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APU-D* Lite: Attack Planning under Uncertainty Based on D* Lite

Computers, Materials & Continua 2020年第11期65卷 1795-1807页

作者： Tairan Hu Tianyang Zhou Yichao Zang Qingxian Wang Hang Li State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001China School of Electrical Engineering and Telecommunications UNSW KensingtonNSW 2033Australia

With serious cybersecurity situations and frequent network attacks,the demands for automated pentests continue to increase,and the key issue lies in attack *** the limited viewpoint of the attacker,attack planning under uncertainty is more suitable and practical for pentesting than is the traditional planning approach,but it also poses some *** address the efficiency problem in uncertainty planning,we propose the APU-D*Lite algorithm in this ***,the pentest framework is mapped to the planning problem with the Planning Domain Definition Language(PDDL).Next,we develop the pentest information graph to organize network information and assess relevant exploitation actions,which helps to simplify the problem ***,the APU-D*Lite algorithm is introduced based on the idea of incremental heuristic *** method plans for both hosts and actions,which meets the requirements of *** the pentest information graph as the input,the output is an alternating host and action *** experiments,we use the attack success rate to represent the uncertainty level of the *** result shows that APU-D*Lite displays better reliability and efficiency than classical planning algorithms at different attack success rates.

关键词： Attack planning under uncertainty automated pentest APU-D*Lite algorithm incremental heuristic search

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2020 International Conference on Computer Vision, Image and Deep Learning, CVIDL 2020

作者： Sun, Wenjie Shan, Zheng Liu, Fudong Qiao, Meng Gui, Hairen Li, Xingwei State Key Laboratory of Mathematical Engineering and Advanced Computing China

ISBN: (数字)9781728194813

ISBN: (纸本)9781728194813

Graph matching has a wide range of applications. However, graph matching faces two challenges: high computational complexity and loss information of graph embedded. In order to solve these two problems and correctly identify the similarity between two function control flow graphs, we propose a binary function similarity comparison method based on Graph Mover's Distance. The model takes two graphs as input, and first learns the spatial structure of the nodes in the graph based on the graph attention neural network to form the node embedding. Then we use the sum of the distance between the two sets of node embeddings to represent the distance between the graphs as the graph similarity index. We conduct experiments on the control flow graph of the program and prove the effectiveness of the method. © 2020 IEEE.

关键词： Embeddings

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A solvent-free process enabling ZnO/porous carbon with enhanced microwave absorption

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Journal of Materials Science & Technology 2023年第18期149卷 255-264页

作者： Qi Chen Xing Liu Tingting Wang Xiaogang Su Meng Liu Somboon Chaemchuen Francis Verpoort State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China School of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China School of Mathematical&Physical Sciences Wuhan Textile UniversityWuhan 430200China National Research Tomsk Polytechnic University Lenin Avenue 30634050 TomskRussian Federation School of Materials Science and Engineering North University of ChinaTaiyuan 030051China

Exploring a simple,rapid,solvent-free synthetic method for mass production of cheap,broadband mi-crowave absorbers remains the main ***,a mild solvent-free procedure is reported to syn-thesize zinc oxide nanoparticles(ZnO NPs)embedded in porous carbon derived from mixing sucrose and zinc nitrate *** characteristic morphology and the ZnO NPs distribution in these compos-ites were tuned using the different raw materials *** mesoporous structure of porous car-bon benefits the compositional advantages between carbon foam and ZnO *** optimal synthesized ZnO/C-2 carbon material demonstrates the strongest absorption of-41.7 dB with a frequency of 14.5 GHz at a thin thickness of 2 mm,and its widest effective absorption is close to 6 GHz(12.2-17.8 GHz).This work produces a feasible route for the sensible design of other effective microwave absorbers for large-scale production.

关键词： Solvent-free method Porous carbon Dielectric materials Interfacial polarization Microwave broadband absorption

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Study on Binary Code Evolution with Concrete Semantic Analysis 7th

Study on Binary Code Evolution with Concrete Semantic Analys...

