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Threshold Huffman-Based Covert Timing Channel Detection

International Journal of Network Security 2025年第1期27卷 61-71页

作者： Lin, Yuwei Chen, Yonghong Zhuang, Xiaolong huang, xuwen School of Computer Science and Technology Huaqiao University Fujian Xiamen361000 China Xiamen Key Laboratory of Data Security and Blockchain Technology Huaqiao University Fujian Xiamen361000 China

Network covert timing channels in computer networks evade effective detection by traditional security mechanisms such as firewalls, posing a significant threat to network security. However, most existing methods struggle to detect such channels when the window size is small. Additionally, the emergence of the new ϵ-κlibur channel has resulted in a decline in performance for detection methods such as GAS, SnapCatch, and DNN when detecting this particular channel. In this paper, we investigate a Huffman tree-based approach for detecting anomalous nodes in traffic and achieving the classification of channels through the design of weight intervals. Our method achieves an average detection rate of over 95% for each channel. Additionally, compared to GAS, SnapCatch, and DNN, our method improves the detection rates for the ϵ-κlibur channel by 11.75%, 8.46%, and 4.81%, respectively. The experimental results demonstrate that our proposed approach successfully detects ϵ-κlibur and achieves detection in a small window. © (2025), (Femto Technique Co., Ltd.). All rights reserved.

关键词： Computer system firewalls

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高质量推进中越跨境产业链合作:现状、挑战与对策研究

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东南亚纵横 2025年第1期 72-85页

作者：黄旭文广西社会科学院越南研究所广西南宁530022

随着全球经济一体化进程的推进,跨境产业链合作在中越两国经济发展中发挥着日益重要的作用。作为中国—东盟自由贸易区、《区域全面经济伙伴关系协定》(RCEP)和共建“一带一路”倡议下的重要合作伙伴,中越两国在产业合作、贸易往来和技... 详细信息

随着全球经济一体化进程的推进,跨境产业链合作在中越两国经济发展中发挥着日益重要的作用。作为中国—东盟自由贸易区、《区域全面经济伙伴关系协定》(RCEP)和共建“一带一路”倡议下的重要合作伙伴,中越两国在产业合作、贸易往来和技术转移等领域的协同发展逐步深化。特别是在制造业、绿色经济和数字经济等领域,中越合作展现出广泛的互补性和潜力。然而,在全球供应链重构、国际市场不确定性加剧,以及两国政策协调难度增加的背景下,中越跨境产业链合作面临诸多挑战。文章通过梳理中越跨境产业链的现状,系统分析两国在产业协同、技术创新及市场整合等方面的成效,并探讨合作中的瓶颈与挑战,在此基础上,进一步提出优化政策协调、加强技术创新、提升基础设施建设、加强国际合作及跨境人才培养等对策建议。

关键词：中越跨境产业链合作现状挑战对策建议

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CircFBLN2 regulates duck myoblast proliferation and differentiation through miR-22-5p and MEF2C interaction

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POULTRY SCIENCE 2025年第5期104卷 105063页

作者： Liu, Shuibing Wu, Jintao Jiang, Hongxia Zhou, Ya'nan huang, xuwen Wang, Yuxiang Xie, Zhanbin Liao, Zurong Ding, Zhenxvan Liu, Jing Hu, Xiaolong Mao, Huirong Liu, Sanfeng Chen, Biao Jiangxi Agr Univ Coll Anim Sci & Technol Nanchang 330045 Jiangxi Peoples R China South China Agr Univ Coll Anim Sci Guangzhou 510642 Guangdong Peoples R China Jiangxi Agr Univ Poultry Inst Nanchang 330045 Peoples R China

