Chinese Journal of Electronics最新文献_第6页

DeepSTGCN: Enhancing Network Traffic Forecasting with a Spatiotemporal Graph Convolutional Network DeepSTGCN：利用时空图卷积网络增强网络流量预测

IF 4.5 4区计算机科学

Chinese Journal of Electronics Pub Date : 2026-07-01 Epub Date: 2026-09-09 DOI: 10.23919/cje.2025.00.241

Yonghua Huo;Ying Liu;Ruoyan Huang;Yang Yang;Jian Su

引用次数: 0

Simulation and Experimentation of Micro/Nano Plasma Switches for High-Power Fast Pulse Generation 大功率快脉冲微纳等离子体开关的仿真与实验

IF 4.5 4区计算机科学

Chinese Journal of Electronics Pub Date : 2026-07-01 Epub Date: 2026-09-09 DOI: 10.23919/cje.2025.00.504

Haiquan Zhao;Yuzhe Zheng;Feiliang Chen;Zihao Zheng;Wanying Tang;Chenyu Luo;Ruotong Zhou;Mo Li;Jian Zhang

{"title":"Simulation and Experimentation of Micro/Nano Plasma Switches for High-Power Fast Pulse Generation","authors":"Haiquan Zhao;Yuzhe Zheng;Feiliang Chen;Zihao Zheng;Wanying Tang;Chenyu Luo;Ruotong Zhou;Mo Li;Jian Zhang","doi":"10.23919/cje.2025.00.504","DOIUrl":"https://doi.org/10.23919/cje.2025.00.504","url":null,"abstract":"This paper addresses two critical challenges in micro/nano plasma switch (MNPS) research: the lack of reliable physical models for device design and the absence of equivalent circuit models for circuit design. First, we resolve the convergence and model mismatch issues of MNPS in COMSOL Multiphysics simulations by introducing a field enhancement factor and improving the boundary conditions. This can enable us to establish a clear relationship between device structure and working voltage, effectively guiding device structure design and working voltage determination. Devices designed based on this model are experimentally validated, confirming the accuracy of the physical model and demonstrating an ultrafast switching speed exceeding 8.5 V/ps, surpassing the speed limits of traditional solid-state devices. Furthermore, at the circuit level, an equivalent circuit model of the MNPS is established based on measurement data and simulation parameter extraction. Based on this, we design and construct the MNPS-Marx pulse source for the first time. Experimental results show that measured waveforms closely matched simulations, validating the effectiveness of the model. This pulse source achieves kilovolt-level output, sub-nanosecond pulse widths, and a rise times < 80 ps, offering new possibilities for pulse power systems and ultra-wideband radar applications.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"35 4","pages":"1529-1539"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11685004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148909413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multisource Remote Sensing Data Collaboration: Technological Progress, Challenges, and Prospects for Intelligent Applications 多源遥感数据协作：智能应用的技术进步、挑战和前景

IF 4.5 4区计算机科学

Chinese Journal of Electronics Pub Date : 2026-07-01 Epub Date: 2026-09-09 DOI: 10.23919/cje.2025.00.203

Yunhao Gao;Gang Wang;Wei Li;Mengmeng Zhang;Jinxin Zhang;Ran Tao

{"title":"Multisource Remote Sensing Data Collaboration: Technological Progress, Challenges, and Prospects for Intelligent Applications","authors":"Yunhao Gao;Gang Wang;Wei Li;Mengmeng Zhang;Jinxin Zhang;Ran Tao","doi":"10.23919/cje.2025.00.203","DOIUrl":"https://doi.org/10.23919/cje.2025.00.203","url":null,"abstract":"As remote sensing technology continues to evolve rapidly, multisource data collaboration has become a research hotspot in the field of Earth observation. Compared to single-source approaches in environmental monitoring, disaster assessment, precision agriculture, and other domains, multisource remote sensing demonstrates significant advantages in monitoring reliability and complex scenario interpretation capabilities. This paper systematically reviews the theoretical advances, typical applications, and future challenges of multi-source remote sensing technology. First, we analyze the complementary advantages of multisource remote sensing data in spatial-spectral resolution and terrain characterization capabilities, including hyperspectral, multispectral, and synthetic aperture radar (SAR). Next, we explore algorithmic frameworks for pixel-level, feature-level, and decision-level fusion, as well as current trends in multi-modal remote sensing foundational models. Furthermore, this paper identifies key technical challenges, such as the heterogeneity of multisource data, complexity of cross-modal feature association, insufficient model generalization, and computational efficiency bottlenecks. Finally, we provide an in-depth analysis of future research directions to advance theoretical foundations and technical solutions in remote sensing information science.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"35 4","pages":"1393-1404"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11685217","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148909456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Size-Dependent Bifunctional Micro-LED Arrays for Visible Light Communication 用于可见光通信的尺寸相关双功能微型led阵列

