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Annual Conference of Industrial Electronics Society

作者： Jinyin Chen Shenghuan Miao Haibin Zheng Shilian Zheng College of Information Engineering Zhejiang University of Technology Hangzhou China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (数字)9781728154145

ISBN: (纸本)9781728154152

Signal modulation recognition plays a critical role in many fields to identify the modulation type of wireless signals. Since the deep learning based models have achieved great success in classification tasks, more deep neural networks are proposed for signal modulation recognition. In this paper, we explore the use of different deep neural networks in both macro network architecture level and micro cell size and layer level to compare and understand their effect on classification performance. We also bring up a feature explainable deep neural network by visualizing the critical features in the deep neural models. We visually show and compare the commonality and differences of hidden layer characteristics extracted by different network structure to explain and analyze the reason why some models can achieve better classification results than the others. We believe it is an effective way to explain how deep neural model based signal classification work. Thus the explanation will help users establish appropriate understand and trust in predictions from deep modulation recognition networks.

关键词： Feature extraction Modulation Computer architecture Computational modeling Visualization Convolution Signal to noise ratio

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An Intrusion Prevention Scheme for Malicious Network Traffic Based on SDN

An Intrusion Prevention Scheme for Malicious Network Traffic...

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作者： Xiaofeng Xu Jiahao Dai Yifang Zhi Science and Technology on Communication Information Security Control Laboratory China Electronic Group Corporation NO.36 Institute Xidian University

In recent years,SDN technology has developed rapidly,and the security of SDN is the key to its further development and *** prevention system possesses both the features of intrusion detection and protection,which is one of the important methods to ensure the security of SDN *** this paper,we proposed a SDN-based intrusion prevention scheme for SDN *** scheme utilizes the programmability of SDN to create four modules on the application plane of the controller,including the network monitoring module,IP address detection module,destructive packets detection and Snort linkage *** scheme also provides users with Web UI and manual/automatic operation ***,we deployed the scheme on the Mininet platform with the Floodlight controller.

关键词： Snort An Intrusion Prevention Scheme for Malicious Network Traffic Based on SDN

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An Indoor Wi-Fi Positioning Approach optimized by Virtual Node

An Indoor Wi-Fi Positioning Approach optimized by Virtual No...

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International Conference on Computers, communications, and Systems (ICCCS)

作者： Jie-tai Wang Xiao-niu Yang Zhen-xing Luo School of Mathematics and Information Engineering Jiaxing University Jiaxing China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (数字)9781728161365

ISBN: (纸本)9781728161372

In the indoor positioning application based on the Wi-Fi range-based positioning algorithm, on the one hand, due to the characteristics of the wireless propagation model, the final position of the node calculated by the range-based positioning algorithm will have a certain error, on the other hand, due to the complexity of the wireless AP deployment, it will cause some regional deployments may not meet the requirements of trilateral positioning. In response to these problems, this paper proposed an optimized Wi-Fi positioning algorithm based on virtual node optimization. On the one hand, a wireless AP with a known physical location is used as a virtual positioning node to correct the positioning results; on the other hand, a virtual AP mechanism is designed to compensate for this. Due to the problem of positioning blind spots caused by AP deployment defects, the accuracy of the Wi-Fi range-based positioning algorithm is greatly improved, and the effectiveness of the algorithm is verified through simulation verification and actual site operation tests.

关键词： Wireless communication Wireless fidelity Fingerprint recognition Distance measurement Meters Floors communication system security

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Research on the Construction of a Novel Cyberspace security Ecosystem

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Engineering 2018年第1期4卷 47-52页

作者： Xiao-Niu Yang Wei Wang Xiao-Feng Xu Guo-Rong Pang Chun-Lei Zhang Science and Technology on Communication Information Security Control Laboratory Jiaxing Zhejiang 314033 China Science and Technology on Electro-Optical Information Security Control Laboratory Tianfin 300300 China

Given the challenges facing the cyberspace of the nation, this paper presents the tripartite theory of cyberspace, based on the status quo of cyberspace. Corresponding strategies and a research architecture are proposed for common public networks （C space）, secure classified networks （S space）, and key infras- tructure networks （K space）, based on their individual characteristics. The features and security require- ments of these networks are then discussed. Taking C space as an example, we introduce the SMCRC （which stands for ＂situation awareness, monitoring and management, cooperative defense, response and recovery, and countermeasures and traceback＂） loop for constructing a cyberspace security ecosys- tem. Following a discussion on its characteristics and information exchange, our analysis focuses on the critical technologies of the SMCRC loop. To obtain more insight into national cyberspace security, special attention should be paid to global sensing and precise mapping, continuous detection and active manage- ment, cross-domain cooperation and systematic defense, autonomous response and rapid processing, and accurate traceback and countermeasure deterrence.

