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5th EAI International Conference on 6G for Future Wireless Networks, 6GN 2022

作者： Li, Yuhai Sun, Yuxin He, Dong Xi, Liang Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300300 China School of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9783031360107

With the development of 6G technology, security and privacy have become extremely important in the face of larger network traffic bandwidth. An effective intrusion detection system can deal with the network attacks. Deep learning has been developed in the field of intrusion detection, which can identify normal and abnormal traffic. However, existing methods cannot guarantee good performance in accuracy and efficiency. In this paper, based on the autoencoder and generative adversarial network, the multiresolution autoencoder is adopted in the network traffic feature extraction, which can obtain different encoding lengths and guarantee better data reconstruction. In addition, we add an extra feature matching loss to encourage the discriminator to get more discriminative information from the reconstructed samples. Our experimental results on the CIC-IDS2018 dataset indicates that compared with autoencoder and generative adversarial network, our model can effectively improve the detection accuracy and can be applied to 6G network traffic security detection. © 2023, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Intrusion detection

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OPTIMIZING MULTI-INPUT SCHEDULING FOR FUZZING TEST USING BAYESIAN ALGORITHM WEIGHT OPTIMIZATION 10

OPTIMIZING MULTI-INPUT SCHEDULING FOR FUZZING TEST USING BAY...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Fang, Junzhe Wang, Liyong Ji, Haojie Guo, Teng Hu, Te Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Zaozhuang Network Security Guarantee Center Zaozhuang China

ISBN: (纸本)9781837242672

As a major software testing method, fuzzing has the potential to enhance testing coverage and detect a great number of software vulnerabilities in complex code programs. The current fuzzy testing for multiple input parameters lacks an effective calling mechanism and treats all variant parameter equally, resulting in low efficiency. This paper presents a fuzzy testing method based on Bayesian algorithm for scheduling parameters. Firstly, it combines the characteristics of input parameters to match the appropriate variation strategy. Secondly, it utlizes the Bayesian algorithm to automatically generate weight values for the objective function index during sufficient testing. It evaluates test cases with multi-parameter inputs according to these weights and selects parameters with high utilization value for multiple tests. Finally, in order to evaluate the effectiveness of the method of this paper, an application programming interface of Amercian fuzzy lop (AFL-API) is developed based on the typical fuzzy testing tool AFL++, and compared with AFL++ as a fuzzy testing tool. The experimental results demonstate that when using the AFL-API for program testing, there was 47% increase in coverage rate, 52% increase in the number of discovered crashes, and more program vulnerabilities were identified during actual testing. © The Institution of Engineering & technology 2024.

关键词： Software testing

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Personalized Federated Learning for Heterogeneous Residential Load Forecasting

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Big Data Mining and Analytics 2023年第4期6卷 421-432页

作者： Xiaodong Qu Chengcheng Guan Gang Xie Zhiyi Tian Keshav Sood Chaoli Sun Lei Cui the Shanxi Key Laboratory of Advanced Control and Equipment Intelligence Taiyuan University of Science and TechnologyTaiyuan 030024China the Faculty of Engineering and Information Technology University of Technology SydneyUltimo 2007Australia the Centre for Cyber Security Research and Innovation Deakin UniversityMelbourne 3125Australia the School of Computer Science and Technology Taiyuan University of Science and TechnologyTaiyuan 030024China

Accurate load forecasting is critical for electricity production,transmission,and *** learning(DL)model has replaced other classical models as the most popular prediction ***,the deep prediction model requires users to provide a large amount of private electricity consumption data,which has potential privacy *** nodes can federally train a global model through aggregation using federated learning(FL).As a novel distributed machine learning(ML)technique,it only exchanges model parameters without sharing raw ***,existing forecasting methods based on FL still face challenges from data heterogeneity and privacy ***,we propose a user-level load forecasting system based on personalized federated learning(PFL)to address these *** obtained personalized model outperforms the global model on local ***,we introduce a novel differential privacy(DP)algorithm in the proposed system to provide an additional privacy *** on the principle of generative adversarial network(GAN),the algorithm achieves the balance between privacy and prediction accuracy throughout the *** perform simulation experiments on the real-world dataset and the experimental results show that the proposed system can comply with the requirement for accuracy and privacy in real load forecasting scenarios.

关键词： load forecasting personalized federated learning differential privacy

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SDM-based electronic defense intelligent networking technology 8

SDM-based electronic defense intelligent networking technolo...

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8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Ma, Baoqiang Liu, Tongyu Yong, Zhang Shuai, Jia Dong, Liu Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300308 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

With the increasingly prominent role of high-tech weapons in modern warfare, electronic warfare has also become a topic that has attracted worldwide attention. At present, global electronic warfare is in an important period of transformation and development. In particular, the US military has made substantial progress in electronic warfare in recent years. The development of electronic defense has played a decisive role in future wars[1]. This article introduces the application system architecture and operating mechanism of SDM. At the same time, it introduces the application of plug-and-play SDM software in modern electronic defense system operations, and expounds the role of intelligent command in future electronic warfare. SDM software can realize the plug-and-play of sensor equipment, and it plays a key role in the intelligent network of electronic defense. © 2022 SPIE

关键词： Electronic warfare

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Analysis of pump power distribution in diode pumped Tm:YAP laser 8

Analysis of pump power distribution in diode pumped Tm:YAP l...

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8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Wang, Lixin Xu, Hong Yan, Mengmeng Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300308 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

We analyzed the space overlap of laser transverse modes inside cavity of a Tm:YAP laser and derived the formulae of laser pump power distribution on variable harmonic transverse modes. The method for reducing the influences of high-order transverse mode on laser output beam quality are put forward and validated by experiments, the results can be used in the designing of such lasers. © 2022 SPIE

关键词： Pumping (laser)

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Dim and small targets based on the fusion of infrared radiation characteristics and spectral characteristics research on detection methods 8

Dim and small targets based on the fusion of infrared radiat...