IF 4.5 4区计算机科学

Chinese Journal of Electronics Pub Date : 2026-07-01 Epub Date: 2026-09-09 DOI: 10.23919/cje.2025.00.208

Zheng Shi;Haojie Zhang;Sirui Wu;Tianlong Xie;Dongmei Wu;Jiabin Yan;Yongjin Wang;Haitao Zhao;Xumin Gao

{"title":"Size-Dependent Bifunctional Micro-LED Arrays for Visible Light Communication","authors":"Zheng Shi;Haojie Zhang;Sirui Wu;Tianlong Xie;Dongmei Wu;Jiabin Yan;Yongjin Wang;Haitao Zhao;Xumin Gao","doi":"10.23919/cje.2025.00.208","DOIUrl":"https://doi.org/10.23919/cje.2025.00.208","url":null,"abstract":"In recent years, micro-LED (µ-LED) array has attracted significant attention in the field of high-speed visible light communication (VLC), but further size optimization research is still needed to enhance communication performance. In this paper, we systematically investigate the size effects of µ-LED arrays in the duplex integration between the transmitter and photodetector (PD). By fabricating suspended thin-film blue µ-LED arrays with diameters of 20 µm, 30 µm, and 40 µm, the optoelectronic characteristics and modulation bandwidth of the three devices were characterized. The experimental results indicate that the 40 µm device exhibited the highest emission efficiency and photocurrent, while the 20 µm device achieved the highest modulation bandwidth of 13.86 MHz under an injection current of 50 mA. To investigate the size-dependent VLC performance of µ-LED array-based transmitter and PD, we employed both on-off keying and discrete multitone modulation schemes. A maximum data transmission rate of 158.8 Mbps was achieved using a 20 µm µ-LED array as the transmitter, while a 30 µm array used as the PD yielded a maximum data reception rate of 222.7 Kbps, indicating 20 µm and 30 µm as the optimal sizes for transmission and detection units, respectively. This finding not only provides device-level design guidelines for duplex VLC systems but also lays the key technological foundation for the practical implementation of full-duplex VLC through innovative device integration.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"35 4","pages":"1678-1688"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11685258","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148909419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Nonsegmented Behavioral Modeling for 1.2 kV SiC MOSFETs in PSpice based on Neural Network 基于神经网络的1.2 kV SiC mosfet PSpice非分段行为建模

IF 4.5 4区计算机科学

Chinese Journal of Electronics Pub Date : 2026-07-01 Epub Date: 2026-09-09 DOI: 10.23919/cje.2025.00.376

Aijun Zhang;Yuming Zhang;Xiaoyan Tang;Zedong Xue;Yibo Zhang;Qingwen Song;Zhiyuan Qi;Hao Yuan

