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X-Mode: A Real Time Approach of Discriminating Wi-Fi Network Impersonators

X-Mode: A Real Time Approach of Discriminating Wi-Fi Network...

引用

International Conference on Next Generation Web Services Practices (NWeSP)

作者： Zhiqi Tao Baikunth Nath Andrew Lonie Department of Information Systems University of Melbourne VIC Australia Department of Computer Science and Software Engineering University of Melbourne VIC Australia

Current Wi-Fi network infrastructure inherently lacks reliable positional knowledge of the origin of individual network packets. As a consequence, attackers are potentially able to impersonate legitimate Wi-Fi network nodes, including both clients and access points, by generating network traffic with all the characteristics of legitimate traffic. To exclusively discriminate illegitimate nodes, we propose a method of using multiple and multiple-angle measurements of a Wi-Fi network nodepsilas signal strength. In this paper we present a real time unsupervised analysis method for identifying duplicate Wi-Fi network nodes which are physically separate. We demonstrate that, given a dense sensor network, data from a small set of identifiable critical sensors are much more valuable in node discrimination than those from other sensors, enabling large improvement in responding speed and discrimination accuracy.

关键词： Telecommunication traffic Wireless LAN Ethernet networks Protocols Data security Monitoring Switches Next generation networking Web services Strontium

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Simulation of Buffer Management Policies in Networks for Grids

Simulation of Buffer Management Policies in Networks for Gri...

引用

Annual Symposium on Simulation

作者： Agustín Caminero Anthony Sulistio Blanca Caminero Carmen Carrión Rajkumar Buyya Department of Computing Systems University of Castilla La Mancha Spain Department of Computer Science and Software Engineering University of Melbourne Australia

Grid technologies are emerging as the next generation of distributed computing, allowing the aggregation of resources that are geographically distributed across different locations. The network remains an important requirement for any Grid application, as entities involved in a Grid system (such as users, services, and data) need to communicate with each other over a network. The performance of the network must therefore be considered when carrying out tasks such as scheduling, migration or monitoring of jobs. Network buffers management policies affect the network performance, as they can lead to poor latencies (if buffers become too large), but also leading to a lot of packet droppings and low utilization of links, when trying to keep a low buffer size. Therefore, network buffers management policies should be considered when simulating a real Grid system. In this paper, we introduce network buffers management policies into the GridSim simulation toolkit. Our framework allows new policies to be implemented easily, thus enabling researchers to create more realistic network models. Fields which will harness our work are scheduling, or QoS provision. We present a comprehensive description of the overall design and a use case scenario demonstrating the conditions of links varied over time.

关键词： Computational modeling Grid computing computer network management computer networks Distributed computing Delay Quality of service Monitoring Processor scheduling computer science

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A fuzzy particle swarm approach to multiobjective quadratic assignment problems

A fuzzy particle swarm approach to multiobjective quadratic ...

引用

2nd Asia International Conference on Modelling and Simulation, AMS 2008

作者： Zhao, Mingyan Abraham, Ajith Grosan, Crina Liu, Hongbo School of Software Dalian University of Technology 116620 Dalian China Centre for Quantifiable Quality of Service in Communication Systems Norwegian University of Science and Technology Trondheim Norway Department of Computer Science Faculty of Mathematics and Computer Science Babes-Bolyai University Cluj-Napoca Romania School of Computer Science and Engineering Dalian Maritime University 116026 Dalian China

ISBN: (纸本)9780769531366

The multiobjective Quadratic Assignment Problem (mQAP) is considered as one of the hardest optimization problems but with many real-world applications. Since it may not be possible to simply weight the importance of each flow for the mQAP, it is best to use Pareto optimization to obtain the Pareto front or an approximation of it. Although Particle Swarm Optimization (PSO) algorithm has exhibited good performance across a wide range of application problems, research on mQAP has not much been investigated. This paper introduces a fuzzy particle swarm algorithm to handle the Multiobjective Quadratic Assignment Problem (mQAP)- In the fuzzy scheme, the representations of the position and velocity of the particles in the conventional PSO is extended from the real vectors to fuzzy matrices. A new mapping is introduced between the particles in the swarm and the problem space in an efficient way. We evaluated the performance of the proposed approach. Empirical results illustrate that the approach can be applied for solving mQAP's very effectively. © 2008 IEEE.

