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7th IEEE International Conference on Data science in Cyberspace, DSC 2022

作者： Yan, Qian Huang, Minhuan Cao, Huayang National Key Laboratory of Science and Technology on Information System Security Beijing China

ISBN: (数字)9781665474801

ISBN: (纸本)9781665474801

Security vulnerabilities are a major threat to network security, and fuzzing is one of the most widely used vulnerability mining techniques. Traditional fuzzing consists of three phases, where security experts perform pre-processing manually, then drive the fuzzers to perform testing, and finally manually inspect the test results to uncover and analyse potential flaws in software. In recent years, with the proposal of various semi-automatic and automated techniques, the efficiency of vulnerability mining has increased significantly. However, in the midst of researchers' efforts to improve the efficiency of fuzzing, the role played by humans in this process has gradually been overlooked. Complete fuzzing is a joint human-machine process. In this paper, we review existing work on fuzzing from the perspective of human-machine collaboration, to help researchers understand the role played by humans and the importance of human-machine collaboration in the fuzzing process. First, we introduce the concept of fuzzing and the framework of human-machine collaboration. We then propose to classify fuzzing based on human-machine collaboration into three classifications based on the role of humans in the testing session: human-out-of-the-loop, human-on-the-loop, and human-in-the-loop. Using these classifications, we discuss and summarise the main techniques and methods used in the testing sessions. Finally, we provide future research directions for fuzzing. © 2022 IEEE.

关键词： Network security

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Cloud Resource Integrated Prediction Model Based on Variational Modal Decomposition-Permutation Entropy and LSTM

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Computer systems science & engineering 2023年第11期47卷 2707-2724页

作者： Xinfei Li Xiaolan Xie Yigang Tang Qiang Guo Guangxi Key Laboratory of Embedded Technology and Intelligent System Guilin541006China School of Information Science and Engineering Guilin University of TechnologyGuilin541006China

Predicting the usage of container cloud resources has always been an important and challenging problem in improving the performance of cloud resource *** proposed an integrated prediction method of stacking container cloud resources based on variational modal decomposition(VMD)-Permutation entropy(PE)and long short-term memory(LSTM)neural network to solve the prediction difficulties caused by the non-stationarity and volatility of resource *** variational modal decomposition algorithm decomposes the time series data of cloud resources to obtain intrinsic mode function and residual components,which solves the signal decomposition algorithm’s end-effect and modal confusion *** permutation entropy is used to evaluate the complexity of the intrinsic mode function,and the reconstruction based on similar entropy and low complexity is used to reduce the difficulty of ***,we use the LSTM and stacking fusion models to predict and superimpose;the stacking integration model integrates Gradient boosting regression(GBR),Kernel ridge regression(KRR),and Elastic net regression(ENet)as primary learners,and the secondary learner adopts the kernel ridge regression method with solid generalization *** Amazon public data set experiment shows that compared with Holt-winters,LSTM,and Neuralprophet models,we can see that the optimization range of multiple evaluation indicators is 0.338∼1.913,0.057∼0.940,0.000∼0.017 and 1.038∼8.481 in root means square error(RMSE),mean absolute error(MAE),mean absolute percentage error(MAPE)and variance(VAR),showing its stability and better prediction accuracy.

关键词： Cloud resource prediction variational modal decomposition permutation entropy long and short-term neural network stacking integration

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Mn-based MXene with high lithium-ion storage capacity

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Nano Research 2024年第5期17卷 4181-4191页

作者： Yanyan Wu Dongqing Liu Xiaonan Wang Usman Ghani Muhammad Asim Mushtaq Jinfeng Yang Huarui Sun Panagiotis Tsiakaras Xingke Cai School of Science and Ministry of Industry and Information Technology Key Laboratory of Micro-Nano Optoelectronic Information System Harbin Institute of Technology ShenzhenShenzhen 5180552 China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuan 030006China Institute for Advanced Study Shenzhen UniversityShenzhen 518060China College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China Laboratory of Alternative Energy Conversion Systems Department of Mechanical EngineeringSchool of EngineeringUniversity of ThessalyPedion Areos 38834Greece

