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Integrating Trust and Role for Secure Interoperation in Multi-Domain Environment

Integrating Trust and Role for Secure Interoperation in Mult...

引用

International Conference on Information Security and Assurance, ISA

作者： Jianfeng Lu Ruixuan Li Zhengding Lu Bing Li Intelligent and Distributed Computing Laboratory College of Computer Science and Technology Huazhong University of Science and Technology Wuhan China State Key Laboratory of Software Engineering Wuhan University of China Wuhan China

Traditional access control disciplines such as RBAC has difficulty in covering open and decentralized multi-centric systems because it has focused on a closed system where all users are known and primarily utilizes a server-side reference monitor within the system. Trust management has relaxed this known user restriction and allowed authorize for strangers based on their credentials. However, trust management has also been found to be lacking because of certain inherent drawbacks with the notion of credential. In this work, a new access control model T&RBAC is presented in this paper. It integrates RBAC and TM. User can be assigned to local roles, also can be assigned to foreign roles based on his credential and local roles. We proof that there is no security constraints in T&RBAC. To some extends, T&RBAC is only a core model and can be extended for specific requirement.

关键词： Access control Environmental management Digital control Open systems Control systems Collaborative work Information security Distributed computing Educational institutions Computer science

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Automatic pixel-shift detection and restoration in videos

Automatic pixel-shift detection and restoration in videos

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Haidong Yuan Huadong Ma Xiaodong Huang Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Institute of Electronic Technology University of Information Engineering Zhengzhou China

A common form of serious defect in video is pixel-shift. It is caused by the consecutive pixels loss introduced by video transmission systems. Pixel-shift means a large amount of pixel shifts one by one due to a small quantity of image data loss. The damaged region in affected frame is usually large, and thus the visual effect is often very disturbing. So far there is no method of automatically treating pixel-shift. This paper focuses on a difficult issue to locate pixel-shift in videos. We propose an original algorithm of automatically detecting and restoring pixel-shift. Pixel-shift frames detection relies on spatio-temporal information and motion estimation. Accurate measure of pixels shift is best achieved based on the analysis of temporal-frequency information. Restoration is accomplished by reversing the pixels shift and spatio-temporal interpolation. Experimental results show that our completely automatic algorithm can achieve very good performances.

关键词： Pixel Image restoration Feature extraction Videos Video sequences Optical filters Films

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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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The sliced Gaussian mixture filter for efficient nonlinear estimation

The sliced Gaussian mixture filter for efficient nonlinear e...

引用

International Conference on Information Fusion

作者： Vesa Klumpp Felix Sawo Uwe D. Hanebeck Dietrich Franken Intelligent Sensor-Actuator-Systems Laboratory Institute of Computer Science and Engineering Universität Karlsruhe Germany Data Fusion Algorithms and Software EADS Deutschland GmbH Ulm Germany

This paper addresses the efficient state estimation for mixed linear/nonlinear dynamic systems with noisy measurements. Based on a novel density representation - sliced Gaussian mixture density - the decomposition into a (conditionally) linear and nonlinear estimation problem is derived. The systematic approximation procedure minimizing a certain distance measure allows the derivation of (close to) optimal and deterministic estimation results. This leads to high-quality representations of the measurement-conditioned density of the states and, hence, to an overall more efficient estimation process. The performance of the proposed estimator is compared to state-of-the-art estimators, like the well-known marginalized particle filter.

关键词： Approximation methods Estimation Particle filters Function approximation Particle measurements Atmospheric measurements Nonlinear dynamical systems

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Collaborative Target Localization in Camera Sensor Networks

Collaborative Target Localization in Camera Sensor Networks

引用

IEEE Conference on Wireless Communications and Networking

作者： Liang Liu Huadong Ma Xi Zhang Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

Target localization is an important application in sensor networks. Although the localization problem in acoustic /radar sensor networks has been intensively studied, few consider the problem in camera sensor networks. In this paper, we propose a method to utilize the active cameras to localize the target collaboratively. We describe the perspective projection of target firstly, and then utilize the Gaussian error model to establish a more practical target projection model. On the basis of the target projection model, we present a vision-based localization model, and use Shannon entropy to quantify the localization gain due to the observation of camera. Case study demonstrates the validity and efficiency of our design.

关键词： Collaboration intelligent sensors Surveillance Acoustic sensors Entropy Smart cameras Telecommunications Image sensors Communications Society intelligent networks

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Analysis for Localization-Oriented Coverage in Camera Sensor Networks

Analysis for Localization-Oriented Coverage in Camera Sensor...

