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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Yang Liu Chengzhi Li Changchuan Yin Huaiyu Dai Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China 100876

ISBN: (纸本)9781479999897

We study the connectivity of overlaid wireless networks where two users can communicate if the signal-to-interference ratio is larger than a threshold subject to an outage constraint. By using percolation theory, we first specify a 2-dimensional connectivity region defined as the set of density pairs--the density of secondary users and the density of primary users--within which the secondary network is percolated. Several interesting properties of this region are also revealed. Our work provides a new perspective for better understanding of the connectivity of large-scale overlaid networks.

关键词： CONNECTIVITY density pairs primary users

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Improving mobility prediction performance with state based prediction method when the user departs from routine

Improving mobility prediction performance with state based p...

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IEEE International Conference on Big Data Analysis (ICBDA)

作者： Airui Li Qiujian Lv Yuanyuan Qiao Jie Yang Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications (BUPT) Beijing China

ISBN: (纸本)9781467395922

With the rapid increase of the mobile users, mobility prediction has attracted more and more attention. For the moment, a lot of location prediction methods have shown that humans are highly predictable in their movements. However, the method of predicting locations when the user's behavior unexpectedly transits from routine to irregular pattern is undiscovered. In this paper, we propose a practical model based on State Based Prediction (SBP) method to predict the place to be visited when the user departs from the routine. First, we predict the routine level of user locations to discover the irregular places. Second, we use Markov method to predict future locations. Then, when user departs from the routine, we use SBP method to conduct prediction, meanwhile the prediction results of the other places remain consistent with the output of the Markov predictor. Experiments with the real mobile dataset show that our prediction model outperforms other basic mobility predictors, for example, the accuracy of our method can reach more than 83%, which is higher than the accuracy of 60% achieved by Lempel-Ziv (LZ) predictor.

关键词： Trajectory Markov processes Predictive models Mobile communication Entropy Mobile computing systems architecture

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Detecting Malicious Domains by Massive DNS Traffic Data Analysis

Detecting Malicious Domains by Massive DNS Traffic Data Anal...

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International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC

作者： Shiqi Tian Cheng Fang Jun Liu Zhenming Lei Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications HAOHAN Data Technology Co. LTD. Beijing China

ISBN: (纸本)9781509007691

DNS (Domain name system) is one of the most prevalent protocols on modern networks and is essential for the correct operation of many network activities including the malicious operation. Monitoring the DNS traffic is an effective method to detect malicious activities. In this paper, we proposed an approach to detect malicious domains by analyzing massive mobile web traffic data. We used multiple features to classify, including the textual features and the traffic statistics features of domains and presented three typical classifiers to compare the classifying effect of each. Spark framework is leveraged to speed up the calculation of a large-scale DNS traffic. The efficiency of our system makes us believe the approach can help a lot in the field of network security.

关键词： Feature extraction Support vector machines Sparks Computational modeling IP networks Internet Monitoring

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Remote Video Interception system Implemented on USRP

Remote Video Interception System Implemented on USRP

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IEEE International Conference on Internet of Things

作者： Yuan Zhou Li Deng Weijun Hong Chen Zhang Shufang Li Zhen Wang Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing China 100876

ISBN: (纸本)9781509058815

With the development of the technology, life is filled with increasing information equipment. When they work, a great deal of information will be radiated. For the leaked information, an interception system is built with USRP (Universal Software Radio Peripheral), and the line synchronization signal was extracted with a method called cepstrum. Compared with the method of autocorrelation, the new method is more conducive to find the interval between the neighboring peaks. And the system has more obvious advantages compared to the traditional system composed of AD (Analog-Digital) and DSP (Digital Signal Process) devices. It is small in size, inexpensive, reconfigurable, and it is convenient to operate. The results of experiments indicate that 16 fonts can be reconstructed clearly. It fully reflects its superior performance.

关键词： TEMPEST USRP information leakage line synchronization signal

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A fast handoff scheme for ieee 802.11 networks using software defined networking

A fast handoff scheme for ieee 802.11 networks using softwar...

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International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Biao Zhang Xiangming Wen Zhaoming Lu Tao Lei Xiaoguang Zhao Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Beijing Laboratory of Advanced Information Network Beijing China

ISBN: (纸本)9781509053773

Due to the limited coverage range of access points (APs) and the mobility of stations (STAs), handoff occurs frequently in IEEE 802.11 wireless local area network (WLAN). However, traditional handoff mechanisms employed at STAs have inherent defects which make it hard to realize seamless handoff, it is a challenging issue for supporting seamless handoff service in WLAN. Extensions to Software Defined networking (SDN) framework for WLAN could provide new solutions to address this issue. In this paper, we propose a pre-scan based fast handoff scheme for SDN based WLAN system. The proposed scheme can help STA obtain the best alternative AP in advance after the pre-scan process, and when the handoff is actually triggered, STA can perform the authentication and reassociation process toward the alternative AP directly. Moreover, we adopt Kalman filter to minimize the fluctuation of received signal strength (RSS), thus reducing the unnecessary pre-scan processes and handoffs. Simulation results show that the proposed scheme can effectively reduce the handoff delay.

关键词： Wireless LAN Delays Probes Switches IEEE 802.11 Standard Authentication Wireless communication

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ANALYSIS OF MOBILE SUBSCRIBERS' BEHAVIOR PATTERN BASED ON NON-NEGATIVE MATRIX FACTORIZATION

ANALYSIS OF MOBILE SUBSCRIBERS' BEHAVIOR PATTERN BASED ON NO...