The growth and development of duck skeletal muscle significantly affect duck meat production, making it essential to understand the molecular mechanisms underlying these processes. Circular RNAs (circRNAs) and microRNAs (miRNAs) are identified in many species and play essential roles in the regulation of myogenic processes;however, research on circRNAs and miRNAs involved in the duck skeletal muscle development is limited. In prior whole-transcriptome RNA sequencing study, we identified differential expression of miR-22-5p and the novel circular RNA circFBLN2, which arises from the second exon of the FBLN2 gene, in duck primary myoblasts (DPMs). In this study, we confirmed the circular structure of circFBLN2 and explored its expression patterns and functional implications in myogenesis. To elucidate the function of circFBLN2 in the myogenic processes of duck, we conducted experiments involving both the silencing and overexpression of circFBLN2 in DPMs. Our findings indicated that circFBLN2 inhibits DPM proliferation while promoting their differentiation. Conversely, when miR-22-5p was silenced and overexpressed, it exhibited opposing effects by promoting the proliferation of DPMs and inhibiting their differentiation. These results suggest a complex dynamic interplay between circFBLN2 and miR-22-5p in the regulation of DPMs proliferation and differentiation. Additionally, our results revealed that both circFBLN2 and myocyte enhancer factor 2 C (MEF2C) act as sponges for miR-22-5p, as demonstrated by binding predictions and dual-luciferase reporter assays. These results offer novel perspectives on the regulatory pathways underlying the duck embryonic skeletal muscle development, underscoring the pivotal function of circFBLN2 in the regulation of miR-22-5p expression. This research deepens our comprehension of the molecular underpinnings of avian myogenesis, potentially paving the way for more effective approaches to bolster growth and development of livestock.

关键词： Duck skeletal muscle circFBLN2 miR-22-5p MEF2C

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A novel topology family of single-stage parallel mode uninterruptible AC/DC converter with PFC

A novel topology family of single-stage parallel mode uninte...

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CES/IEEE 5th International Power Electronics and Motion Control Conference

作者： Ma, Xuejun Wu, Hongxia huang, Congsheng huang, xuwen Huangshi Inst Technol Dept Elect Engn Huangshi 435003 Peoples R China

ISBN: (纸本)1424404487

A circuit topologies family of single-stage parallel uninterruptible AC/DC converter with high power factor are presented. The topology includes four sections, i.e. full bridge rectifier, parallel converter with power factor correction(PFC), uninterruptible power supply and fast output voltage regulation. The converter has lots of advantages such as: single stage power conversion, uninterruptible power supply, high power factor, electrical isolation between battery and AC input, fast regulation speed of the output voltage. The operational modes, control principle, and design method of key parameters are proposed. A prototype of 1kW is designed. The performance of the proposed scheme is verified through the experimental result.

关键词： AC/DC converter UPS PFC single-stage parallel mode

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ConTra: A Covert Timing Channel Detection Approach for Little Covert Information in a Network 23

ConTra: A Covert Timing Channel Detection Approach for Littl...

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4th International Conference on Computing, Networks and Internet of Things, CNIOT 2023

作者： Li, Zhiqiang Chen, Yonghong Teng, Zhan huang, xuwen School of Computer Science and Technology Huaqiao University Xiamen Fujian China Xiamen Key Laboratory of Data Security and Blockchain Technology Huaqiao University Xiamen Fujian China

ISBN: (纸本)9798400700705

A covert timing channel is a technical means that enables information hiding and covert communication. Due to the fact that covert timing channels can elude detection by security defence measures, they offer a substantial security risk to the information of Internet users when they are exploited for illicit reasons. The attacker sends at a low rate to ensure the stealthiness of the covert timing channel communication process, making the number of inter-arrival time encoded as covert information much less than the normal number of inter-arrival time, resulting in the low detection accuracy of existing detection methods. In this paper, we propose a covert timing channel detection method based on one-dimensional convolution and self-attention mechanism. The method begins with local feature extraction of the input inter-arrival time sequence by a one-dimensional convolutional layer, then characterizes the correlation between each inter-arrival time by a self-attention mechanism in the encoder, and finally through the full connection layer to produce the type output. In this study, experimental results on a public dataset and 16 self-built datasets demonstrate that the detection method delivers optimal detection results and efficient detection of covert information in low-volume communications. © 2023 ACM.