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IEEE Conference on Wireless Communications and Networking

Camera sensor networks have recently emerged as a very critical research topic. Target tracking and localization are important applications in camera sensor networks. In this paper, we investigate the coverage problem from the perspective of target localization in camera sensor network, compare to the coverage problem for target detection has been intensively studied. We first propose a novel localization-oriented sensing model based on the perspective projection of the camera. Then, assuming that the camera sensors are deployed as a random uniform process, we study how the probability of the localization- oriented coverage ( L -coverage for short) changes with the number of sensors or some other factors. Finally, we use simulations to validate our theoretical analysis and demonstrate the boundary effect on L -coverage probability. The obtained results show that our model can be effectively deployed in practical scenarios.

关键词： Surveillance intelligent sensors Telecommunications Image sensors Communications Society Smart cameras intelligent networks Multimedia systems Information systems Laboratories

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On Directional K-Coverage Analysis of Randomly Deployed Camera Sensor Networks

On Directional K-Coverage Analysis of Randomly Deployed Came...

引用

IEEE International Conference on Communications (ICC)

作者： L. Liu H. Ma X. Zhang Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Networking and Information System Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

Recently, smart surveillance is becoming a very important application of camera sensor networks. Most face recognition and tracking techniques employed in surveillance systems rely on the assumption of a frontal view of the human face. In order to detect the precise face orientation by cooperation among multiple cameras, we need to guarantee that each point in monitored region be covered by more than one camera. In this paper, we address the problem of Directional if-Coverage (DKC) in camera sensor networks. The DKC problem is different from that in conventional sensor networks due to the two aspects: directionality of sensing model and effective sensing. In particular, we propose a mathematical model to describe the relation among the number of cameras deployed randomly, the range of effective sensing angle, and the rate of directional if-coverage. Finally, we use simulations to show the effectiveness of deploying our model in practical scenarios.

关键词： Face detection Monitoring Sensor phenomena and characterization intelligent sensors Smart cameras Telecommunications Humans Mathematical model Video surveillance Eyes

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Bond-Percolation Based Optimal Density for Exposure-Path Prevention in Wireless Sensor Networks

Bond-Percolation Based Optimal Density for Exposure-Path Pre...

引用

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

作者： Liang Liu Xi Zhang Huadong Ma Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing China Networking and Information System Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

Most existing works on sensor coverage mainly concentrate on the full coverage models which ensure that all points in the deployment region are covered at the expense of high complexity and cost. In contrast, the exposure-path prevention does not require full coverage sensor deployment, and instead it only needs the partial coverage, because the exposure paths are prevented as long as no moving objects or phenomena can go through a deployment region without being detected. Towards this end, we focus on the partial coverage by applying the percolation theory to solve the exposure path problem for wireless sensor networks. We propose a bond-percolation theory based scheme by mapping the exposure path problem into a bond percolation model. Using this model, we derive the critical density where sensors are deployed according to a 2-dimensional Poisson process. We evaluate our proposed model by simulations.

关键词： Bonding Wireless sensor networks Sensor phenomena and characterization Object detection intelligent sensors Telecommunications Costs Intrusion detection Information systems Laboratories

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

Localization-oriented coverage based on Bayesian estimation ...

引用

IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM)

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

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.

关键词： Cameras Sensors Bayesian methods Wireless sensor networks Distance measurement Noise Noise measurement

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Tree parity machine-based One-Time Password authentication schemes

Tree parity machine-based One-Time Password authentication s...

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International Joint Conference on Neural Networks (IJCNN)

作者： Tieming Chen Samuel H. Huang College of Software Engineering Zhejiang University of Technology Hangzhou China Doctor candidate at College of Computer Science Beihang University Beijing China Intelligent System Laboratory University of Cincinnati Cincinnati OH USA

One-time password (OTP) is always used as the strongest authentication scheme among all password-based solutions. Currently, consumer devices such as smart card have implemented OTP based two-factor authentications for secure access controls. Such solutions are economically sound without support of timestamp mechanisms. Therefore, synchronization of internal parameters in OTP models, such as moving factor or counter, between the client and server is the key challenge. Recently, a novel phenomenon shows that two interacting neural networks, called Tree Parity Machines (TPM), with common inputs can finally synchronize their weight vectors through finite steps of output-based mutual learning. The improved secure TPM can well be utilized to synchronize parameters for OTP schemes. In this paper, TPM mutual learning scheme is introduced, then two TPM-based novel OTP solutions are proposed. One is a full implementation model including initialization and rekeying, while the other is light-weight and efficient suitable for resource-constrained embedded environment. Security and performance on the proposed protocols are at final discussed.

关键词： Authentication Synchronization Artificial neural networks Protocols Cryptography Security Servers

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