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CL-TAP: An Efficient Certificateless Based Trusted Access Protocol for WLAN

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Chinese Journal of Electronics 2014年第1期23卷 142-146页

作者： MA Zhuo LI Fenghua MA jianfeng ji wenjiang School of Computer Science and Technology Xidian University

Based on the certificateless public key cryptography and the trusted computing technologies, a certificateless based trusted access protocol for WLAN(Wireless local area networks) is proposed. Such protocol realizes the mutual authentication and unicast session key agreement between STA and AP within 3 protocol rounds. In particular, the platform authentication and integrity verification are achieved during the authentication procedure. The security properties of the new protocol are examined using the Extended Canetti-Krawczyk security model. The analytic comparisons show that the new protocol is very efficient in both computing and communications.

关键词： Certificateless public key cryptography Wireless local area networks(WLAN) Trusted computing Authentication protocol Provable security

Motion trajectory prediction based on a CNN-LSTM sequential model

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Science China(Information Sciences) 2020年第11期63卷 248-268页

作者： Guo XIE Anqi SHANGGUAN Rong FEI wenjiang ji Weigang MA Xinhong HEI School of Automation and Information Engineering School of Computer Science and EngineeringXi'an University of Technology

Accurate monitoring the surrounding environment is an important research direction in the field of unmanned systems such as bio-robotics, and has attracted much research attention in recent years. The trajectories of surrounding vehicles should be predicted accurately in space and time to realize active defense and running safety of an unmanned system. However, there is uncertainty and uncontrollability in the process of trajectory prediction of surrounding obstacles. In this study, we propose a trajectory prediction method based on a sequential model, that fuses two neural networks of a convolutional neural network(CNN) and a long short-term memory network(LSTM). First, a box plot is used to detect and eliminate abnormal values of vehicle trajectories, and valid trajectory data are obtained. Second, the trajectories of surrounding vehicles are predicted by merging the characteristics of CNN space expansion and LSTM time expansion;the hyper-parameters of the model are optimized according to a grid search algorithm, which satisfies the double-precision prediction requirement in space and time. Finally, data from next generation simulation(NGSIM) and Creteil roundabout in France are taken as test cases; the correctness and rationality of the method are verified by prediction error indicators. Experimental results demonstrate that the proposed CNNLSTM method is more accurate and features a shorter time cost, which meets the prediction requirements and provides an effective method for the safe operation of unmanned systems.

关键词： bio-robots unmanned system outlier detection hyper-parameters trajectory prediction

A Risk Prediction Model Based on Crash History Data for Railway Trams

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Chinese Journal of Electronics 2023年第5期32卷 963-971页

作者： ji wenjiang YANG jiangcheng WANG Yichuan ZHU Lei QIU Yuan HEI Xinhong School of Computer Science and Engineering Xi’an University of Technology

Risk prediction is an important task to ensuring the driving safety of railway trams. Although data-driven intelligent methods are proved to be effective for driving risk prediction, accuracy is still a top concern for the challenges of data quality which mainly represent as the unbalanced datasets. This study focuses on applying feature extraction and data augmentation methods to achieve effective risk prediction for railway trams, and proposes an approach based on a self-adaptive K-means clustering algorithm and the least squares deep convolution generative adversarial network(LS-DCGAN). The data preprocessing methods are proposed, which include the K-means algorithm to cluster the locations of trams and the extreme gradient boosting recursive feature elimination based feature selection algorithm to retain the key features. The LS-DCGAN model is designed for sparse sample expansion, aiming to address the sample category distribution imbalance problem. The experiments implemented with the public and real datasets show that the proposed approach can reach a high accuracy of 90.69%,which can greatly enhances the tram driving safety.

关键词： Solid modeling Clustering algorithms Feature extraction Prediction algorithms Rail transportation Safety History

One-Time Rational Secret Sharing Scheme Based on Bayesian Game

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Wuhan University Journal of Natural Sciences 2011年第5期16卷 430-434页

作者： TIAN Youliang MA jianfeng PENG Changgen CHEN Xi ji wenjiang Key Laboratory of Computer Network and InformationSecurity of Ministry of Education/Xidian University Xi'an710071 Shaanxi China College of Science Guizhou University Guiyang 550025Guizhou China

The rational secret sharing cannot be realized in the case of being played only once, and some punishments in the one-time rational secret sharing schemes turn out to be empty threats. In this paper, after modeling 2-out-of-2 rational secret sharing based on Bayesian game and considering different classes of protocol parties, we propose a 2-out-of-2 secret sharing scheme to solve cooperative problem of a rational secret sharing scheme being played only once. Moreover, we prove that the strategy is a perfect Bayesian equilibrium, adopted only by the parties in their decision-making according to their belief system （denoted by the probability distribution） and Bayes rule, without requiring simultaneous channels.

关键词： rational secret sharing one-time rational secret sharing Bayesian game perfect Bayesian equilibrium

Tree-Based Proactive Routing Protocol for Wireless Mesh Network

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China Communications 2012年第1期9卷 25-33页

作者： ji wenjiang Ma jianfeng Ma Zhuo Ran Youliang School of Telecommunications Engineering Xidian University Xi＇an 710071 P. R. China School of Computer Science and Technology Xidian University Xi＇an 710071 P. R. China

Wireless Mesh Network （WMN） is seen as an effective Intemet access solution for dynamic wireless applications. For the low mobility of mesh routers in WMN, the backbone topography can be effectively maintained by proactive routing protocol. Pre-proposals like Tree Based Routing （TBR） protocol and Root Driven Routing （RDR） protocol are so centralized that they make the gateway becorre a bottleneck which severely restricts the network performance. We proposed an Optimized Tree-based Routing （OTR） protocol that logically separated the proactive tree into pieces. Route is partly computed by the branches instead of root. We also discussed the operation of multipie Intemet gateways which is a main issue in WMN. The new proposal lightens the load in root, reduces the overhead and improves the throughput. Numerical analysis and simulation results confirm that the perforrmnce of WMN is improved and OTR is more suitable for large scale WMN.