关键词： Cyberspace security ecosystem SMCRC loop Tripartite theory of cyberspace

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International Conference on Computer and communications (ICCC)

作者： Yifan Xie Wenan Zhou Huamiao Hu Zhicheng Lu Mengyuan Wu School of Computer Science Beijing University of Posts and Telecommunications Beijing China Science and Technology on Communication Information Security Control Laboratory Beijing China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

Code similarity detection is one of the important means to maintain the healthy development of the software eco-environment. Early code similarity detection method is mainly based on the code attribute measurement technology, this method can quickly detect more obvious similar parts on small-scale code datasets, but when faced with large-scale datasets or code segments with similar syntax and semantics, the detection performance is not effective. The new code similarity detection technology based on tree-structure representation and machine learning can adapt to different data changes, thus providing new solutions. This paper proposes a new detection method that combines the abstract syntax tree (AST) structure and unsupervised clustering, this new method can improve the detection efficiency of code clustering analysis, because it not only considers the syntax and semantic information of the code, but also reduces the workload of code data preprocessing through unsupervised clustering.

关键词： Clustering methods Semantics Clustering algorithms Machine learning Syntactics Tools Benchmark testing

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Bitstream Protocol Classification Mechanism Based on Feature Extraction

Bitstream Protocol Classification Mechanism Based on Feature...

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International Conference on Networking and Network Applications (NaNA)

作者： Wei Wang Binbin Bai Yichuan Wang Xinhong Hei Li Zhang Science and Technology on communication Information Security control Laboratory No.36 Research Institution of CETC College of Computer Science and Engineering Xi'an University of Technology Xi'an China

ISBN: (数字)9781728126296

ISBN: (纸本)9781728126302

In recent years, with the continuous expansion of network communication scale, the types of niche protocols and various proprietary communication protocols are increasing day by day, but botnet and various network attacks have also emerged in endlessly. However, most of the commonly used network protocol recognition software uses a single method, and can only identify specific network data packets or data streams, the degree of automation is low, and the recognition accuracy is not high. In view of the above situation, this paper takes the bit flow protocol data frame as the research object, takes the multi-protocol recognition as the goal, and carries on the protocol feature recognition by comparing the data flow characteristics and the evaluation index. The features of the protocol to be detected are compared with the existing protocol features of the feature base, and the similarity between each protocol is judged. The extracted composite features are digitalized to generate 0-1 matrix, and clustering analysis is completed. The frame vector quantification algorithm of message data is designed and implemented to improve the clustering efficiency. The experimental results show that, compared with the traditional algorithm, the protocol eigenvector algorithm improves the accuracy by 15%, which can make the unknown protocol format be generated faster.

关键词： Protocols security Feature extraction communication networks Syntactics Semantics Clustering algorithms

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SAR Image Processing and Target Detection Based on 2D Singularity Power Spectrum in Time-frequency Domain

SAR Image Processing and Target Detection Based on 2D Singul...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Junye Li Gang Xiong Baigang Huang School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (数字)9781728168968

ISBN: (纸本)9781728168975

A method for SAR image processing and target detection based on two-dimensional singularity power spectrum (2D-SPS) in time-frequency domain is proposed in this paper. Firstly, the two-dimensional pseudo Wigner-Ville distribution (2D-PWVD) is carried out on the SAR image. Then, the two-dimensional singularity power spectrum estimation is performed on the local delay components of 2D-PWVD to obtain the three-dimensional singularity power spectral SAR (SPS-SAR) functions. Furthermore, a novel SAR target detection method based on SPS-SAR is introduced. The proposed methodology is tested on SAR images, both with and without weak targets, from the OpenSAR dataset. Experiment results show that the proposed method performs better than traditional method based on fractal theory, and can achieve higher detection probability in the complex scene with low SNR. It can provide more details for SAR image analysis and offer a new idea for SAR target detection.

关键词： Time-frequency analysis Two dimensional displays Object detection Radar polarimetry Fractals Spectral analysis Signal to noise ratio

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Mobile communication Signal Selection Algorithm for Signal of Opportunity Navigation

Mobile Communication Signal Selection Algorithm for Signal o...