3d-transition metal(Fe,Co,Ni,and Mn)-based MXene materials have been predicted to demonstrate exceptional electrochemical performance because of their good electrical conductivity and the presence of metallic atoms with multiple charge ***,until now,there have been no reports on MXenes based on Fe,Co,Ni,and Mn,due to the lack of 3d-metal-layered ***,we successfully synthesized the first 3d-transition metal-based MXenes,Mn_(2)CT_(x) by exfoliating a layered precursor derived from the anti-perovskite bulk *** as-prepared Mn_(2)CT_(x) MXene nanosheets were employed as anode materials in lithium-ion batteries,which exhibited stable storage capacity of 764.7 mAh·g^(-1) at 0.5 C,placing its storage capacities at an upper-middle level compared with other reported MXene materials as well as other Mn-based anode ***,this study opens a new avenue for MXene research by synthesizing 3d-transition metal-based MXenes for electrochemical applications.

关键词： Mn_(3)GaC Mn_(2)CT_(x) MXenes lithium-ion battery anode materials negative fading capacity

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Forest terrain and canopy height estimation using stereo images and spaceborne LiDAR data from GF-7 satellite

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地球空间信息科学学报（英文版） 2024年第3期27卷 811-821页

作者： Liming Du Yong Pang Wenjian Ni Xiaojun Liang Zengyuan Li Juan Suarez Wei Wei Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijingChina Key Laboratory of Forestry Remote Sensing and Information System National Forestry and Grassland AdministrationBeijingChina State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina College of Resources and Environment University of Chinese Academy of SciencesBeijingChina Forest Research Northern Research StationMidlothianUK Institute of Science and Technology Information Yunnan Academy of Forestry and GrasslandKunmingChina

Accurate estimation of forest terrain and canopy height is crucial for timely understanding of forest *** Fen-7(GF-7)Satellite is China's first sub-meter-level three-dimensional(3D)mapping satellite for civilian use,which was equipped with a two-line-array stereo mapping camera and a laser altimeter system that can provide stereo images and full waveform LiDAR data *** of the existing studies have concentrated on evaluating the accu-racy of GF-7 for topographic survey in bare land,but few have in-depth studied its ability to measure forest terrain elevation and canopy *** purpose of this study is to evaluate the potential of GF-7 LiDAR and stereo image for forest terrain and height *** Airborne Laser Scanning(ALS)data were utilized to generate reference terrain and forest vertical *** validation test was conducted in Pu'er City,Yunnan Province of China,and encouraging results have *** GF-7 LiDAR data obtained the accuracy of forest terrain elevation with RMSE of 8.01 m when 21 available laser footprints were used for results verification;meanwhile,when it was used to calculate the forest height,R2 of 0.84 and RMSE of 3.2 m were obtained although only seven effective footprints were used for result *** canopy height values obtained from GF-7 stereo images have also been proven to have high accuracy with the resolution of 20 m x 20 m compared with ALS data(R2=0.88,RMSE=2.98 m).When the results were verified at the forest sub-compartment scale that taking into account the forest types,further higher accuracy(R2=0.96,RMSE=1.23 m)was *** results show that GF-7 has considerable application potential in forest resources monitoring.

关键词： Gao Fen-7(GF-7) spaceborne LiDAR stereo image Airborne Laser Scanning(ALS) forest height Pu'er

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Janus MXene film with gradient structure for highly efficient terahertz and infrared electromagnetic absorption

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Nano Research 2025年第1期18卷 434-442页

作者： Shaodian Yang Weiqiang Huang Zhiqiang Lin Zibo Chen Rongliang Yang Yi Jia Xuebin Liu Rui Wang Zhiping Zeng Yougen Hu Huanjun Chen Xuchun Gui11 State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information TechnologySun Yat-sen UniversityGuangzhou 510275China National Key Laboratory of Materials for Integrated Circuits Shenzhen Institute of Advanced Electronic MaterialsShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China China Academy of Aerospace Science and Innovation Beijing 100176China Guangdong Province Key Laboratory of Display Material and Technology Guangzhou 510275China School of Materials Science and Engineering Sun Yat-sen UniversityGuangzhou 510275China