关键词： Optimal detection

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Fuzzy Multilevel Image Thresholding Based on Improved Coyote Optimization Algorithm

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IEEE ACCESS 2021年 9卷 33595-33607页

作者： Li, Linguo Sun, Lijuan Xue, Yu Li, Shujing huang, xuwen Mansour, Romany Fouad Nanjing Univ Posts & Telecommun Sch Comp Nanjing 210003 Peoples R China Fuyang Normal Univ Coll Informat Engn Fuyang 236041 Peoples R China Nanjing Univ Informat Sci & Technol Sch Comp & Software Nanjing 210044 Peoples R China Fuyang Normal Univ Coll Comp & Informat Engn Fuyang 236041 Peoples R China New Valley Univ Fac Sci Dept Math El Kharga 72511 Egypt

Due to the computational complexity of multilevel image thresholding, Swarm Intelligence Optimization Algorithm (SIOA) has been widely applied to improve the calculation efficiency. Therefore, more and more attention has been paid to exploring the application of the latest SIOA in multilevel segmentation. This article takes Otsu and fuzzy entropy as the objective functions, using Coyote Optimization Algorithm (COA) for multilevel thresholds optimization selection, through fuzzy median aggregation of local neighborhood information and then forms the Fuzzy Coyote Optimization Algorithm (FCOA), so that the thresholding image segmentation can be achieved in the end. To prevent the COA algorithm from falling into the local optimum, this article follows the differential evolution strategy adopted by the standard COA, using the number of iterations to construct the differential scaling factor to form the Improved Coyote Optimization Algorithm (ICOA). The experimental results show that fuzzy Kapur entropy and fuzzy median value aggregation-based ICOA(FICOA) achieves better image segmentation quality. Compared with Grey Wolf Optimizer (GWO), Fuzzy Modified Quick Artificial Bee Colony and Aggregation Algorithm (FMQABCA) and Fuzzy Modified Discrete Grey Wolf Optimizer and Aggregation Algorithm (FMDGWOA), FCOA and FICOA have certain advantages in visual effects of image segmentation and PSNR, FSIM evaluation indices. Particularly compared with GWO (also a wolf evolutionary algorithm), FICOA shows significant advantages.

关键词： Image segmentation Optimization Linear programming Entropy Particle swarm optimization Histograms Heuristic algorithms Coyote optimization algorithm information entropy image segmentation multilevel thresholding

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Fuzzy Hybrid Coyote Optimization Algorithm for Image Thresholding

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Computers, Materials & Continua 2022年第8期72卷 3073-3090页

作者： Linguo Li xuwen huang Shunqiang Qian Zhangfei Li Shujing Li Romany F.Mansour School of Computer Nanjing University of Posts and TelecommunicationsNanjing210003China School of Computer and Information Engineering Fuyang Normal UniversityFuyang236041China Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

In order to address the problems of Coyote Optimization Algorithm in image thresholding,such as easily falling into local optimum,and slow convergence speed,a Fuzzy Hybrid Coyote Optimization Algorithm(here-inafter referred to as FHCOA)based on chaotic initialization and reverse learning strategy is proposed,and its effect on image thresholding is *** chaotic initialization,the random number initialization mode in the standard coyote optimization algorithm(COA)is replaced by chaotic *** sequence is nonlinear and long-term unpredictable,these characteristics can effectively improve the diversity of the population in the optimization ***,in this paper we first perform chaotic initialization,using chaotic sequence to replace random number initialization in standard *** combining the lens imaging reverse learning strategy and the optimal worst reverse learning strategy,a hybrid reverse learning strategy is then *** the process of algorithm traversal,the best coyote and the worst coyote in the pack are selected for reverse learning operation respectively,which prevents the algorithm falling into local optimum to a certain extent and also solves the problem of premature *** on the above improvements,the coyote optimization algorithm has better global convergence and computational *** simulation results show that the algorithmhas better thresholding effect than the five commonly used optimization algorithms in image thresholding when multiple images are selected and different threshold numbers are set.

关键词： Coyote optimization algorithm image segmentation multilevel thresholding logistic chaotic map hybrid inverse learning strategy

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Detection of Network Time Covert Channels Based on Image Processing 23

Detection of Network Time Covert Channels Based on Image Pro...