关键词： Pareto principle

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An Approach Using Hybrid Methods to Select Informative Genes from Microarray Data for Cancer Classification

An Approach Using Hybrid Methods to Select Informative Genes...

引用

Asia International Conference on Modeling & Simulation

作者： Mohd Saberi Mohamad Sigeru Omatu Michifumi Yoshioka Safaai Deris Department of Computer Science and Intelligent Systems Graduate School of Engineering Osaka Prefecture University Sakai Japan Department of Software Engineering Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Skudai Johor Malaysia

Recent advances in microarray technology allow scientists to measure expression levels of thousands of genes simultaneously in human tissue samples. This technology has been increasingly used in cancer research because of its potential for classification of the tissue samples based only on gene expression levels. A major problem in these microarray data is that the number of genes greatly exceeds the number of tissue samples. Moreover, these data have a noisy nature. It has been shown from literature review that selecting a small subset of informative genes can lead to an improved classification accuracy. Thus, this paper aims to select a small subset of informative genes that is most relevant for the cancer classification. To achieve this aim, an approach using two hybrid methods has been proposed. This approach is assessed on two well-known microarray data. The experimental results have shown that the gene subsets are very small in size and yield better classification accuracy as compared with other previous works as well as four methods experimented in this work. In addition, a list of informative genes in the best subsets is also presented for biological usage.

关键词： Cancer Gene expression Tumors computer science Genetic mutations Asia Computational modeling computer simulation Hybrid intelligent systems Data engineering

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Real-Time Distributed Discrete-Event Execution with Fault Tolerance

Real-Time Distributed Discrete-Event Execution with Fault To...

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IEEE Symposium on Real-Time and Embedded Technology and Applications

作者： Thomas Huining Feng Edward A. Lee Center for Hybrid and Embedded Software Systems Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA

We build on PTIDES, a programming model for distributed embedded systems that uses discrete-event (DE) models as program specifications. PTIDES improves on distributed DE execution by allowing more concurrent event processing without backtracking. This paper discusses the general execution strategy for PTIDES, and provides two feasible implementations. This execution strategy is then extended with tolerance for hardware errors. We take a program transformation approach to automatically enhance DE models with incremental checkpointing and state recovery functionality. Our fault tolerance mechanism is lightweight and has low overhead. It requires very little human intervention. We incorporate this mechanism into PTIDES for efficient execution of fault- tolerant real-time distributed DE systems.

关键词： Fault tolerance Embedded system Hardware Real time systems Embedded software Distributed computing Checkpointing Fault tolerant systems Concurrent computing Application software

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In-network data estimation for sensor-driven scientific applications 08

引用

Proceedings of the 15th international conference on High performance computing

作者： Nanyan Jiang Manish Parashar Center for Autonomic Computing The Applied Software Systems Laboratory Department of Electrical and Computer Engineering Rutgers University Piscataway NJ

ISBN: (纸本)9783540898931

Sensor networks employed by scientific applications oftenneed to support localized collaboration of sensor nodes to perform in-network data processing. This includes new quantitative synthesis andhypothesis testing in near real time, as data streaming from distributedinstruments, to transform raw data into high level domain-dependent information. This paper investigates in-network data processing mechanismswith dynamic data requirements in resource constrained heterogeneoussensor networks. Particularly, we explore how the temporaland spatial correlation of sensor measurements can be used to trade offbetween the complexity of coordination among sensor clusters and thesavings that result from having fewer sensors involved in in-network processing,while maintaining an acceptable error threshold. Experimentalresults show that the proposed in-network mechanisms can facilitate theefficient usage of resources and satisfy data requirement in the presenceof dynamics and uncertainty.

关键词： in-network data estimation sensor system programming sensor-driven scientific applications

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Localization-oriented coverage based on Bayesian estimation in camera sensor networks

Localization-oriented coverage based on Bayesian estimation ...