{"title":"A Nonsegmented Behavioral Modeling for 1.2 kV SiC MOSFETs in PSpice based on Neural Network","authors":"Aijun Zhang;Yuming Zhang;Xiaoyan Tang;Zedong Xue;Yibo Zhang;Qingwen Song;Zhiyuan Qi;Hao Yuan","doi":"10.23919/cje.2025.00.376","DOIUrl":"https://doi.org/10.23919/cje.2025.00.376","url":null,"abstract":"This article introduces an advanced modeling method for the silicon carbide (SiC) metal-oxide-semiconductor field-effect transistors (MOSFETs). This method based on artificial neural network (ANN) to address the problem of existing modeling being unable to describe the current-voltage characteristics (I - V) of the first and third quadrant in a nonsegmented model. Additionally, the voltage-dependent capacitance characteristics (C - V) of intrinsic parasitic elements-gate-source capacitance (C<inf>GS</inf>), gate-drain capacitance (C<inf>GD</inf>), and drain-source capacitance <tex>$(C_{text{DS}})$</tex> — are modeled using the same ANN framework, enabling comprehensive representation of the device's dynamic behavior. In order to verify the effectiveness of the proposed model method, the SiC MOSFET E3M0075120D (1200 V/75 mΩ) is modeled by ANN. ANN training utilizes <tex>$I - V$</tex> and <tex>$C - V$</tex> data from datasheet. The optimized ANN architecture comprises a three-layer feedforward network for both the <tex>$I - V$</tex> and <tex>$C - V$</tex>. Then, the obtained ANN structure is described using the circuit description language in personal simulation program with integrated circuit emphasis (PSpice) to realize the MOSFET characteristics, thus completing the establishment of the model. To verified the accuracy of the model, the modeling results is compared with the measured results. Based on the comparison results, the modeling results are largely consistent with the measurement results which means this ANN-based modeling approach is suitable for power SiC MOSFETs.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"35 4","pages":"1569-1576"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11685221","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148909441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-Resolution Remote Sensing Image Change Detection Based on Efficient-Mamba Feature Interaction and Multiscale Refinement 基于高效-曼巴特征交互和多尺度细化的高分辨率遥感图像变化检测

IF 4.5 4区计算机科学

Chinese Journal of Electronics Pub Date : 2026-07-01 Epub Date: 2026-09-09 DOI: 10.23919/cje.2025.00.298

Shou Feng;Yulin Shen;Wei Hou;Yingjie Tang;Yongqi Chen;Chunhui Zhao

{"title":"High-Resolution Remote Sensing Image Change Detection Based on Efficient-Mamba Feature Interaction and Multiscale Refinement","authors":"Shou Feng;Yulin Shen;Wei Hou;Yingjie Tang;Yongqi Chen;Chunhui Zhao","doi":"10.23919/cje.2025.00.298","DOIUrl":"https://doi.org/10.23919/cje.2025.00.298","url":null,"abstract":"Change detection in high-resolution (HR) remote sensing images has emerged as a fundamental task in Earth observation, aiming to accurately identify and delineate land surface changes over time. Nevertheless, its performance is often constrained by pseudo-changes arising from style discrepancies between bi-temporal images, as well as those introduced by local shadows. Recently, Mamba-based architectures have attracted significant interest due to their efficient modeling capabilities. Building upon this foundation, this paper proposes an efficient-Mamba feature interaction and multiscale refinement (EFMR) method for HR remote sensing image change detection, which enhances overall detection accuracy while effectively mitigating pseudo-changes. Firstly, EFMR employs the efficient Mamba feature interaction module for efficient spatiotemporal alignment, emphasizing structural differences and suppressing pseudo-changes caused by style discrepancies. To mitigate shadow-induced pseudo-changes, EFMR utilizes the multiscale feature refinement module to refine multi-level change features through contextual modeling and residual enhancement. Additionally, to recover spatial details lost during upsampling, EFMR integrates a decoder based on the enhanced vision state space block, combining two-dimensional state-space modeling with multi-kernel depth-wise convolutions. On three public datasets, qualitative and quantitative experiments show that the proposed method achieves superior performance over nine state-of-the-art techniques in both overall accuracy and detailed visualization.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"35 4","pages":"1364-1379"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11685255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148909452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Green Tide Detection Method Based on Superpixel Fisher Vectors in Multispectral Remote Sensing Images 基于超像素Fisher向量的多光谱遥感影像绿潮检测方法

IF 4.5 4区计算机科学

Chinese Journal of Electronics Pub Date : 2026-07-01 Epub Date: 2026-09-09 DOI: 10.23919/cje.2025.00.157