关键词： wireless mesh network 802. lls routing protocol tree-based routing

Towards energy efficient cloud:an optimized ant colony model for virtual machine placement

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Journal of Communications and Information Networks 2016年第4期1卷 116-132页

作者： ZHANG Liumei WANG Yichuan ZHU Lei ji wenjiang School of Computer Science Xi’an Shiyou UniversityXi’an 710065China Faculty of Computer Science and Engineering Xi’an University of TechnologyXi’an 710048China

A virtual machine placement optimization model based on optimized ant colony algorithm is *** model is able to determine the physical machines suitable for hosting migrated virtual ***,it solves the problem of redundant power consumption resulting from idle resource waste of physical ***,based on the utilization parameters of the virtual machine,idle resources and energy consumption models are *** models are dedicated to quantifying the features of virtual resource utilization and energy consumption of physical ***,a multi-objective optimization strategy is derived for virtual machine placement in cloud ***,an optimal virtual machines placement scheme is determined based on feature metrics,multi-objective optimization,and the ant colony *** results indicate that compared with the traditional genetic algorithms-based MGGA model,the convergence rate is increased by 16%,and the optimized highest average energy consumption is reduced by 18%.The model exhibits advantages in terms of algorithm efficiency and efficacy.

关键词： cloud computing energy efficient virtual machine placement multi-objective optimization ant colony optimization

Game strategies for distributed denial of service defense in the Cloud of Things

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Journal of Communications and Information Networks 2016年第4期1卷 143-155页

作者： WANG Yichuan ZHANG Yefei HEI Xinhong ji wenjiang MA Weigang Faculty of Computer Science and Engineering Xi’an University of TechnologyXi’an 710048China

Integration of the IoT(Internet of Things)with Cloud Computing,termed as the CoT(Cloud of Things)can help achieve the goals of the envisioned IoT and future *** a typical CoT infrastructure,the data collected from wireless sensor networks and IoTs is transmitted through a SG(Smart Gateway)to the *** bandwidth between an IoT access point and SG becomes a bottleneck for information transmission between the IoT and the *** propose a novel game theory model to describe the CoT attacker,who expects to use minimum set and energy consumption of IoT attack devices to occupy as many bandwidth resources as possible in a given time period;and the defender,who expects to minimize false *** analyzing this model,we have found that the game theory model is a non-cooperative and repeated incomplete information game,and Nash equilibrium is existent,perfected by the *** best strategy for each stage of the attack is to adjust the attack link number dynamically based on the comparison results of value E and turning point E_(0)for each time *** the same time,the defender adjusts the threshold valueβdynamically,based on the comparison results of the Load value and expected value ofαfor each time *** simulation result shows that our strategy can significantly mitigate the harm of a distributed denial of service attack.

关键词： Cloud of Things network security DDoS attack smart gateway energy consumption

Online Output Estimation for Multimode Process with Dynamic Time-delay

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Online Output Estimation for Multimode Process with Dynamic ...

第三十九届中国控制会议

作者： Pang Chen Guo Xie Han Liu Lili Liang Huan Gao Dan Wang wenjiang ji Xi’an University of Technology

There is a time-delay problem between the correlated process variables of the industrial. It is very important to get accurate time-delay for estimating hard-to-measure variable. The existing methods for solving time-delay need to obtain both easy-to-measure variables and hard-to-measure variable. But the hard-to-measure variable cannot be directly measured due to some technical and cost reasons. To solve this problem, a random forest regression model combining sliding window and maximum information coefficient method is proposed. The on-line estimation of the time-delay between the easy-to-measure variables and the hard-to-measure variable is realized. The process variables are reconstructed by the time-delay parameters. The reconstructed process variables are used to build the soft sensor. Finally, the hard-to-measure variable can be estimated by soft sensor accurately. This method is applied to the process variable estimation of nitric acid produce process by dual-pressure method. The effectiveness of the method is verified by experiment results.

关键词： Time-delay Maximum Information Coefficient Random Forest Regression Soft Sensor

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基于FastDTW的道岔故障智能诊断方法

模式识别与人工智能 2020年第11期33卷 1013-1022页

作者：姬文江左元黑新宏高橋聖中村英夫西安理工大学计算机科学与工程学院西安710048 日本大学船桥274-8501 东京大学东京113-8656

道岔控制列车的行驶方向,是轨道交通系统的关键设备.文中采用ZD7型号道岔转辙机动作电流数据,提出基于快速动态时间规整算法(FastDTW)的道岔故障智能诊断方法.根据原始电流曲线特性将曲线分段处理,通过FastDTW计算待诊断电流曲线与模板... 详细信息

道岔控制列车的行驶方向,是轨道交通系统的关键设备.文中采用ZD7型号道岔转辙机动作电流数据,提出基于快速动态时间规整算法(FastDTW)的道岔故障智能诊断方法.根据原始电流曲线特性将曲线分段处理,通过FastDTW计算待诊断电流曲线与模板电流曲线的扭曲路径距离,根据动态确定的最优阈值诊断故障.实验表明,该方法可适用于单动、双动型号道岔故障诊断问题,仅需200条道岔动作电流历史数据.该方法诊断准确率较高,时间较短,也适用于准确性、实时性要求较高的新型列控系统.

关键词：道岔转辙机故障诊断快速动态时间规整算法(FastDTW)