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9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Yaoyu, Li Shuai, Jin Yue, Zhao National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9798350330076

In the context of the "Internet +"paradigm and the prevalence of big data, the issue of security pertaining to Internet information is becoming conspicuous. Conventional data analysis technology exhibits limited diagnostic efficiency and inadequate security performance, rendering it unsuitable for meeting the fundamental requirements of information security in the present era of big data. In considering the previous issues, by analyzing encryption technologies such as Twofish, Blowfish, and RSA, this study proposes a hybrid data encryption method by combining RSA and Blowfish algorithms, and a corresponding cloud computing environment based sensitive data sharing policy for efficiency-first scenarios. Experimental data demonstrates that the encryption efficiency and security performance of this hybrid encryption method exceed the baseline algorithm, and can ensure the encryption efficiency and security performance of data-sharing in cloud environment. © 2023 IEEE.

关键词： Cryptography

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Numerical and experimental studies on the effectiveness of time-varying electromagnetic fields in reducing electron density

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Plasma science and technology 2023年第6期25卷 30-40页

作者：郭韶帅谢楷徐晗付麦霞牛营营 Key Laboratory of Grain Information Processing and Control(Henan University of Technology) Ministry of EducationZhengzhou 450001People's Republic of China College of Information Science and Engineering Henan University of TechnologyZhengzhou 450001People's Republic of China School of Aerospace Science and Technology Xidian UniversityXi'an 710071People's Republic of China

When an aircraft or a hypersonic vehicle re-enters the atmosphere,the plasma sheath generated can severely attenuate electromagnetic wave signals,causing the problem of communication blackout.A new method based on time-varying E×B fields is proposed to improve on the existing static E×B fields and mitigate the radio blackout *** use of the existing method is limited by the invalid electron density reduction resulting from current density j=0 A m^(-2)in plasma beyond the Debye *** most remarkable feature is the introduction of a time-varying electric field to increase the current density in the plasma to overcome the Debye shielding effect on static electric ***,a magnetic field with the same frequency and phase as the electric field is applied to ensure that the electromagnetic force is always acting on the plasma in one *** order to investigate the effect of time-varying E×B fields on the plasma electron density distribution,two directions of voltage application are considered in numerical *** simulation results indicate that different voltage application methods generate electromagnetic forces in different directions in the plasma,resulting in repulsion and vortex effects in the plasma.A comparison of the vortex effect and repulsion effect reveals that the vortex effect is better at reducing the electron *** local plasma electron density can be reduced by more than 80%through the vortex effect,and the dimensions of the area of reduced electron density reach approximately 6 cm×4 cm,meeting the requirements of electromagnetic wave ***,the vortex effect of reducing the electron density in RAM-C(radio attenuation measurements for the study of communication blackout)reentry at an altitude of 40 km is *** the basis of the simulation results,an experiment based on a rectangular-window discharge device is proposed to demonstrate the effectiveness of the vortex *** results show t

关键词： blackout magnetic window method time-varying E×B fields

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Research on Security Management of Combat Data Based on Blockchain 9

Research on Security Management of Combat Data Based on Bloc...

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9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Zhao, Yue Li, Yaoyu Zhu, Jianghan National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9798350330076

In order to satisfy the security management requirements of combat data, such as availability, verifiability, and non-repudiation, it's necessary to establish a unified and standardized framework for identity authentication and security guarantee. This framework should address the shortcomings of traditional application model and ensure the business data integrity of combat data management system. The blockchain has the natural characteristic of multi-party and tamper proof, which would enhance the security, reliability, and credibility of combat data. Considering the high dynamic of the battlefield environment and the hierarchical mode of data analysis, we design a basic framework for combat data management based on blockchain. A trusted method of identity authentication is further proposed based on consensus mechanism. A protection mode of data security is constructed based on state secret protection protocol, which consists of signature data and encryption *** designed framework would support the long-term, stable, and efficient operation of the combat data management system. © 2023 IEEE.

关键词： Blockchain

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Unveiling the Impact of Network Structure in Enhancing information Dissemination Efficiency for Military Command and Control : A SIR Modeling Study 9

Unveiling the Impact of Network Structure in Enhancing Infor...