Yuqing Zhou;Xueqian Wang;Zhihao Wang;Gang Li

{"title":"A Novel Green Tide Detection Method Based on Superpixel Fisher Vectors in Multispectral Remote Sensing Images","authors":"Yuqing Zhou;Xueqian Wang;Zhihao Wang;Gang Li","doi":"10.23919/cje.2025.00.157","DOIUrl":"https://doi.org/10.23919/cje.2025.00.157","url":null,"abstract":"Green tide detection in multispectral remote sensing images (MSRSIs) is of great importance to protect the ecological security of marine environments. Existing green tide detection methods based on pixel-level features of MSRSIs have shortcomings to leverage the boundary and structure information of green tide areas, suffering from a mass of false alarms. To address this issue, this paper proposes a novel green tide detection method that utilizes superpixels as the basic processing units and fisher vector (FV) as feature encoding strategy, exploiting both spatial and statistical characteristics of MSRSIs. Firstly, MSRSIs are segmented via superpixels to enhance the spatial boundary characteristics of MSRSIs. Secondly, Gaussian mixture model is utilized to model the statistical distribution of superpixels, and the FV for each superpixel is calculated to extract the multi-order features therein. Finally, FVs of superpixels in MSRSIs are classified into green tide and non-green tide areas by the random forest classifier. Experimental results show that our proposed method outperforms the existing commonly used methods based on measured data.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"35 4","pages":"1405-1420"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11685223","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148909453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RL-Enhanced Resource Allocation Optimization for Efficient AIGC-Based Federated Learning at Edge 基于强化学习的边缘高效aigc联邦学习资源分配优化

IF 4.5 4区计算机科学

Chinese Journal of Electronics Pub Date : 2026-07-01 Epub Date: 2026-09-09 DOI: 10.23919/cje.2025.00.333

Zihan Li;Yijing Lin;Jialing He;Jiacheng Wang;Zixuan Chen;Siya Xu;Dusit Niyato

{"title":"RL-Enhanced Resource Allocation Optimization for Efficient AIGC-Based Federated Learning at Edge","authors":"Zihan Li;Yijing Lin;Jialing He;Jiacheng Wang;Zixuan Chen;Siya Xu;Dusit Niyato","doi":"10.23919/cje.2025.00.333","DOIUrl":"https://doi.org/10.23919/cje.2025.00.333","url":null,"abstract":"Foundation models (FMs) are increasingly employed in federated learning (FL) at edge to support artificial intelligence generated content (AIGC) services. However, the large-scale parameterization and extensive pretraining requirements of FMs impose significant computational and communication burdens on resource-constrained edge networks, resulting in considerable delays in AIGC services. Current model lightweighting methods require additional training to compensate for model degradation. Furthermore, most bandwidth allocation methods ignore channel characteristics such as signal-to-noise ratio (SNR), packet loss rate (PLR), and transmission power of edge devices with weak connectivity, resulting in frequent retransmission and low transmission rates. In order to improve the efficiency of AIGC-based FL, both local training phase and model uploading phase for global aggregation are considered. We propose a lightweight training mechanism based on an optimized proximal policy optimization (PPO) algorithm, which adaptively adjust the number of heads in attention layer and neurons in the feedforward layer. Then we propose a comprehensive bandwidth resource allocation mechanism for efficient gradient transmission based on a gated recurrent unit (GRU)-enhanced asynchronous advantage actor-critic (A3C) algorithm, which considers SNR, PLR, and transmission power. Simulations demonstrate that the proposed methods achieve faster FL without model degradation compared with related approaches.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"35 4","pages":"1776-1789"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11685213","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148909467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Improved Single-Event Effect Robustness SiC LDMOS with Multilayer N-Buffers and an Embedded Schottky Barrier Structure 具有多层n -缓冲器和嵌入式肖特基势垒结构的改进单事件效应稳健性SiC LDMOS

IF 4.5 4区计算机科学

Chinese Journal of Electronics Pub Date : 2026-07-01 Epub Date: 2026-09-09 DOI: 10.23919/cje.2025.00.397

