shows that the proposed scheme achieves significant channel and power efficiency gain over existing strategies.

关键词： Wireless sensor networks Access protocols Feedback Sensor fusion Sequential analysis Bayesian methods Multiaccess communication Sensor phenomena and characterization Algorithm design and analysis detection algorithms

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A Novel Attack detection Algorithm Based on t-Distribution in Wireless Sensor Networks

A Novel Attack Detection Algorithm Based on t-Distribution i...

引用

International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Yong-jian Luo Xiao-yong Ding Gang Wu Guang-dong Ding Xi'an Commun. Inst. Xi'an China

In order to prevent the malicious attack from reducing the accuracy of aggregation result in wireless sensor networks, it is necessary to perform the attack detection in the received readings of all the sensor nodes before the resilient aggregation processing. However, the detection probability of the attack detection algorithm presented in the literature is small, and its computation complexity is high. Based on the model of resilient data aggregation in wireless sensor networks, a new attack detection algorithm by means of t-distribution was proposed in this paper. The novel algorithm is more energy-saving because its computation process is simple and it is based on the clustering model. It may effectively detect the attacking behaviors in the network and has a better detection performance compared with the existing algorithms. Simulation results show the effectiveness of the new algorithm.

关键词： detection algorithms Wireless sensor networks Clustering algorithms Base stations Data communication Data security Computational modeling Clustering methods Distortion measurement Cryptography

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