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EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 2025年第3期12卷 1-12页

作者： Huu, Tien Vu Huong, Thao Nguyen Thi Faculty of Multimedia Posts and Telecommunications Institute of Technology Hanoi Viet Nam Faculty of Electronics Engineering Posts and Telecommunications Institute of Technology Hanoi Viet Nam

The reduction of greenhouse gas emissions in the Internet and ICT sectors has become a critical challenge. According to recent research, the key contributors to greenhouse gas emissions in Internet include high energy consumption factors such as data centers, transmission network devices, and end-user devices. Among Internet services, video streaming is one of the services having the highest traffic volume and number of users. Consequently, developing energy-efficient solutions for video streaming networks, particularly for end-user devices, is an urgent research priority. Reducing energy consumption in end-user devices in a video streaming system often requires compromises in parameters that impact the quality of user experience (QoE). Therefore, achieving an optimal trade-off between minimizing energy consumption and maintaining an acceptable QoE is a key objective. In this study, a cost function that integrates QoE and energy consumption is developed using the Lagrange multiplier method. Based on this function, an adaptive bitrate algorithm is proposed to select optimal video segments for video players, ensuring maximum QoE while minimizing energy consumption. The performance of the proposed method is evaluated using various types of video samples under varying network bandwidth conditions. Experimental results show that the proposed method reduces energy consumption of end-user devices by up to 5.9% and enhances QoE by 3.9% compared to previous methods. Copyright © 2025 Tien Vu Huu et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://***/licenses/by/4.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

关键词： Lagrange multipliers

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A novel approach for software vulnerability detection based on advanced computing

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Neural Computing and Applications 2025年第6期37卷 5121-5139页

作者： Do Xuan, Cho Anh, Huynh Nhat Posts and Telecommunications Institute of Technology Ha Noi Viet Nam

Because the damage caused by source code vulnerabilities to agencies and organizations is increasing, early detection and warning of these vulnerabilities is very necessary today. In recent times, approaches based on analyzing source code into Code Property Graph (CPG) and then using deep learning graph techniques, machine learning models or deep learning have brought certain effectiveness. However, some issues need to be improved in traditional approaches including: (i) source code feature extraction technique from CPG;(ii) source code classification techniques. To overcome the above two problems, this article will propose a new model called CSGD. The educational policy model will be a combination of three main techniques: Code sage;Graph Convolution Network (GCN);and Dropout. These three techniques will flexibly combine with each other to perform two main functions: Feature Intelligent Extraction and Rebalancing Data. Feature Intelligent Extraction will be a model combining GCN and Code sage to synthesize and extract source code features in the form of CPG. Code sage’s mission will be to synthesize and enrich information for CPG vertexes. GCN will convert the graph into a single feature vector. Finally, the Rebalancing Data technique in the CSGD model will generate additional data of missing labels based on the Dropout function. To evaluate the effectiveness of the CSGD model, this study will evaluate two experimental datasets that are being researched and widely applied today for the task of detecting source code vulnerabilities: Verum and FFmpeg + Qume. The experimental results in the article show that the CSGD model brings good results on both of these datasets. Besides, this model outperforms other approaches by 1% to 6% on the Verum dataset and by 1% to 5% on the FFmpeg + Qume dataset. This is the best result of the source code vulnerability detection task based on the FFmpeg + Qume and Verum datasets. © The Author(s), under exclusive licence to Springer-Verl

关键词： Deep learning

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Quantum-enhanced interferometry with unbalanced entangled coherent states

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Chinese Physics B 2025年第2期34卷 54-62页

作者： Jun Tang Zi-Hang Du Wei Zhong Lan Zhou Yu-Bo Sheng Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China School of Science Nanjing University of Posts and TelecommunicationsNanjing 210003China College of Electronic and Optical Engineering and College of Flexible Electronics(Future Technology) Nanjing University of Posts and TelecommunicationsNanjing 210003China

We propose a quantum-enhanced metrological scheme utilizing unbalanced entangled coherent states(ECSs) generated by passing a coherent state and a coherent state superposition through an unbalanced beam splitter(BS). We identify the optimal phase sensitivity of this scheme by maximizing the quantum Fisher information(QFI) with respect to the BS transmission ratio. Our scheme outperforms the conventional scheme with a balanced BS, particularly in the presence of single-mode photon loss. Notably, our scheme retains quantum advantage in phase sensitivity in the limit of high photon intensity, where the balanced scheme offers no advantage over the classical strategy.