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4th International Conference on Computing, Networks and Internet of Things, CNIOT 2023

作者： huang, xuwen Chen, Yonghong Li, Zhiqiang Zhan, Teng School of Computer Science and Technology Huaqiao University Xiamen Fujian China Xiamen Key Laboratory of Data Security and Blockchain Technology Huaqiao University Xiamen Fujian China

ISBN: (纸本)9798400700705

Network covert timing channels (NCTCs) utilize Inter-Packet Delay (IPD) encoding to hide data. It can be used for spreading malware and data leakage, posing severe threats to network security. With the increasing risk, the research on NCTC detection has become an important and urgent task. However, the detection methods based on IPD statistics are only effective for few types of channels and require large IPD sampling samples. The recent ML-based detection methods have multiple limitations due to their coarse-grained feature extraction method. In this paper, we propose a multi-channel image transformation method for extracting IPD features and select the lightweight network MobileVit for detection. We encode IPD one-dimensional time-series data into Gramian Angular Field (GAF), Markov Transition Field (MTF), and Recurrence plot (RP) images and stack them into dual-channel and three-channel images. After image transformation, we compare mainstream image classification networks and a self-built CNN. Experimental results show that our feature extraction image classification is more effective than the existing IPD extraction image transformation method. The MobileVit network shows better detection performance and accuracy, requiring fewer IPD sampling samples for detection windows. © 2023 ACM.

关键词： Sampling

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Catalytic ozonation process for treating coking biochemical wastewater based on an Fe-Mn/Al2O3 catalyst

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COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS 2025年 713卷

作者： Qin, Yihe Yuan, Run Luo, Shaojun huang, Haiming He, xuwen Dongguan Univ Technol Sch Environm & Civil Engn Dongguan 523808 Peoples R China Tianjin Univ Sch Earth Syst Sci Tianjin 300072 Peoples R China China Univ Min & Technol Sch Chem & Environm Engn Beijing 100083 Peoples R China

Catalysts with high catalytic performance are crucial for the catalytic ozonation of organic wastewater. This study synthesized an efficient, stable, and practical Fe-Mn/Al2O3 ozone catalyst for wastewater treatment using an impregnation calcination method, and applied it in the catalytic ozonation of wastewater. When the concentration of manganese nitrate was 0.15 mol/L, the Mn/Fe ratio was 3:1, the immersion time was 24 h, the calcination temperature was 500 degrees C, and the calcination time was 4 h, the prepared Fe-Mn/Al2O3 had the best catalytic effect on simulated wastewater, with a chemical oxygen demand (COD) removal efficiency of 73.6 %. At the same time, the physicochemical properties of the catalyst were investigated, and the catalytic effect of the catalyst on actual coking wastewater was investigated on a laboratory scale. When the ozone concentration was 20 mg/L, the gas flow rate was 0.5 L/min, the catalyst concentration was 400 g/L, and the pH was 7.02, the actual COD removal efficiency of coking wastewater was 71.6 %. The pilot test results showed that the COD of the treated coking wastewater could stably meet the standard (COD<80 mg/L), with an average COD removal rate of about 58.3 %, indicating that the Fe-Mn/Al2O3 had high catalytic activity and good stability. Kinetic analysis showed that the degradation process of organic pollutants followed the pseudo-second-order kinetic equation. The results of water quality analysis such as conventional water quality indicators, fluorescence spectroscopy, and molecular weight classification indicated that the large molecular organic pollutants were efficiently degraded. Mechanism analysis indicated that the active components of the catalyst reacted with ozone through electron transfer to enhance the ozone utilization efficiency and efficiently remove organic pollutants. This study can provide theoretical support and technical reference for the standardized discharge of coking wastewater in the future.

关键词： Catalytic ozonation Coking wastewater Mechanism exploration Water quality analysis

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金融危机对东盟各国的影响及其走出困局浅析

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东南亚纵横 2009年第2期 83-86页

作者：黄旭文上海海关学院培训部

2007年夏天爆发的美国次贷危机已演变成一场席卷全球的严重的金融风暴。这次金融危机波及范围之广、影响程度之深、冲击强度之大,为20世纪30年代大萧条以来所罕见。当前,受美国、欧元区经济衰退的影响,作为新兴经济体的东盟各国也正面... 详细信息

2007年夏天爆发的美国次贷危机已演变成一场席卷全球的严重的金融风暴。这次金融危机波及范围之广、影响程度之深、冲击强度之大,为20世纪30年代大萧条以来所罕见。当前,受美国、欧元区经济衰退的影响,作为新兴经济体的东盟各国也正面临多年来最严峻的挑战。一。

关键词：金融危机东盟市场分析发展战略

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