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50th ACM Turing Conference - China, ACM TUR-C 2017

作者： He, Liang Li, Zhixiang Shen, Chao National Key Laboratory of Science and Technology on Blind Signal Processing P. O. Box 666 Chengdu Sichuan610041 China MOE KLINNS Lab Xi'an Jiaotong University P. O. Box 1088 Xi'an Shaanxi710049 China

ISBN: (纸本)9781450348737

Keystroke dynamics is the process to identify or authenticate individuals based on the typing rhythm behaviors. There are many classifications proposed to check the user's legitimacy, and therefore we should make it clear how they perform in order to confirm promising research direction. Nevertheless, these researches provide experiments in different situations such as datasets, conditions and methodologies as well. This paper aims to benchmark the algorithms in the same dataset and feature in order to measure the performance on an equal level. Using dataset containing 51 subjects' typing rhythm, we implemented and evaluated 13 classifiers measured by F1-measure. We also develop a way to process the typing data, and test it on these algorithms. Considering the case that the model should reject outlander, we test the algorithms on open set. The top-performing classifier achieves F1-measure rates 0.92 when using 50 subjects' typing normalized data to train and the remaining one to test. The results, along with the normalization methodology, constitute a benchmark for comparing classifiers and measuring performance of keystroke dynamics for insider detection. © 2017 ACM.

关键词： Classification (of information)

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Three-dimensional Reconstruction Technique Based on Scattering Point Extraction

Three-dimensional Reconstruction Technique Based on Scatteri...

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2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017)

作者： Bo Cheng Huafeng Peng Long Li Jidong Qin the National Key Laboratory of Science and Technology on Blind Signal Processing the National Digital Switching Engineering & Technological R&D Center

The purpose of this paper is to find a more effective way to reconstruct the structure of a *** this paper,the principle of ISAR and In ISAR signal formation and imaging are analyzed by the perspective of analyzing the target linear frequency modulation echo signal and combining with ISAR imaging *** proposed a method of In ISAR scattering point extraction technology based on CLEAN algorithm and threshold *** compare it to the method of image matching *** simulation results show that the In ISAR reconstruction technique based on scattering point extraction method is a more effective one,with higher detection probability and has an ability to suppress the influence of noise and sidelobe effect,under the condition of noise.

关键词： Inverse synthetic aperture radar(ISAR) Interference ISAR Scattering point In ISAR imaging

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Comparative Channel Study of Ray Tracing and Measurement for an Indoor Scenario at 28 GHz

Comparative Channel Study of Ray Tracing and Measurement for...

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European Conference on Antennas and Propagation

作者： Jinnan Zhan Jianhua Zhang Lei Tian Xinzhuang Zhang Pan Tang Jianwu Dou Hewen Wei Key Lab of Universal Wireless Communications Ministry of Education State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications Mailbox NO.92 100876 Beijing China Wireless Algorithm Department Product R&D system ZTE Corp. Ltd. 201210 Shanghai China National Key Laboratory of Science and Technology on Blind Signal Processing 610041 Chengdu Sichuan China

The millimeter wave communication is important for future wireless systems. In this paper, the channel characteristics at 28 GHz in an indoor scenario are researched based on ray tracing (RT) simulation and measurement. In the RT simulation, various configurations, such as different number of reflections, diffractions and penetrations are used. As for the measurement, two setups are implemented in order to analyze more parameters. Setup one is that biconical antennas are used at both the transmitter (TX) and receiver (RX). The other setup is that horn antenna at RX is rotated 360° in azimuth with a step of 5° when an omni-directional antenna located at TX. Meanwhile, antenna is rotated one circle with an elevation angle of 10°, 0° and -10°, respectively. Path loss and K-factor are analyzed firstly, and analysis results indicate the RT result with 1 or 2 reflections, 1 diffractions and 5 penetrations in this conference room is closest to the measurement result and channel models in 3GPP TR 38.901. Then, the root mean square (RMS) delay spread and RMS angular spread are investigated, which shows the value of measurement is a bit larger than RT because of the limitation of azimuth and elevation step. According to all the results, 1-2 reflections, 1 diffraction and 5 penetrations can be used in RT for future analysis of indoor scenario at 28 GHz.

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Some features of the interaction of electromagnetic radiation with complex fractal objects

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Journal of Physics: Conference Series 2019年第1期1348卷

作者： V A Tupik A A Potapov V I Margolin Department of Radio Microelectronics and Radio Equipment Technology Saint Petersburg Electrotechnical University 'LETI' Saint Petersburg 197376 Russia Kotel'nikov Institute of Radio Engineering and Electronics Russian Academy of Sciences Moscow 125009 Russia Jinan University (JNU) College of Information Science and Technology / College of Cyber Security Guangzhou 510632 China Cooperative Chinese-Russian Laboratory of Informational Technologies and Signals Fractal Processing Guangzhou 510632 China

The effects and phenomena arising from the interaction of both coherent structured and scattered electromagnetic radiation with complex fractal objects are considered. Attention is paid to such fractal objects as complex diffraction gratings. The questions of their practical application and further researches are discussed.

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Specific Emitter Identification based on the Energy Envelope of Transient Signal

Specific Emitter Identification based on the Energy Envelope...

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2016 6th International Conference on Machinery,Materials,Environment,Biotechnology and Computer(MMEBC 2016)

作者： Fei Zhuo Yuanling Huang Jian Chen Science and Technology on Blind Signal Processing Laboratory

Specific Emitter Identification（SEI） is the method to identify the individual radio emitter using the transmitted signals’ characteristic called Radio Frequency Fingerprint（RFF）, which are originated from transmitter imperfectionsA novel SEI approach to extract transient fingerprint features of energy envelope of transient signals is proposed in this paperThe origin of energy envelop is explored, and a nonlinear system model is utilized to explain how the features of energy envelope produceAn iterative least squares identification algorithm is proposed to extract the parameters of model, which can be constructed the fingerprint featuresExperimental results demonstrate that the method is effective, and the method can be applicable any signal of TDMA system.