关键词： quantum-enhanced interferometry entangled coherent state quantum Fisher information

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Classifying extended,localized and critical states in quasiperiodic lattices via unsupervised learning

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Chinese Physics B 2025年第1期34卷 422-427页

作者： Bohan Zheng Siyu Zhu Xingping Zhou Tong Liu School of Computer Science and Technology School of SoftwareNanjing University of Posts and TelecommunicationsNanjing 210023China Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Department of Applied Physics School of ScienceNanjing University of Posts and TelecommunicationsNanjing 210003China

Classification of quantum phases is one of the most important areas of research in condensed matter *** this work,we obtain the phase diagram of one-dimensional quasiperiodic models via unsupervised ***,we choose two advanced unsupervised learning algorithms,namely,density-based spatial clustering of applications with noise(DBSCAN)and ordering points to identify the clustering structure(OPTICS),to explore the distinct phases of the Aubry–André–Harper model and the quasiperiodic p-wave *** unsupervised learning results match well with those obtained through traditional numerical ***,we assess similarity across different algorithms and find that the highest degree of similarity between the results of unsupervised learning algorithms and those of traditional algorithms exceeds 98%.Our work sheds light on applications of unsupervised learning for phase classification.

关键词： quantum phase quasiperiodic machine learning

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Passive-state preparation for quantum secure direct communication

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Science China(Physics,Mechanics & Astronomy) 2025年第4期68卷 35-44页

作者： Jia-Wei Ying Jin-Yu Wang Yu-Xiang Xiao Shi-Pu Gu Xing-Fu Wang Wei Zhong Ming-Ming Du Xi-Yun Li Shu-Ting Shen An-Lei Zhang Lan Zhou Yu-Bo Sheng College of Electronic and Optical Engineering and College of Flexible Electronics(Future Technology) Nanjing University of Posts and TelecommunicationsNanjing 210023China Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China College of Science Nanjing University of Posts and TelecommunicationsNanjing 210023China

Quantum secure direct communication(QSDC)can transmit the secret message ***-photon-based QSDC protocol requires the active modulation of the quantum state of the source,potentially introducing various side-channel *** this paper,we propose a passive-state preparation QSDC *** utilizing a passive-state preparation method,we remove the need for active modulation,thus eliminating the side-channel risks associated with the source *** evaluate the performance of the protocol,we develop a system model and improve the decoy state *** parameter optimization,we identify the optimal secrecy message capacity for various communication distances and compare it with active modulation *** a communication distance of 10(15)km,the secrecy message capacity of passive-state preparation QSDC reaches3.894×10^(-4)(3.715×10^(-5))bit/pulse,achieving 95.3%(91.5%)of the active case’s ***,we consider the resource consumption and optimize the secrecy message transmission rate of passive-state preparation *** a coherent light source with a frequency of 10^(6)Hz,at communication distances of 5,10,and 15 km,the secrecy message transmission rates for passive-state preparation QSDC reach 2.370×10^(2),4.218×10,and 2.504 bit/s,respectively.

关键词： quantum secure direct communication single-photon passive-state preparation decoy state

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Switched event-triggered control using a non-monotonic Lyapunov function

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Science China(Information Sciences) 2024年第11期67卷 365-366页

作者： Yajing MA Zhanjie LI Chao DENG Lei DING Dong YUE School of Internet of Things Nanjing University of Posts and Telecommunications Institute of Advanced Technology for Carbon Neutrality Nanjing University of Posts and Telecommunications

Networked control systems(NCSs), whose feedback loops are connected via the communication networks, have a wide application in computer science, medicine, telecommunications, and so on. However, communication networks may suffer from congested network traffic due to the limited network bandwidth. One way to solve these issues is to use event-triggered sampling to alleviate network bandwidth utilization.

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Measurement-based entanglement purification for hybrid entangled state

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Chinese Physics B 2025年第3期34卷 104-114页

作者： Cheng-Chen Luo Shi-Pu Gu Xing-Fu Wang Lan Zhou Yu-Bo Sheng College of Science Nanjing University of Posts and TelecommunicationsNanjing 210023China College of Electronic and Optical Engineering&College of Flexible Electronics(Future Technology) Nanjing University of Posts and TelecommunicationsNanjing 210023China Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China

Hybrid entangled states(HESs),which involve different particles with various degrees of freedom,have garnered significant attention and been applied in a wide range of quantum ***,similar to other categories of entanglement,maximally HESs inevitably degrade to mixed states due to the environmental noise and operational *** address the degradation problem,measurement-based entanglement purification offers a feasible and robust solution alternative to conventional gate-based purification *** this paper,we propose a measurement-based hybrid entanglement purification protocol(MB-HEPP)for a certain kind of HES which consists of polarization photons and coherent *** extend our methodology to several conditions,such as the multi-copy and multi-party scenarios,and the photon-loss *** with previous HEPPs,this protocol has several ***,it does not depend on post-selection and the purified HESs can be retained for further ***,it does not require the Bell state measurement,but only uses the parity check with conventional linear optical elements,which makes it have the higher success probability and more *** MB-HEPP has potential applications in future heterogeneous quantum networks.