Electromagnetic interference (EMI) shielding inhigh-frequency range, especially the rapidly growing terahertz(THz) frequency range, attracts increasing attention due tothe potential application of terahertz in 6G wirelesscommunication, and security inspection. However, traditionalconductive EMI films typically achieve high shieldingeffectiveness through strong reflection, which may causesecondary pollution to other devices. Here, a gradientstructure strategy was proposed to constructTi_(3)C_(2)Tx/hydroxypropyl methyl cellulose (HPMC) film, in whichthe content of Ti_(3)C_(2)Tx gradually increases along the thicknessdirection, resulting in different conductivity of the two surfaces(surface-M and surface-H) for the film. The obtained gradientfilmexhibits an EMI shielding efficiency of over 48.5 dB in theTHz range (0.2-1.6 THz) at a thickness of 40 μm. Especially,as the THz waves incident from the surface-H to the film, the absorption effectiveness reaches 48.2 dB (average absorbedpower loss up to 91.4%), and the reflection effectiveness is only 0.3 dB. In additions, the gradient-film also demonstrates ahigh absorption rate of 95.5% in the infrared band (2.5-16.7 μm). Moreover, the gradient-film exhibits an excellent tensilestress and Young’s modulus value of 173.1 MPa and 2.8 GPa, respectively. Therefore, the gradient-film proposed in thiswork, with excellent electromagnetic absorption in both THz and infrared band, provides a promising candidate for the nextgenerationEMI shielding applications.

关键词： electromagnetic interference shielding Janus film terahertz MXene

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Unsupervised Domain Adaptation for Variable-SNR Signal Modulation Recognition 16

Unsupervised Domain Adaptation for Variable-SNR Signal Modul...

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16th International Conference on Signal Processing systems, ICSPS 2024

作者： Bai, Zixi Wang, Qing Yang, Kai Liang, Kun School of Electronic Information and Communications Huazhong University of Science and Technology China National Key Laboratory of Electromagnetic Energy Naval University of Engineering China

ISBN: (纸本)9781510689251

When the source domain and target domain differ in Signal-to-Noise Ratio (SNR), models trained on source data tend to perform poorly on target data. Given a labeled source dataset, unsupervised domain adaptation (UDA) aims to predict the labels of the target domain dataset by aligning the features of the source and target domains. Motivated by UDA, we propose a method that aligns the feature representations of the source and target domains to enable modulation classification under variable SNRs. Our experiments demonstrate that this approach results in a performance improvement of 3.9% to 15.39% compared to a model trained only on the source domain. © 2025 SPIE.

关键词： Signal modulation

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On the Security of Smart Home systems:A Survey

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Journal of Computer science & technology 2023年第2期38卷 228-247页

作者：袁斌万俊吴宇晗邹德清金海 School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Distributed System Security Huazhong University of Science and Technology Wuhan 430074China Hubei Engineering Research Center on Big Data Security Huazhong University of Science and Technology Wuhan 430074China National Engineering Research Center for Big Data Technology and System Huazhong University of Science and TechnologyWuhan 430074China Services Computing Technology and System Lab Huazhong University of Science and TechnologyWuhan 430074China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518057China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China Cluster and Grid Computing Lab Huazhong University of Science and TechnologyWuhan 430074China

Among the plethora of IoT(Internet of Things)applications,the smart home is one of the ***,the rapid development of the smart home has also made smart home systems a target for ***,researchers have made many efforts to investigate and enhance the security of smart home *** a more secure smart home ecosystem,we present a detailed literature review on the security of smart home ***,we categorize smart home systems’security issues into the platform,device,and communication *** exploring the research and specific issues in each of these security areas,we summarize the root causes of the security flaws in today's smart home systems,which include the heterogeneity of internal components of the systems,vendors'customization,the lack of clear responsibility boundaries and the absence of standard security ***,to better understand the security of smart home systems and potentially provide better protection for smart home systems,we propose research directions,including automated vulnerability mining,vigorous security checking,and data-driven security analysis.