关键词： specific emitter identification radio frequency fingerprint energy envelope iterative least squares

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Normal-Mode Based MUSIC for Bearing Estimation in Shallow Water Using Acoustic Vector Sensors

Normal-Mode Based MUSIC for Bearing Estimation in Shallow Wa...

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2016 International Conference on Mechatronics Engineering and Information technology(ICMEIT 2016)

作者： Weiwei Ai Jinyu Xiong Xiaoyong Zhang Science and Technology on Blind Signal Processing Laboratory

ISBN: (纸本)9781510829039

To realize unbiased bearing estimates of multiple acoustic sources in a range-independent shallow water, Normal-Mode based MUSIC(NM-MUSIC) method using acoustic vector sensor(AVS) array is proposed in this paper. Comparing to NM-MUSIC method based on scalar array, the method based on AVS array solves the problem of port and starboard ambiguity, and also breaks through the limitation of half wavelength. Meanwhile, the method realizes unbiased bearing estimates, while most of the conventional Direction of Arrival(DOA) methods result in biased bearing estimates in shallow water. Simulation results show that the performance of the new method proposed is better than that of the original method.

关键词： Acoustic vector sensor array Normal-Mode based MUSIC Shallow ocean Unbiased bearing estimates

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Browser Identification Based on Encrypted Traffic

Browser Identification Based on Encrypted Traffic

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2016 International Conference on Communications, Information Management and Network Security (CIMNS2016)

作者： Changjiang Liu Jiesi Han Qiang Wei National Key Laboratory of Science and Technology on Blind Signal Processing

ISBN: (纸本)9781510830981

Network traffic encryption brings security to network communication, however it also brings challenges to network monitoring. As more and more major websites use encryption protocol to protect imformation of visitors, it is a burning issue to identify client when session is encrypted. In this paper, we present browser identification of HTTPS client based on packet length. The sequence of request packet length is different among browsers and our experiment shows that it is possible to recognize what kind of browser the traffic comes from according to length sequence. We theoretically analyze the possibility of using the request packet length to identify browsers and show the method of using length sequence to establish dictionary. The dictionaries are used to distinguish unknown traffic flow. Our experiment results show that we can get accurate results of browser identification in HTTPS communication through packet length analysis.

关键词： HTTPS accecss traffic packet length browser identificaion

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Specific Emitter Identification based on linear polynomial fitting of the energy envelope

Specific Emitter Identification based on linear polynomial f...

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International Conference on Electronics Information and Emergency Communication

作者： Fei Zhuo Yuanling Huang Jian Chen Science and Technology on Blind Signal Processing Laboratory Chengdou China

ISBN: (纸本)9781509019984

Specific Emitter Identification (SEI) is the technique that identifies the individual radio emitter using the Radio Frequency Fingerprint (RFF), which are originated from the imperfections and differences of transmitters. Previous SEI techniques are sensitive to noise and need enough sampled points. In this paper, a novel SEI approach to extracting fingerprint features of energy envelope of transient signals is proposed. A linear system model is utilized to fit the energy envelope, and the fingerprinting features are constructed by the polynomial coefficients estimated with least-squares algorithm. The results of experiments on actual burst signals demonstrate that the method is effective.

关键词： Feature extraction Transient analysis Fingerprint recognition Linear systems Radio transmitters Transforms Wireless communication

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Freshet Method for Wideband Spectrum Sensing

Freshet Method for Wideband Spectrum Sensing

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2016 International Conference on Computer Engineering,Information science and Internet technology(CII 2016)

作者： CHUANDANG LIU LUXI LU JIAN CHENG National Key Laboratory of Science and Technology on Blind Signal Processing

This paper presents a new method for automatic wireless spectrum segmentation. Spectrum segmentation is regarded as the first step to extract signals of interest in wideband spectrum, and it aims to identify the boundaries between sub-band signals. The proposed Freshet Method, based on the Power Spectral Density(PSD) quantization and Connected Components(CC) detection, is designed for a better spectrum segmentation performance. This method is validated on satellite signals, and the testing result shows a better accuracy of the sub-band boundary estimation than the other published methods.

关键词： PSD Matrix Freshet Method for Wideband Spectrum Sensing

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A New Heterogeneous Collaborative Detection Method Based on Time Difference of Arrival and Direction of arrival by the Fuzzy Evidence Theory

A New Heterogeneous Collaborative Detection Method Based on ...

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International Congress on Image and Signal processing, BioMedical Engineering and Informatics

作者： Jiaxu Yu Zhengbo Sun Qing He Huafeng Peng Science and Technology On Blind Signal Processing Laboratory Chengdu China 610041

ISBN: (纸本)9781509037117

A new collaborative detection method of TDOA (Time Difference of Arrival) and DOA ( Direction of arrival) has been proposed for weak signals. The fuzzy evidence theory is used to fuse the peaks of TDOA correlation and the spatial spectrum of MUSIC (Multiple Signal Classification). In the paper, the TODA/DOA collaborative detector is designed, the basic probability assignment fuction (mass fuction or BPA fuction) and the membership fuction are used to express the uncertainty of the TDOA and DOA information. Then the information is fused by the D-S combination formula and the rule of game probability distribution is used to get the detection result. At last, the simulation results show that the performance of the detector is better than the traditional TDOA correlation detector.

关键词： fuzzy evidence theory correlation detection TDOA DOA MUSIC collaborative detection

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