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2016 5th IEEE International Conference on network Infrastructure and Digital Content(IC-NIDC 2016)

作者： Han Deng Yonggang Qi Jun Liu Jie Yang Beijing Key Laboratory of Network System Architecture and Convergence Center for Data Science Beijing University of Posts and Telecommunications

As the increasing number of intelligent mobile phones that are available for people which lead to tones of network flow data are ***,how to dig the user's behavior pattern by using the data collected form mobile phones is a significant *** some achievements have been made in this area,it is still too complicated to be put into practice due to various conditions needed by traditional research ***,users' data of mobile communication network gradually improved,so that it only requires part of information to reach the ideal ***,we propose a Non-negative Matrix Factorization based method to analyze the mobility patterns of mobile phone users,i.e.,find the groups of people with the similar mobility *** experimental results on the real data obtained from the capital of a south province validate our proposed method.

关键词： Non-negative matrix factorization Community detection

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A Cross-Polarization Discrimination Compensation Algorithm for Polarization Modulation

A Cross-Polarization Discrimination Compensation Algorithm f...

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IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications

作者： Jinjin Yuan Fangfang Liu Caili Guo Chunyan Feng Yao Nie Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781509032556

In dual-polarized channel, the BER performance of polarization modulation (PM) can be decreased by cross-polarization discrimination (XPD) effect which can introduce cross power leakage. Therefore, a XPD compensation algorithm for PM is proposed. Based on the analyses about the effect of XPD on PM, the compensation factor is obtained by the channel state information. Then by compensating the state of polarization of the received signals, the cross power leakage between two orthogonal components of the states of polarization is mitigated, and the constellation distortion of PM is reduced. The analyses reveal that the compensation algorithm can effectively improve the BER performance of PM affected by XPD. Finally, simulation results show that when the XPD is a definite value, to achieve equivalent BER performance of 2PM, the SNR needed is 2.5dB reduction after compensation.

关键词： Cross-polarization discrimination (XPD) Polarization modulation (PM) BER Compensation algorithm Dual-polarized channel

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Analysis of mobile subscribers' behavior pattern based on non-negative matrix factorization

Analysis of mobile subscribers' behavior pattern based on no...

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IEEE International Conference on network Infrastructure and Digital Content (IC-NIDC)

作者： Han Deng Yonggang Qi Jun Liu Jie Yang Center for Data Science Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory of Network System Architecture and Convergence

ISBN: (纸本)9781509012473

As the increasing number of intelligent mobile phones that are available for people which lead to tones of network flow data are produced. Hence, how to dig the user's behavior pattern by using the data collected form mobile phones is a significant problem. While some achievements have been made in this area, it is still too complicated to be put into practice due to various conditions needed by traditional research method. Meanwhile, users' data of mobile communication network gradually improved, so that it only requires part of information to reach the ideal status. Hence, we propose a Non-negative Matrix Factorization based method to analyze the mobility patterns of mobile phone users, i.e., find the groups of people with the similar mobility patterns. The experimental results on the real data obtained from the capital of a south province validate our proposed method.

关键词： Mobile communication Matrix decomposition Mobile computing Internet Base stations Mobile handsets Clustering algorithms

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Improving Mobility Prediction Performance with State Based Prediction Method When the User Departs from Routine

Improving Mobility Prediction Performance with State Based P...

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2016 IEEE International Conference on Big Data Analysis

作者： Airui Li Qiujian Lv Yuanyuan Qiao Jie Yang Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications (BUPT)

With the rapid increase of the mobile users, mobility prediction has attracted more and more attention. For the moment, a lot of location prediction methods have shown that humans are highly predictable in their movements. However, the method of predicting locations when the user's behavior unexpectedly transits from routine to irregular pattern is undiscovered. In this paper, we propose a practical model based on State Based Prediction(SBP) method to predict the place to be visited when the user departs from the routine. First, we predict the routine level of user locations to discover the irregular places. Second, we use Markov method to predict future locations. Then, when user departs from the routine, we use SBP method to conduct prediction, meanwhile the prediction results of the other places remain consistent with the output of the Markov predictor. Experiments with the real mobile dataset show that our prediction model outperforms other basic mobility predictors, for example, the accuracy of our method can reach more than 83%, which is higher than the accuracy of 60% achieved by Lempel-Ziv(LZ) predictor.

关键词： mobility prediction departures from routine State Based Prediction(SBP)

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Resource scheduling virtualization in service-oriented future Internet architecture

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The Journal of China Universities of Posts and Telecommunications 2015年第4期22卷 92-100页

作者： Li Lan Chen Jianya Cui Hongyan Huang Tao Liu Yunjie State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications

Service-oriented future internet architecture（SOFIA） is a clean-slate network architecture. In SOFIA, a service request is mainly processed through service resolution and network resource allocation. To realize the network resource allocation, we reference the idea of network virtualization and propose resource scheduling virtualization. In resource scheduling virtualization, a service request is abstracted as a virtual network（VN） and the network resources are allocated by mapping the VN onto the physical network. Resource scheduling virtualization provides centralized resource scheduling control within an autonomous system（AS） and achieves better controllability compared with the distributed schemes. Besides, resource scheduling virtualization supports multi-site selection as well. Meanwhile, we propose a collection of resource scheduling algorithms based on maximum resource tree（MRT） adapting to different scenarios. According to the simulation results, the proposed algorithms show good performance on the key metrics, such as acceptance ratio, revenue, cost and utilization. Moreover, the simulation results reveal that our algorithm is more efficient than the traditional ones.

关键词： SOFIA resource scheduling virtualization virtual network embedding maximum resource tree（MRT）

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