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International Conference on Cyberspace Technology, CCT 2013

作者： Li, Rongsheng Lv, Tiejun Lu, Yueming Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781849198011

In this paper, the performance of joint transmit/receive zero-forcing (ZF) is analyzed for multiple-input multiple-out (IV11MO) amplify-and-forward (AT) two-way relay network when the relay has two antennas. The performance is studied by deriving exact expressions of the overall outage probability and the diversity order under the uncorrelated Rayleigh fading channel and relay-corr elated Rayleigh fading channel as well. Analysis and simulation results indicate that, compared to uncorrelated Rayleigh fading, spatial correlation at the relay deteriorates the performance of the system greatly, but does not affect the diversity order of the system.

关键词： Antennas

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Research and Implementation of Trusted Data Collection Technology in Network Community 6

Research and Implementation of Trusted Data Collection Techn...

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6th Annual 2018 International Conference on Geo-Spatial Knowledge and Intelligence, GSKI 2018

作者： Wu, Xu Duan, Sishu Xie, Xiaqing Key Laboratory of Trustworthy Distributed Computing and Service BUPT China School of Cyberspace Security BUPT China Beijing University of Posts and Telecommunications Library China

This paper attempts to research and implement the data collection technology and trusted mechanism in network communities, and explore how to improve the reliability and credibility of the data collection process from multiple levels, providing reliable data sources for data analysis. © Published under licence by IOP Publishing Ltd.

关键词： Data acquisition

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A decomposition based multiobjective evolutionary algorithm for dynamic overlapping community detection 13th

A decomposition based multiobjective evolutionary algorithm ...

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13th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2018

作者： Wan, Xing Zuo, Xingquan Song, Feng School of Computer Science Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing China

ISBN: (纸本)9789811328282

Dynamic and overlapping are common features of community structures of many real world complex networks. There are few studies on detecting dynamic overlapping communities, but those studies consider only single optimization objective. In practice, it is necessary to evaluate the community detection by multiple metrics to reflect different aspects of a community structure. In this paper, we propose a multi-objective evolutionary algorithm based approach for the problem of dynamic overlapping community detection, with consideration of three optimization objectives: partition density (D), the extended modularity (EQ), and the community smoothing (NMILFK). The dynamic overlapping network is regarded as a set of network snapshots. The multi-objective evolutionary algorithm based on decomposition (MOEA/D) is used to detect the communities for each snapshot. Experiments show that our approach can find uniformly distributed Pareto solutions for the problem and outperforms those comparative approaches. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Complex networks

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A Novel Evolutionary Neural Network-based Approach for Online Bus Scheduling 21

A Novel Evolutionary Neural Network-based Approach for Onlin...

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21st International Conference on Networking, Sensing and Control, ICNSC 2024

作者： Tian, Wenyang Wang, Feiyang Zuo, Xingquan School of Computer Science Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing China

ISBN: (纸本)9798350365221

Bus scheduling is vital to ensure service quality and save operational costs. Current studies typically consider the problem as an optimization problem and solve it using exact or heuristic approaches. In this paper, we consider the problem as a sequential decision-making problem and propose an Evolutionary Neural Network-based Approach (ENNA) for it. A neural network is used to make a decision at each departure time in the bus timetable. It selects which bus should depart at that specific time. By this means, a complete bus scheduling scheme is generated by a series of decisions made by the neural network. The structure and weights of the neural network are optimized by a genetic algorithm. To meet the real-world operational needs of bus duty types and improve bus utilization, we design a bus duty type transition rule that dynamically decides the duty type of buses. Experimental results demonstrate that the proposed ENNA outperforms manual scheduling schemes and can generate bus scheduling schemes with fewer buses. © 2024 IEEE.

关键词： Genetic algorithms

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An Efficient Batch Verification Scheme for SM2 Signatures 8

An Efficient Batch Verification Scheme for SM2 Signatures

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8th International Conference on Dependable Systems and Their Applications, DSA 2021

作者： Liu, Dingning Yuan, Yuyu Xue, Tengfei Chen, Lei Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education China Huawei Technologies Co. Ltd China

ISBN: (纸本)9781665443913

SM2 cryptographic algorithm is an elliptic curve public key algorithm released by China's State Cryptography Administration, which includes digital signature algorithms, key exchange protocols, public key encryption algorithms, etc. As SM2 is widely used in identity authentication and authorization services in scenarios such as e-government, e-commerce and national economy, we found that there is less research on batch verification scheme for SM2 signatures to improve the performance of multi-verification tasks. In this paper, we provide an efficient batch verification scheme for SM2 signatures which is based on the public key verification and calculation of original algorithm. Different from single verification at a time, it can improve the calculation speed by verifying multiple signatures together. Aiming at the possibility of future use in industrial applications, we then provide a highly available implementation of the algorithm. Also, we discuss the verification performance for different quantity of signers and signatures. © 2021 IEEE.

关键词： Electronic document identification systems

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Short-term traffic flow prediction based on echo state networks

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Advances in Information Sciences and service Sciences 2012年第9期4卷 269-277页

作者： Yang, Fei Wang, Chunlu Zuo, Xingquan Zhong, Ruiming Xiang, Fei School of Computer Science Beijing University of Post and Telecommunications Key Lab of Trustworthy Distributed Computing and Service of the Ministry of Education of China Services Sciences and Intelligent Transportation Research Center 10086 China

The traffic flow is critical for the traffic control and traffic guidance. As the short-term traffic flow has the characteristics of highly nonlinear, complexity and chaos, the traditional neural networks can not totally satisfy the performance in the aspects of prediction accuracy, training speed and stability. In order to solve those problems, a novel traffic flow prediction model based on echo state networks (ESN) is proposed. The model is established based on the chaotic property of traffic flow. Firstly, through phase space reconstruction of chaotic traffic flow data, the suitable input and output of ESN can be obtained. Then, by optimizing its key parameters of ESN, the ESN can make full use of the chaotic property of the input and output data to get more accurate prediction results. The propose model is applied to a real-world traffic flow prediction problem in the area of Xizhimen bridge of Beijing city, and compare with back-propagation neural networks (BPNN), Elman neural networks (Elman) and wavelet neural networks (WNN). The prediction results show that the model outperforms comparative other models in accuracy, training speed and stability.