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9th IEEE International Symposium on Wireless, Mobile and Multimedia Networks, WoWMoM 2008

作者： Liu, Liang Zhang, Xi Huadong, Ma. Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX 77843 United States Beijing Key Lab. of Intelligent Telecomm Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781424421008

Target tracking and localization are important applications in camera sensor networks. Although coverage is a very important research topic in wireless sensor networks, and the coverage problem for target detection has been intensively studied, few considers the coverage problem from the perspective of target localization. In this paper, we investigate the coverage problem from the perspective of target localization for camera sensor networks. We first propose a novel localization-oriented sensing model based on the perspective projection of camera. Then, we propose a new notion of Localization-oriented coverage (L-coverage for short). We assume that all camera sensors make the measurements independent of other in the field, and these camera sensors can cooperate to make an accurate estimation for the location of the target. In addition, the relationships among L-coverage, 2-coverage, and the density of camera sensors are also discussed in this paper. The obtained results show that our model can be effectively deployed in many practical scenarios. © 2008 IEEE.

关键词： Target tracking

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A multiple expert-based melanoma recognition system for dermoscopic images of pigmented skin lesions

A multiple expert-based melanoma recognition system for derm...

引用

IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Md. Mahmudur Rahman Prabir Bhattacharya Bipin C. Desai Department of Computer Science and Software Engineering Concordia University Montreal Canada Concordia Institute for Information Systems Engineering Concordia University Montreal Canada

This paper presents an integrated decision support system for an automated melanoma recognition of dermoscopic images based on multiple expert fusion. In this context, the ultimate aim is to support decision making by predicting image categories (e.g., melanoma, benign and dysplastic nevi) by combining outputs from different classifiers. A fast and automatic segmentation method to detect the lesion from the background healthy skin is proposed and lesion-specific local color and texture-related features are extracted. For the classification, combining experts which are classifiers with different structures, are examined as alternative solution instead of an individual classifier. In this approach, probabilistic outputs of the experts are combined based on the combination rules that are derived by following Bayespsila theorem. The category label with the highest confidence score is considered to be the class of a test image. Experimental results on a collection of 358 dermoscopic images demonstrate the effectiveness of the proposed expert fusion-based approach.

关键词： Malignant tumors Image recognition Pigmentation Skin Lesions Decision support systems Decision making Image segmentation Feature extraction Testing

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Performance models for peering Content Delivery Networks

Performance models for peering Content Delivery Networks

引用

IEEE International Conference on Networks

作者： Mukaddim Pathan Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Parkville VIC Australia

A content delivery network (CDN) is expected to provide high performance content delivery, which requires scalable infrastructure to achieve global coverage. The provision of such infrastructure may form a substantial entry barrier for new CDN providers, as well as affecting commercial viability of the existing ones. Peering of CDNs can be a way to allow dynamic infrastructural cooperation between CDNs in a scalable manner, in order to mitigate the impact of flash crowds and to achieve better overall service times. In this paper, we present a quality of service (QoS)-driven model to evaluate the user perceived performance of CDN peering relationships. In this model, an overloaded CDN redirects a fraction of its incoming requests to peered CDNs and thereby can avoid the impact of flash crowds. The model-based approach also assists in making concrete QoS guarantee for a given CDN. Our approach endeavors to achieve scalability for a CDN in a user transparent manner.

关键词： Quality of service Web server Costs Delay Analytical models Grid computing Laboratories computer science software engineering Concrete

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Solving Sum and Product Riddle via BDD-based model checking

Solving Sum and Product Riddle via BDD-based model checking

引用

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008

作者： Luo, Xiangyu Su, Kaile Sattar, Abdul Chen, Yan Tsinghua National Laboratory for Information Science and Technology School of Software Tsinghua University Beijing 100084 China Department of Computer Science Guilin University of Electronic Technology Guilin 541004 China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China Institute for Integrated and Intelligent Systems Griffith University Brisbane QLD 4111 Australia

ISBN: (纸本)9780769534961

We model the Sum and Product Riddle inpublic announcement logic, which is interpreted on an epistemic Kripke model. The model is symbolically represented as a finite state program with n agents. A model checking method to the riddle is developed by using the BDD-based symbolic model checking algorithm for logic of knowledge we developed in [7]. The method is implemented by extending the model checker MCTK [7] and then the solution of the riddle is verified successfully. © 2008 IEEE.

关键词： Model checking

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