关键词： IoT(Internet of Things) smart home IoT security smart home security

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Effect mechanism of diamond content on tribo-chemical processing of sapphire wafers using developed clusters of diamond and ceria chemically agglomerated abrasive cluster

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Ceramics International 2025年第18期51卷 24707-24721页

作者： Wang, Zhankui Huang, Shangci Liu, Kuncheng Zhao, Zhicheng Fan, Yihang Chen, Jiapeng Yao, Yunlong Pang, Minghua Ma, Lijie Su, Jianxiu School of Mechanical and Electrical Engineering Henan Institute of Science and Technology Henan Xinxiang453003 China School of Information Engineering Henan University of Science and Technology Henan Luoyang471000 China Research Center for Advanced Micro-/Nano- Fabrication Materials College of Chemistry and Chemical Engineering Shanghai University of Engineering Science Shanghai201620 China State Key Laboratory for High Performance Tools Zhengzhou Abrasive Grinding Research Institute Co. Ltd Henan 450001 China State Key Laboratory of Silicon and Advanced Semiconductor Materials Zhejiang University Hangzhou310027 China Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology National Key Laboratory of Science and Technology on Helicopter Transmission College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China

To enhance the material removal rate (MRR) and surface quality of sapphire wafers during lapping, this study proposes a new method for preparing chemically agglomerated abrasive clusters (CAAC). Using this method, five distinct CAAC abrasives, each with a different diamond content, were prepared for lapping experiments on sapphire wafers. MRR and surface roughness Ra were used as evaluation indicators to elucidate the removal behavior of CAAC abrasive particles during the lapping of sapphire wafers. The study analyzed changes in the friction curve, the elemental composition of the sapphire surface before and after lapping, and the microscopic morphology of the CAAC abrasives. The results indicate that #4 CAAC demonstrates the highest MRR and favorable surface quality among the tested variants. Specifically, #4 CAAC achieved the highest removal rate of 380.267 nm/min and the lowest surface roughness of 33.978 nm, outperforming #1, #2, #3, and #5 CAAC. Compared to W50 single crystalline diamond (W50 SCD) of equivalent grain size, the MRR increased by a factor of 3.1. Furthermore, within a certain range, the machining performance of CAAC improves with an increase in diamond content;however, both excessively high and low diamond contents negatively impact overall performance. When the diamond content in CAAC reaches 42 %, machinability is optimized. This method enhances the processing efficiency of sapphire wafers, improves surface quality, and offers innovative approaches for efficient and cost-effective sapphire wafer processing. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Chemically agglomerated abrasives cluster Diamond Lapping Sapphire

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Adversarial Attacks and Defenses in Image Classification: A Practical Perspective 7

Adversarial Attacks and Defenses in Image Classification: A ...

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7th International Conference on Image, Vision and Computing, ICIVC 2022

作者： Chen, Yongkang Zhang, Ming Li, Jin Kuang, Xiaohui National Key Laboratory of Science and Technology on Information System Security Beijing China

ISBN: (数字)9781665467346

ISBN: (纸本)9781665467346

The rapid and steady development of machine learning, especially deep learning, has promoted significant progress in the field of image classification. However, Machine learning models are demonstrated to be vulnerable to adversarial examples, which pose serious threats in security-critical applications. This paper summarizes the adversarial attacks and defenses from a practical perspective, facing the field of image classification. We further analyze and evaluate the characteristics and performance of various defense techniques from four aspects: gradient masking, adversarial training, adversarial examples detection and input transformations. We discuss the advantages and disadvantages of different defenses. Finally, the future development trend of defense techniques against adversarial examples is discussed. We hope our study will advance the research in machine learning security. © 2022 IEEE.

关键词： Image classification

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Black-Box Adversarial Attacks on Deep Neural Networks: A Survey 4

Black-Box Adversarial Attacks on Deep Neural Networks: A Sur...

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4th International Conference on Data Intelligence and Security, ICDIS 2022

作者： Wang, Chenxu Zhang, Ming Zhao, Jinjing Kuang, Xiaohui National Key Laboratory of Science and Technology on Information System Security Beijing China

ISBN: (数字)9781665459686

ISBN: (纸本)9781665459686

Deep neural networks are capable of performing many challenging tasks, such as image classification, speech recognition and game playing. However, recent research shows that deep neural networks can be tricked by adversarial attacks, which craft adversarial examples by adding subtle perturbations to the clean examples. Adversarial attacks can be broadly divided into white-box attacks and black-box attacks. This paper presents a comprehensive survey on black-box attacks. The black-box attacks are divided into three categories: transfer-based attacks, score-based attacks and decision-based attacks. We also introduce some existing defenses against black-box attacks. © 2022 IEEE.

关键词： Deep neural networks

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