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7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021

作者： Xia, Bing Pang, Jianmin Wang, Jun Liu, Fudong Yue, Feng Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450007 China ZhongYuan University of Technology Zhengzhou450007 China

ISBN: (纸本)9789811659423

The study on binary code evolution is very crucial for understanding vulnerability repair and malicious code variants. Researchers on code evolution focus on the source code level, whereas very few works have been done to tackle this problem at the binary code level. In this paper, a binary code evolution analysis framework is proposed to automatically locate evolution area and identify evolution semantic with concrete semantic difference. Difference of binary function domain was applied based on function similarity. Trace alignment was used to find evolution blocks, instruction classification semantic was utilized to identify evolution operation, and evolution semantic was extracted combined with function domain elements. The experimental results show that binary code evolution analysis framework can correctly locate binary code evolution area and identify all concrete semantic evolution. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Semantics

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Effect of thickness variations of lithium niobate on insulator waveguide on the frequency spectrum of spontaneous parametric down-conversion

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Chinese Physics B 2021年第11期30卷 268-273页

作者： Guang-Tai Xue Xiao-Hui Tian Chi Zhang Zhenda Xie Ping Xu Yan-Xiao Gong Shi-Ning Zhu National Laboratory of Solid State Microstructures School of PhysicsSchool of Electronic Science and EngineeringCollege of Engineering and Applied Sciencesand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093China Institute for Quantum Information and State Key Laboratory of High Performance Computing College of ComputingNational University of Defense TechnologyChangsha 410073China

We study the effect of waveguide thickness variations on the frequency spectrum of spontaneous parametric downconversion in the periodically-poled lithium niobate on insulator(LNOI)*** analyze several variation models and our simulation results show that thickness variations in several nanometers can induce distinct effects on the central peak of the spectrum,such as narrowing,broadening,and *** also prove that the effects of positive and negative variations can be canceled and thus lead to a variation-robust feature and an ultra-broad *** study may promote the development of on-chip photon sources in the LNOI platform,as well as opens up a way to engineer photon frequency state.

关键词： lithium niobate on insulator spontaneous parametric down-conversion waveguide thickness variation frequency spectrum

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Feature Rotation Invariance Learning for Point Cloud Analysis 10

Feature Rotation Invariance Learning for Point Cloud Analysi...

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10th IEEE Smart World Congress, SWC 2024

作者： Shi, Lu Cao, Qi Zhang, Guoqing Yi, Jin Huang, Yansen Cen, Yigang Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation The School of Computer Science and Technology Visual Intellgence +X International Cooperation Joint Laboratory of Moe Beijing100044 China University of Glasgow The School of Computing Science 567739 Singapore Beijing Jiaotong University With the Key Laboratory of Big Data & Artificial Intelligence in Transportation Ministry of Education The State Key Laboratory of Advanced Rail Autonomous Operation The School of Computer and Information Technology Beijing100044 China Guizhou University Guizhou Lianjian Civil Engineering Quality Testing Monitoring Center Co. Ltd The College of Civil Engineering Guizhou550025 China

ISBN: (纸本)9798331520861

While deep learning has significantly advanced point cloud analysis, extracting effective features from their disordered structure remains challenging. Existing approaches often rely on complex network architectures or manual feature engineering to achieve rotation invariance, which increases inference latency. This paper offers a novel perspective on this challenge, showing that rotation-sensitive models can achieve performance comparable to rotation-invariant models when trained with rotation-augmented data. Given the significant differences in the feature distributions of rotation-sensitive and rotation-invariant models, we propose Feature Rotation Invariance Learning (FRIL), a framework that leverages Distance Metric Learning and rotation-based constraints to help rotation-sensitive models extract rotation-invariant features. This approach eliminates the need for additional modules, enabling robust performance against rotations. Extensive experiments demonstrate that FRIL consistently outperforms existing rotation-invariant methods across various visual tasks. © 2024 IEEE.

关键词： Contrastive Learning

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Association Analysis of User Promiscuous Traffic Based on Convolutional Neural Network 4

Association Analysis of User Promiscuous Traffic Based on Co...

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4th IEEE advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021

作者： Li, Yonglin Liu, Yan Zhengzhou University Zhong Yuan Network Security Research Institute Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781728185347

Analyzing user behavior from promiscuous network traffic, digging out user characteristics, and analyzing user behavior patterns are the main purposes of user association analysis. Existing methods start from the traffic generated by users and manually select the features that need to be extracted with the help of expert knowledge, the effect of the model depends to a certain extent on the quality of the selected features. This paper proposes a convolutional neural network-based user promiscuous traffic association analysis method Convolutional Neural Networks Based Association Analysis (CNNBAA). First, the traffic generated by users surfing the internet is preprocessed, such as segmentation, anonymization, and an interception, and then mapped into RGB map as the input data of Convolutional Neural Networks (CNN), and then use Residual Networks (ResNet) train the generated images to obtain a network model that can independently learn the characteristics of user online behavior. This method does not require manual selection of features and uses a convolutional neural network to learn features autonomously. We collected the network traffic in the true environment, constructed the experimental data set, and obtained the best traffic segmentation method and the best image conversion resolution through experiments. The experimental results show that the accuracy of the model is above 88%, which achieves the expected effect. © 2021 IEEE.