Xuke Yan;Xiaochuan Deng;Xing Zeng;Tao Xu;Xuan Li;Wanjun Chen;Bo Zhang

{"title":"An Improved Single-Event Effect Robustness SiC LDMOS with Multilayer N-Buffers and an Embedded Schottky Barrier Structure","authors":"Xuke Yan;Xiaochuan Deng;Xing Zeng;Tao Xu;Xuan Li;Wanjun Chen;Bo Zhang","doi":"10.23919/cje.2025.00.397","DOIUrl":"https://doi.org/10.23919/cje.2025.00.397","url":null,"abstract":"To enhance tolerance of single event burnout (SEB) and single event gate rupture (SEGR), a 1200 V silicon carbide (SiC) lateral diffused metal-oxide-semiconductor field effect transistor (LDMOS) with multilayer N-buffers and an embedded Schottky barrier structure (MBS-LDMOS) is proposed and characterized by Technology Computer Aided Design (TCAD) in this paper. At N-drift/N+ drain junction, the multilayer N-buffers spatially separate strong electric fields from large currents induced by irradiation. Within N-buffers, the power peak is reduced by more than an order of magnitude, while the overall distribution exhibits improved uniformity. Consequently, the maximum lattice temperature in MBS-LDMOS is limited by reduced heat power and an expanded energy dissipation area, decreasing from 2385 K in the conventional SiC LDMOS (C-LDMOS) at 300 V to 923 K in MBS-LDMOS at 600 V. For MBS-LDMOS, an SEB threshold voltage achieves 655 V under a linear energy transfer (LET) of 75 MeV·cm<sup>2</sup>/mg, corresponding to a 365 V improvement than that of C-LDMOS. Furthermore, when heavy ions strike SEGR sensitive position (right side of gate), the embedded Schottky contact and surrounding P-base provide additional paths to extract the heavy ion-induced holes accumulated beneath the gate oxide. Therefore, the proposed structure alleviates electric field crowding in the gate oxide, resulting in a maximum gate oxide electric field of 3.38 MV/cm for MBS-LDMOS with a LET of 75 MeV·cm<sup>2</sup>/mg, merely 26% of that in C-LDMOS under a <tex>$V_{text{DS}}$</tex> of 600 V.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"35 4","pages":"1550-1559"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11684962","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148909414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving Malware Detection Through Enhanced Model Interpretability in Hybrid Environment 在混合环境下通过增强模型可解释性改进恶意软件检测

IF 4.5 4区计算机科学

Chinese Journal of Electronics Pub Date : 2026-07-01 Epub Date: 2026-09-09 DOI: 10.23919/cje.2025.00.170

Asia Maqsood;Hamid Turab Mirza;Arslan Akram;Javed Rashid;Muhammad Faheem

{"title":"Improving Malware Detection Through Enhanced Model Interpretability in Hybrid Environment","authors":"Asia Maqsood;Hamid Turab Mirza;Arslan Akram;Javed Rashid;Muhammad Faheem","doi":"10.23919/cje.2025.00.170","DOIUrl":"https://doi.org/10.23919/cje.2025.00.170","url":null,"abstract":"Malware is malicious software invented to harm or exploit computer networks, systems, and devices. The detection of malware is a critical issue in today's hybrid environment, which consists of Windows and Android operating systems. Traditional malware detection practices, such as signature-based detection, often do not detect new and advanced malware. To address this concern, researchers have proposed various advanced approaches, including static and dynamic analysis, by dint of machine learning and ensemble learning, and deep learning for effective malware detection for both Android and Windows separately. However, still, they can't properly handle the issues of model interpretability, concept drifting and high false positive rate. To solve these issues, this research investigates a novel technique for malware identification in a hybrid environment, where both Windows and Android operating systems are analyzed together through a unified framework that integrates both static and dynamic evaluation techniques. Alternatively, if separate analysis is used: this research investigates a technique where separate analyses are conducted for Android and Windows environments, leveraging both static and dynamic evaluation techniques tailored to each platform. The performance of the proposed approach is evaluated through three experimental trials using a balanced, benchmarked, updated and large dataset from both the Android and Windows operating systems to create a hybrid environment. A model is proposed to evaluate the accuracy of malware detection which handles the issue of model interpretability, concept drifting and high false positive rate. It achieves 95.50% accuracy, 98.85% precision, 96.16% recall, 0.06% false positive rate (FPR), 96.60% F1-score and 96.4%. The results highlighted that the proposed approach sur state-of-the-art malware detection techniques.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"35 4","pages":"1507-1528"},"PeriodicalIF":4.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11685003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148909417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0