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International Conference on Advanced communication technology (ICACT)

作者： Huijie Zhu Wei Xu Yalou Sang Zhiqiang Yao Limei Liu Moses C. Okonkw Science and Technology on Communication Information Security Control Laboratory Jiaxing Zhejiang China Changsha Technology Research Institute of Beidou Industry Safety Changsha Hunan China People's Liberation Army of China PLA92126 Fuzhou Fujian China School of Automation and Electronic Information Xiangtan University Xiangtan Hunan China

ISBN: (数字)9791188428069

ISBN: (纸本)9781665447027

At present, the satellite navigation and positioning system can provide a high precision positioning service to end users in outdoor environments. But in urban canyons, high-rise buildings, urban tunnels, tree canopy covered areas, and other environments with weak signal such as military base and other special places with signal disturbance or spoofery, effective positioning or positioning results cannot to be trusted. Hence, it is very important and meaningful to use the existing radio signals (“signal of opportunity”) in the environment for positioning. Among the existing types of signals, mobile communication signals have more obvious characteristics for signal of opportunity navigation and thus has received more attention. This paper aims to solve the problem of signal selection in the application of mobile communication signals to navigation and positioning. This done by using characteristics such as signal carrier frequency, received signal strength and geometric position distribution to model, evaluate and systematically analyze the influence of each factor on positioning performance. Finally, based on a comprehensive evaluation method, a signal selection algorithm is designed while putting the signal type, signal carrier frequency, received signal strength, geometric position of the signal source and other factors into consideration. GSM and LTE signals are used in an actual environment to analyze, verify and extract the parameters required for the selection algorithm, also a comparative verification analysis was carried out with cluster and sub-optimal selection algorithm. The positioning accuracy of the proposed model proves both the reliability and the effectiveness of the proposed algorithm for comprehensive evaluation of signal source selection.

关键词： Analytical models Software algorithms Clustering algorithms Radio navigation Vegetation Mobile communication Software

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Distributed Blanket Jamming Resource Scheduling for Satellite Navigation Based on Particle Swarm Optimization and Genetic Algorithm

Distributed Blanket Jamming Resource Scheduling for Satellit...

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International Conference on communication technology (ICCT)

作者： Zhaoyi Luo Min Deng Zhiqiang Yao Xiaofan Leng Yongqi Chen Science and Technology on Communication Information Security Control Laboratory Jiaxing China Xiangtan University Xiangtan China Navigation and Remote Sensing Research Xiangtan University’s Centre for Intelligent Xiangtan China Security Control Laboratory Science and Technology on Communication Information Jiaxing China Changsha Technology Research Institute of Beidou Industry Safety Changsha China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

Jamming technology for satellite navigation has been widely used in some fields. The distributed jamming system contains a large number of jamming sources. How to schedule the limited resources efficiently to fully utilize their operational effectiveness is important in distributed jamming for satellite navigation. Most of the existing studies about jamming for satellite navigation only pay attention to the jamming benefits, ignoring the jamming cost. We introduce the concept of jamming cost for satellite navigation. Firstly, we propose a method to evaluate jamming benefit for satellite navigation based on the principle of navigation signal processing of the receiver. Secondly, we analyze the overall benefit and cost of jamming resource scheduling countermeasures in two different scenarios for satellite navigation. Then we establish two multi-constrained resource scheduling model that maximizes jamming benefit and minimizes jamming cost. The particle swarm optimization (PSO) and the genetic algorithm (GA) are applied to solve the problem. Simulation results show that the performance of GA and PSO is better than traditional Simulated Annealing (SA) in two different scenarios. In both "one-to-one" and "many-to-one" scenarios, the GA can achieve better objective value but with a little longer time than the SA. While the PSO finds a little better objective value with shorter time than the SA. In conclusion, the GA is not easier to fall into local optimal solution. And the solution speed of the PSO is faster than the SA.

关键词： Jamming Satellite navigation systems Satellites Genetic algorithms Job shop scheduling Resource management Indexes

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Data Link Modeling and Simulation Based on DEVS 19

Data Link Modeling and Simulation Based on DEVS

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Proceedings of the 2019 2nd International Conference on Signal Processing and Machine Learning

作者： Zhenxing Luo Lulu Zhao Wanyong Tian Dan Yang Yiyuan Chen Jiabin Yu Jianjun Li Science and Technology on Communication Information Security Control Laboratory Jiaxing China CETC Key Laboratory of Data Link Technology Xi'An China Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781450372213

The Discrete Event System (DEVS)[1] Specification provides a reference standard for the model design and simulation development of complex discrete event state system. It designs a formal mechanism to describe discrete event state, which is composed of a set of strictly abstract mathematical symbols, and provides a strict description mechanism and execution logic for the modeling and Simulation of discrete event state system, it ensures the normalization, reusability and simulation operation ability of the model. As a special link system, Data Link[2] is different from general communication system. It is mainly used between different military platforms to ensure information sharing. By linking sensors, command and control system and weapon platform according to the specified message format and communication protocol, the information system that can automatically transmit the formatted data of battlefield situation, command and guidance, tactical coordination, weapon control, etc., in real time can form a close and efficient tactical link relationship between different combat platforms. In this paper, DEVS is used to simulate the Reporting Responsibility for Air, Surface, and Land tracks in MIL-STD-6016B.

关键词： DEVS Data Link ADEVS Modeling and Simulation

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