关键词： Convolutional neural networks

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Computation Offloading for Multi-user Sequential Tasks in Heterogeneous Mobile Edge computing 17th

Computation Offloading for Multi-user Sequential Tasks in He...

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17th EAI International Conference on Collaborative computing: Networking, Applications, and Worksharing, CollaborateCom 2021

作者： Xu, Huanhuan Zhou, Jingya Gu, Fei School of Computer Science and Technology Soochow University Suzhou215006 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi214125 China

ISBN: (纸本)9783030926342

Currently, many computation offloading studies in Mobile Edge computing (MEC) mainly focus on the multi-user and multi-task offloading, where the tasks are independent and inseparable. However, nowadays many mobile applications, such as Augmented Reality (AR) glasses, face recognition, etc., can be classified into sequential tasks. Dependencies among tasks and resource competition among multiple users in the heterogeneous edge environment make the offloading problem very challenging. In this paper, we propose a new multi-user sequential task (MUST) framework to address the above challenge. Specifically, we present a comprehensive analysis of the time cost of the task offloading process in the MUST framework and define the multi-user sequential task offloading problem. Moreover, we prove the problem is NP-hard and propose a reMUST algorithm based on regular expression to obtain the approximate optimal solution. Numerous experiments have shown that the proposed method is superior to existing alternatives in terms of cost and system scalability. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： computation offloading

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Nonautonomous Breather and Rogue Wave in Spinor Bose–Einstein Condensates with Space-Time Modulated Potentials

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Chinese Physics Letters 2023年第4期40卷 6-10页

作者：丁崔崔周勤徐四六 Houria Triki Mohammad Mirzazadeh 刘文军 Research Group of Nonlinear Optical Science and Technology School of Mathematical and Physical SciencesWuhan Textile UniversityWuhan 430200China State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile UniversityWuhan 430200China School of Biomedical Engineering and Medical Imaging Xianning Medical CollegeHubei University of Science and TechnologyXianning 437100China Radiation Physics Laboratory Department of PhysicsFaculty of SciencesBadji Mokhtar UniversityP.O.Box 1223000 AnnabaAlgeria Department of Engineering Sciences Faculty of Technology and EngineeringEast of GuilanUniversity of GuilanRudsar-VajargahIran State Key Laboratory of Information Photonics and Optical Communications School of ScienceBeijing University of Posts and TelecommunicationsBeijing 100876China

To study controlled evolution of nonautonomous matter-wave breathers and rogue waves in spinor Bose–Einstein condensates with spatiotemporal modulation,we focus on a system of three coupled Gross–Pitaevskii equations with spacetime-dependent external potentials and temporally modulated gain-loss *** different external potentials and gain-loss distributions,various solutions for controlled nonautonomous matterwave breathers and rogue waves are derived by the Darboux transformation method,such as breathers and rogue waves on arched and constant backgrounds which have the periodic and parabolic *** of the gain-loss distribution and linear potential on the breathers and rogue waves are *** two-breathers on the arched and constant backgrounds are also derived.

关键词： Einstein Nonautonomous parabolic

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A Decision Tree Based on Differential Privacy 5

A Decision Tree Based on Differential Privacy

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5th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021

作者： Sun, Daozhu Li, Nan Yang, Shudan Du, Qiming Information Engineering University Department of Cyberspace Security Academy Henan Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan Harbin China

ISBN: (纸本)9781665415989

In the era of big data, personal privacy leakage has become a hidden danger for social development. As an output privacy protection model, differential privacy can effectively quantify and limit personal privacy disclosure. Combining differential privacy with decision tree algorithm, a decision tree algorithm is proposed to meet differential privacy protection. The algorithm uses exponential mechanism to select split nodes and Laplace mechanism to add noise to leaf nodes. When allocating the privacy budget, the correlation and quantity of the data set are fully considered, which saves the privacy budget and realizes the dynamic change of the privacy budget with the change of the size of the data set. The experimental result on Adult data set display algorithm effectively improves the accuracy of classification result prediction under the premise of privacy protection. © 2021 IEEE.

关键词： Decision trees

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