关键词： Elman neural networks

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Joint cache placement and beamforming design for scalable videos in C-RAN 15

Joint cache placement and beamforming design for scalable vi...

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15th International Symposium on Wireless Communication Systems, ISWCS 2018

作者： Ma, Mingfeng Lv, Tiejun Zhang, Xuewei Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781538650059

This paper investigates the joint optimization of layered caching and beamforming design for scalable videos delivered by Dynamic Adaptive Streaming over HTTP in the multicell cloud radio access network. To transmit differential scalable videos, each video is divided into a base layer and a set of enhancement layers based on scalable video coding. Taking the layered property of scalable videos into account, we propose a layered caching scheme, i.e., multiple layers of different scalable videos are cached in the baseband unit pool and the cache-enabled cluster respectively, which alleviates the burden of backhaul links effectively. Since the quality of videos received by each user depends on the available bandwidth, the appropriate scalable videos are provided for users based on the transmission rates. To provide superior video quality for users, we aim to maximize the sum rate for users accessing the remote radio heads and regard the backhaul consumption as a quality of service constraint explicitly. Then, the weighted sum rate maximization problem is formulated, which can be converted into a quadratically constrained quadratic programming problem through the l0-norm approximation technique and the weighted minimum mean square error approach. Finally, simulation results demonstrate the superiority of the proposed scheme. © 2018 IEEE.

关键词： Scalable video coding

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SWIPT-Aided Secure Beamforming Design for Downlink Cooperative NOMA Systems 6

SWIPT-Aided Secure Beamforming Design for Downlink Cooperati...

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6th Global Wireless Summit, GWS 2018

作者： Hao, Yunqin Lv, Tiejun Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Information and Communication Engineering Beijing100876 China

ISBN: (纸本)9781538642887

In this paper, we consider a downlink non-orthogonal multiple access system, in which base station emits secret messages to two legitimate users in the presence of multiple eavesdroppers, and all the eavesdroppers collude to form joint receive beamforming, in an attempt to enhance their interceptions. In light of this, a cooperative simultaneous wireless information and power transfer non-orthogonal multiple access secure transmission protocol is proposed, where the legitimate user with a stronger channel condition acts as an energy harvesting relay to help that with a weaker channel condition. Following this, a secrecy sum rate maximization problem is formulated, under the constraints of transmit power and quality of service requirements. By taking both the single-antenna and multiple-antenna scenarios into account, two different optimization schemes, i.e., the power control scheme, and the null-space beamforming design scheme, are presented to maximize the secrecy sum rate. Numerical results verify the superiority of our proposed schemes over the benchmarks. © 2018 IEEE.

关键词： Beamforming

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TKCA:a timely keystroke-based continuous user authentication with short keystroke sequence in uncontrolled settings

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Cybersecurity 2021年第1期4卷 177-192页

作者： Lulu Yang Chen Li Ruibang You Bibo Tu Linghui Li Institute of Information Engineering Chinese Academy of Sciences100093 BeijingChina School of Cyber Security University of Chinese Academy of Sciences100049 BeijingChina Key Laboratory of Trustworthy Distributed Computing and Service Ministry of EducationBeijing University of Posts and Telecommunications100876 BeijingChina

keystroke-based behavioral biometrics have been proven effective for continuous user *** state-of-the-art algorithms have achieved outstanding results in long text or short text collected by doing some *** remains a considerable challenge to authenticate users continuously and accurately with short keystroke inputs collected in uncontrolled *** this work,we propose a Timely keystroke-based method for Continuous user Authentication,named *** integrates the key name and two kinds of timing features through an embedding *** it captures the relationship between context keystrokes by the Bidirectional Long Short-Term Memory(Bi-LSTM)*** conduct a series of experiments to validate it on a public dataset-the Clarkson II dataset collected in a completely uncontrolled and natural *** results show that the proposed TKCA achieves state-of-the-art performance with 8.28%of EER when using only 30 keystrokes and 2.78%of EER when using 190 keystrokes.

关键词： keystroke dynamics Continuous user authentication Embedding LSTM Bi-LSTM

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VMScan: an out-of-VM malware scanner

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The Journal of China Universities of Posts and Telecommunications 2020年第4期27卷 59-68页

作者： Lin Jie Liu Chuanyi Fang Binxing School of Computer Science and Technology Harbin Institute of TechnologyShenzhenShenzhen 518055China Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and TelecommunicationsBeijing 100876China Department of Information and Electronic Engineering Chinese Academy of EngineeringBeijing 100088China

The harm caused by malware in cloud computing environment is more and more serious. Traditional anti-virus software is in danger of being attacked when it is deployed in virtual machine on a large scale, and it tends not to be accepted by tenants in terms of performance. In this paper, a method of scanning malicious programs outside the virtual machine is proposed, and the prototype is implemented. This method transforms the memory of the virtual machine to the host machine so that the latter can access it. The user space and kernel space of virtual machine memory are analyzed via semantics, and suspicious processes are scanned by signature database. Experimental results show that malicious programs can be effectively scanned outside the virtual machine, and the performance impact on the virtual machine is low, meeting the needs of tenants.

关键词： security virtualization cloud malware virus detection signature scanning

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