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5th EAI International Conference on 6G for Future Wireless Networks, 6GN 2022

作者： Li, Yuhai Sun, Yuxin Meng, Xianglong Xi, Liang Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300300 China School of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9783031360107

The terrestrial satellite network will play an essential role in 6G. Through the satellite system, people can obtain a lot of ground image information to process tasks and feedback. Forest resource is an essential resource. Determining the causes of deforestation is crucial for the development and implementation of forest protection plans. In this article, we propose a novel deep neural network model for distinguishing drivers of deforestation events from satellite forest images. To solve the problems of image rotation caused by satellite angle rotation and image blurring caused by extreme weather occlusion during satellite image acquisition, we add data enhancement and a self-supervised rotation loss to the model to improve the robustness and adaptability. We use deforestation maps generated from Landsat 8 satellite imagery as a dataset and demonstrate that our approach achieves better results than the baselines. © 2023, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Deforestation

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6G Network Traffic Intrusion Detection Using Multiresolution Auto-encoder and Feature Matching Discriminator 5th

6G Network Traffic Intrusion Detection Using Multiresolution...

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5th EAI International Conference on 6G for Future Wireless Networks, 6GN 2022

作者： Li, Yuhai Sun, Yuxin He, Dong Xi, Liang Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300300 China School of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9783031360107

With the development of 6G technology, security and privacy have become extremely important in the face of larger network traffic bandwidth. An effective intrusion detection system can deal with the network attacks. Deep learning has been developed in the field of intrusion detection, which can identify normal and abnormal traffic. However, existing methods cannot guarantee good performance in accuracy and efficiency. In this paper, based on the autoencoder and generative adversarial network, the multiresolution autoencoder is adopted in the network traffic feature extraction, which can obtain different encoding lengths and guarantee better data reconstruction. In addition, we add an extra feature matching loss to encourage the discriminator to get more discriminative information from the reconstructed samples. Our experimental results on the CIC-IDS2018 dataset indicates that compared with autoencoder and generative adversarial network, our model can effectively improve the detection accuracy and can be applied to 6G network traffic security detection. © 2023, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Intrusion detection

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Modulation recognition of composite modulation signal based on two-fold digital receiver and goodness of fit test

Modulation recognition of composite modulation signal based ...

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2021 IEEE International Conference on Electronic technology, communication and information, ICETCI 2021

作者： Lijun, Wang Yu, Han Pan, Zhou Hongfang, Ge Lei, Shen Science and Technology on Communication Information Security Control Laboratory Jiaxing China The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing China School of Communication Engineering Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781665432511

Aiming at the modulation recognition problem of mixed signal set {BPSK, QPSK, BPSK-FM, QPSK-FM} with unknown parameters, this paper proposes a modulation recognition algorithm based on two-fold PLL (phase locked loop) and goodness of fit test. The PLL is used to extract the features of the composite modulation signal, and the goodness of fit test is used to measure the distance of the phase cumulative distribution of the demodulation information. Theoretical analysis and simulation results show that the performance of the recognition method based on two-fold PLL and goodness of fit test is better than the widely used modulation recognition method based on constellation. ©2021 IEEE.

关键词： Phase locked loops

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Specific primary user sensing for wireless security in IEEE 802.22 network

Specific primary user sensing for wireless security in IEEE ...

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International Symposium on communications and information Technologies (ISCIT)

作者： Zhenxing Luo Caiyi Lou Shichuan Chen Shilian Zheng Shaowei Li Science and Technology on Communication Information Security Control Laboratory Jiaxing China

Cognitive Radio (CR) is considered as an effective technology for alleviating the spectrum shortage problem by enabling secondary users to utilize vacant spectrum allocated to a primary user (PU). IEEE 802.22 which is the first standard based on CR is developed to increase the efficiency of TV bands. However the physical layer security of IEEE 802.22 has been studied rarely. In this paper, we propose a scheme to sense the specific primary user for dealing with Primary User Emulation (PUE) Attack which is a possible threat to wireless security. According to ATSC digital TV which is one of the important PUs, we estimate the accuracies of pilot and symbol rate as RF fingerprint (RFF), and Support Vector Data Description (SVDD) is introduced to sense the fine differences of RFF to distinguish PUE attacker from PU. The simulation results show that the proposed scheme is feasible to verify the PUE attacker at a relative high SNR level.

关键词： Signal to noise ratio Training Radio frequency Sensors Accuracy Fingerprint recognition

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Multiway Dynamic Trust Chain Model on Virtual Machine for Cloud Computing

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China communications 2016年第7期13卷 83-91页

作者： Jie Zhu Guoyuan Lin Fucheng You Huaqun Liu Chunru Zhou School of Computer Science and Technology China University of Mining&TechnologyXuzhou 221116China State Key Laboratory for Novel Software Technology hosted at Nanjing University Nanjing 210093China Information Engineering School of Beijing Institute of Graphic Communication Beijing 102600China Beijing Key Laboratory of Signal and Information Processing for High-end Printing Equipment Beijing Institute of Graphic CommunicationBeijing 100026China Information Security Center Beijing University of Posts and TelecommunicationsBeijing 100876China Nanjing University of Information Science&Technology Nanjing 210044China

This paper sums up four security factors after analyzing co-residency threats caused by the special multitenant environment in the *** secure the factors,a multiway dynamic trust chain transfer model was proposed on the basis of a measurement interactive virtual machine and current behavior to protect the integrity of the system.A trust chain construction module is designed in a virtual machine *** dynamic monitoring,it achieves the purpose of transferring integrity between virtual machine.A cloud system with a trust authentication function is implemented on the basis of the model,and its practicability is shown.