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8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Dong, Liu Yang, Yining Liu, Tongyu Yong, Zhang Hu, Yutong Shuai, Jia Ma, Baoqiang Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300308 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

The geometric and motion characteristics of false targets are more similar to those of real targets. The detection accuracy of traditional infrared radiation characteristics methods for infrared targets is obviously low. For small infrared weak targets with small size and low signal-to-noise ratio, it is difficult to effectively extract shape features by using a single band detection method. Therefore, this paper makes full use of the advantages of infrared single band image and multispectral image target detection methods, and combines single band detection technology and multispectral detection technology, which not only avoids the defect of single band detection missing alarm, but also reduces the impact of large amount of multispectral detection data, and has real-time performance and good detection effect. The hybrid detection algorithm proposed in this paper has stronger adaptability, higher recognition rate and faster processing ability. © 2022 SPIE

关键词： Infrared radiation

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Type-Ⅰ Waveguide and Y-Branch Splitter Fabricated by Femtosecond Laser Direct Writing in X-cut LiNO3 Crystal 4

Type-Ⅰ Waveguide and Y-Branch Splitter Fabricated by Femtos...

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4th International Conference on Optoelectronic science and Materials, ICOSM 2022

作者： Jiang, Xiaorui Liub, Hongliang Yanga, Haibo Chenga, Jingxin Gua, Jianda Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300300 China Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology Institute of Modern Optics Nankai University Tianjin300350 China

ISBN: (纸本)9781510662209

At present, femtosecond laser direct writing (FLDW) with high efficiency, has been a popular method to process all kinds of waveguide in optical functional materials. In this paper, the fabrication of Type-Ⅰ waveguides and Y-branch splitters in pure x-cut LiNO3 (LN) crystal by FLDW has been reported. A guiding cross-section configuration has been produced, resulting from a positive refractive index area along the track induced by FLDW. An end-face coupling system has been used to explore the supported guiding modes at 632.8 nm. Experimental results reveal both TE mode and TM mode are supported in the waveguide, and the total loss of TE mode is larger. For Y-branch splitters, with the splitting angle increasing, the total loss increases rapidly. © 2023 SPIE. All rights reserved.

关键词： Femtosecond lasers

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controllability of neighborhood Corona product networks

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science China(information sciences) 2024年第12期67卷 327-328页

作者： Bo LIU Xuan LI Qiang ZHANG Junjie HUANG Housheng SU Ministry of Education Key Laboratory for Intelligent Analysis and Security Governance of Ethnic Languages School of Information Engineering Minzu University of China School of Mathematical Sciences Inner Mongolia University Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology

controlling networks aims to study the models, structures,and related dynamics of complex networks. The primary problem of controlling networks is to determine whether they are controllable. Nowadays, controllability has been widely studied and applied to system engineering and control theory, power systems, aerospace, and quantum systems. Various classical criteria include the Gram matrix criterion, Kalman rank criterion, and PBH test.

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Pointing error modeling and analysis of an electro-optical reconnaissance system

Pointing error modeling and analysis of an electro-optical r...

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2022 Applied Optics and Photonics China: Infrared Devices and Infrared technology;and Terahertz technology and Applications, AOPC 2022

作者： Chen, Hai-Xia Gao, Wen-Qing China Electronics Technology Group Corp. Science and Technology on Electro-Optical Information Security Control Laboratory Airport Economic Zone Tianjin300308 China

ISBN: (纸本)9781510662247

In the process of guiding the target device, the pointing and guidance accuracy of the on-board electro-optical reconnaissance system is affected by the relative installation position of the equipment, as it can not realize the coaxial installation with the guided device. According to the structural characteristics of the equipment, the mathematical model of target orientation function from the image plane coordinate system of the electro-optical reconnaissance system to the equipment base coordinate system is constructed, the error sources affecting the target pointing accuracy are analyzed, and the target pointing error model is established. The Monte Carlo method is used to analyze the relationship between the pointing error and its error sources. The probability density distribution of each error source is established. The target pointing accuracy performance under the influence of different errors is analyzed. And the sensitive factors affecting the pointing accuracy are figured out, which provides a certain theoretical guidance for the error allocation in the accuracy design stage. © 2023 SPIE.

关键词： Monte Carlo methods

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Study on the Medium Fusion Data Storage technology for High Performance Airborne Sensors 3

Study on the Medium Fusion Data Storage Technology for High ...

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3rd IEEE International Conference on Intelligent technology and Embedded Systems, ICITES 2023

作者： Xie, Dan Tian, Haishan Sun, Yuxin Zhang, Mingru Huang, Yawei Tang, Chang School of Physics and Electronics Hunan Normal University Changsha China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjing China

ISBN: (纸本)9798350343755

The data rate of high-performance airborne sensors is much higher than the wireless data transfer rate in many detection applications, so the onboard data storage systems are usually used to store the sensor data. There is a problem in the onboard data storage that the frequency of address jumps among incontinuous areas is very high due to the high data updating frequency of the FAT (File Allocation Table) and FDT (File Directory Table), which would significantly reduce the data storage speed. This is because the most widely used NAND (Not And) flash has a long response time when storing the data in the incontinuous areas. In order to solve the problem, a called medium fusion storage method, which uses multiple mediums time sharing to store the data of file areas and data region, is proposed in this study. The performance of the proposed method is tested on an actual data storage system of the airborne sensor. The experimental results show that medium fusion storage method significantly reduces the data updating frequency of the FAT and FDT in the data storage, and the response time is negligible compared with the actual data writing time. © 2023 IEEE.

关键词： Data transfer

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