关键词： hybrid entanglement measurement-based entanglement purification parity check

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A Novel Approach for Android Malware Detection Based on Intelligent Computing

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Computers, Materials & Continua 2024年第12期81卷 4371-4396页

作者： Manh Vu Minh Cho Do Xuan Faculty of Information Security Posts and Telecommunications Institute of TechnologyHanoi100000Vietnam

Detecting malware on mobile devices using the Android operating system has become a critical challenge in the field of cybersecurity,in the context of the rapid increase in the number of malware variants and the frequency of attacks targeting Android *** this paper,we propose a novel intelligent computational method to enhance the effectiveness of Android malware detection *** proposed method combines two main techniques:(1)constructing a malware behavior profile and(2)extracting features from the malware behavior profile using graph neural ***,to effectively construct an Android malware behavior profile,this paper proposes an information enrichment technique for the function call graph of malware files,based on new graph-structured features and semantic features of the malware’s source ***,to extract significant features from the constructed behavior profile,the study proposes using the GraphSAGE graph neural *** this novel intelligent computational method,a variety of significant features of the malware have been effectively represented,synthesized,and *** approach to detecting Android malware proposed in this paper is a new study and has not been explored in previous *** experimental results on a dataset of 40,819 Android software indicate that the proposed method performs well across all metrics,with particularly impressive accuracy and recall scores of 99.03%and 99.19%,respectively,which outperforms existing state-of-the-art methods.

关键词： Android malware detection malware behavior profile function call graph graph neural network graph-structured features semantic features

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Side-channel free quantum digital signature with source monitoring

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Chinese Physics B 2025年第1期34卷 53-58页

作者： Luo-Jia Ma Ming-Shuo Sun Chun-Hui Zhang Hua-Jian Ding Xing-Yu Zhou Jian Li Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Broadband Wireless Communication and Sensor Network Technology Key Laboratory of Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China

Quantum digital signature(QDS)can guarantee the information-theoretical security of a signature with the fundamental laws of quantum ***,most current QDS protocols do not take source security into account,leading to an overestimation of the signature *** this paper,we propose to utilize Hong–Ou–Mandel interference to characterize the upper bound of the source imperfections,and further to quantify information leakage from potential ***,we combine decoy-state methods and finite-size analysis in analyzing the signature *** results demonstrate the performance and feasibility of our *** current work can improve the practical security of QDS systems,thereby promoting their further networked applications.

关键词： Hong-Ou-Mandel interference side-channel free quantum digital signature

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A Data Intrusion Tolerance Model Based on an Improved Evolutionary Game Theory for the Energy Internet

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Computers, Materials & Continua 2024年第6期79卷 3679-3697页

作者： Song Deng Yiming Yuan Institute of Advanced Technology Nanjing University of Posts and TelecommunicationsNanjing210003China College of Automation Nanjing University of Posts and TelecommunicationsNanjing210003China

Malicious attacks against data are unavoidable in the interconnected,open and shared Energy Internet(EI),Intrusion tolerant techniques are critical to the data security of *** intrusion tolerant techniques suffered from problems such as low adaptability,policy lag,and difficulty in determining the degree of *** address these issues,we propose a novel adaptive intrusion tolerance model based on game theory that enjoys two-fold ideas:(1)it constructs an improved replica of the intrusion tolerance model of the dynamic equation evolution game to induce incentive weights;and (2)it combines a tournament competition model with incentive weights to obtain optimal strategies for each stage of the game *** experiments are conducted in the IEEE 39-bus system,whose results demonstrate the feasibility of the incentive weights,confirm the proposed strategy strengthens the system’s ability to tolerate aggression,and improves the dynamic adaptability and response efficiency of the aggression-tolerant system in the case of limited resources.

关键词： Energy Internet Intrusion tolerance game theory racial competition adaptive intrusion response

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