关键词： cloud computing virtual machine trustworthiness measurement dynamic trust transfer

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Joint Delay and Maintenance Optimization for Spectrum Handoff in Cognitive Radio Networks Using Binary Shuffled Frog Leaping Algorithm

Joint Delay and Maintenance Optimization for Spectrum Handof...

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International Conference on communication technology (ICCT)

作者： Jianjun Jiang Shilian Zheng Science and Technology on Communication Information Security Control Laboratory Jiaxing China

In cognitive radio networks, when a primary user reoccupies the channel, cognitive radios (CRs) need to vacate the channel and reestablish a link on some other channel to avoid interference to primary users, resulting in spectrum handoff. A joint spectrum handoff delay and link maintenance optimization problem for spectrum handoff is formulated in this paper. A binary shuffled frog leaping algorithm (SFLA) based algorithm is proposed to solve this problem. Simulations show that the proposed algorithm performs far better than random target channel visiting scheme. It can obtain solutions with low handoff delay and low probability of handoff failure which are very close to the optimal solutions.

关键词： Delays Maintenance engineering Optimization Memetics Switches Sociology Statistics

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Wideband spectrum sensing in modulated wideband converter based cognitive radio system

Wideband spectrum sensing in modulated wideband converter ba...

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International Symposium on communications and information Technologies (ISCIT)

作者： Shilian Zheng Xiaoniu Yang Science and Technology on Communication Information Security Control Laboratory Jiaxing China

Wideband spectrum sensing is a fundamental problem in cognitive radio networks. In this paper, a wideband spectrum sensing procedure which consists of four steps, i.e., coarse support recovery, fine binary detection, band edges detection and clustering, for modulated wideband converter (MWC) based cognitive radio system at sub-Nyquist rate is proposed. Simulations show that with a sub-Nyquist sampling rate, the proposed spectrum sensing procedure can locate spectrum holes correctly.

关键词： Wideband Sensors Narrowband Cognitive radio Image edge detection Compressed sensing

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Distributed consensus algorithms for decision fusion based cooperative spectrum sensing in cognitive radio

Distributed consensus algorithms for decision fusion based c...

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International Symposium on communications and information Technologies (ISCIT)

作者： Shilian Zheng Xiaoniu Yang Caiyi Lou Science and Technology on Communication Information Security Control Laboratory Jiaxing China

Spectrum sensing is one of the fundamental problems for cognitive radio. In cognitive radio networks, cognitive radios can cooperatively sense the spectrum to detect the presence of primary users with higher sensitivity. This paper proposes distributed consensus algorithms for decision fusion based cooperative spectrum sensing. Both theoretical analysis and simulations are performed to show the convergence property of the algorithms. Results show that the proposed algorithms can realize central OR, AND, and M-out-of-n decision fusion rules by locally exchanging information among each radio and its adjacent neighbors in a distributed way.

关键词： Sensors Cognitive radio Convergence Network topology Algorithm design and analysis FCC Topology

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A Study on Resource Allocation for Mobile Edge Computing-Assisted Industrial Iot

A Study on Resource Allocation for Mobile Edge Computing-Ass...

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2023 International Conference on Networks, communications and Intelligent Computing, NCIC 2023

作者： Lu, Jie Zhang, Yuexia Li, Junjie Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems Beijing China Control Technology Ministry of Education Beijing Information Science and Technology University Key Laboratory of Modern Measurement Beijing China

ISBN: (纸本)9798350371949

Since the advancement of mobile communication technology, traditional industries are gradually transforming and upgrading, which leads to problems such as insufficient computing resources and excessive energy consumption of Internet of Things (IoT) devices. To address this issue, a resource allocation algorithm for the mobile edge computing-assisted industrial IoT (IIoT) is proposed. First, a mobile edge computing-assisted IIoT network model was constructed. Using the collaboration between IoT devices, mobile edge computing (MEC) servers, and cloud servers, the issue of minimizing all IIoT devices energy cost was proposed. Subsequently, in order to address the optimization issue, obtain its optimal solution, the alternating direction method of multipliers (ADMM) algorithm is introduced. Finally, the ADMM algorithm's convergence was verified through an experimental simulation. In contrast to baseline algorithm 1 and algorithm 2, the ADMM algorithm can significantly diminish energy cost, proving the effectiveness of the proposed scheme. © 2023 IEEE.

关键词： Resource allocation

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An Analysis of Routing Simulation technology of Unmanned Cluster Based on OPNET 1

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3rd EAI International Conference on Artificial Intelligence for communications and Networks, AICON 2021

作者： Dai, Jiahao Wang, Yuhui Zhu, Huijie Ren, Yongji Science and Technology on Communication Information Security Control Laboratory Harbin China China Electronic Corporation NO. 36 Institute Zhejiang Jiaxing China Naval Aviation University Changzhi China

ISBN: (数字)9783030901998

ISBN: (纸本)9783030901981

The military strategic guideline under the new situation points out that the base point of future war preparation is to win the informationized war mainly from the direction of unmanned cluster. Routing protocol is an important part of unmanned network communication system, and it is one of the most challenging tasks in unmanned network. This paper simulates five protocols, AODV, DSR, OLSR, TORA and GRP, analyzes the characteristics of each protocol under different circumstances, finds suitable protocols for unmanned trunking communication network under different environments, and provides suggestions for the establishment of a reasonable network. © 2021, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： OPNET Routing protocol Unmanned cluster

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