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9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Liu, Shixian Jiang, Miao Chen, Honghui Li, Peihong Mao, Yanying Wang, Siyuan Liu, Dengfeng National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9798350330076

At the intersection of network science, communication models, and military command and control, this study explores the critical impact of network structure on the efficiency of information dissemination. We discuss how these findings can be applied to real-world military situations. Our research employs the SIR model and network simulation to replicate the information propagation process within the network. We discovered that various aspects of the network structure, such as node relationships, topology, and information propagation paths, exert a significant influence on the speed and scope of information dissemination. Furthermore, we explore the practical applications of these theories and findings in military command and control strategies. By considering network structure, we can design follow-up experiments tailored to specific network classifications within complex and realistic environments, aiming to optimize communication methods. In summary, this study introduces an innovative perspective in the military domain, with far-reaching implications for future research and the practical implementation of military command decision-making. © 2023 IEEE.

关键词： Network topology

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Resource Allocation for Underwater Acoustic Sensor Networks With Partial Spectrum Sharing: When Optimization Meets Deep Reinforcement Learning

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IEEE Transactions on Network and Service Management 2025年第3期22卷 2715-2730页

作者： Tang, Rui Zhang, Ruizhi Xu, Yongjun Liu, Chuan Huang, Chongwen Yuen, Chau China West Normal University School of Electronic Information Engineering Key Laboratory of Optimization Theory and Applications Internet of Things Perception and Big Data Analysis Key Laboratory of Nanchong City Sichuan Nanchong637002 China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400064 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Nanyang Technological University School of Electrical and Electronics Engineering Jurong West 639798 Singapore

To utilize the limited acoustic spectrum while combating the harsh underwater propagation, we incorporate partial spectrum sharing into an underwater acoustic sensor network and aim to maximize the minimum data collection rate among all underwater sensor nodes through joint power allocation and spectrum assignment. To cope with the non-convex optimization problem, we propose a Hybrid Model-based and Data-based Resource Allocation (HMDRA) scheme: 1) Under any given spectrum assignment strategy, we analyze the impact of the partial spectrum sharing and imperfect successive interference cancellation on baseband signal processing, and formulate a power allocation problem that is solved by the bisection method and Lagrange dual theory. 2) Based on the optimal power allocation strategy, the gradient-free genetic algorithm (GA) is first adopted to approach the optimal solution of the model-less spectrum assignment problem by nearly enumerating the solution space. To reduce complexity, we further propose a deep reinforcement learning (DRL)-based algorithm and obtain an efficient solution by traversing a deep neural network-based policy learned from the training stage. Simulation results show that compared with the GA-based algorithm, the average execution time of the DRL-based algorithm is substantially reduced by 5 orders of magnitude to 0.7076 seconds at the cost of approximately 6 percent performance loss. © 2004-2012 IEEE.

关键词： Deep reinforcement learning

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Research on the Application of Swarm Intelligence Algorithms to the Fire Assignment 9

Research on the Application of Swarm Intelligence Algorithms...

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9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Yin, Minglou Pan, Xiaogang Jiao, Yuanyuan Li, Zhimeng National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9798350330076

The fire assignment problem is a multi-parameter, multi-constraint NP (non-deterministic polynomial)-complete problem, the swarm intelligence algorithm has an inherent advantage in the solution, especially in the genetic algorithm, ant colony algorithm and particle swarm algorithm is the most representative, but there are still some shortcomings, such as the lack of interpretability and the tendency to fall into local optimization, and this is the direction of the improvement of the strategy to improve the efficiency of the fire assignment, the intelligent decision-making is of great theoretical significance and practical application value. © 2023 IEEE.

关键词： Swarm intelligence

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Robust twin-field quantum key distribution through sending or not sending

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National science Review 2023年第4期10卷 76-85页

作者： Cong Jiang Zong-Wen Yu Xiao-Long Hu Xiang-Bin Wang Jinan Institute of Quantum Technology State Key Laboratory of Low Dimensional Quantum Physics Department of Physics Tsinghua University Data Communication Science and Technology Research Institute School of Physics State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen University Shanghai Branch CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Shenzhen Institute for Quantum Science and Engineering and Physics Department Southern University of Science and Technology Frontier Science Center for Quantum Information

The sending-or-not-sending(SNS) protocol is one of the most major variants of the twin-field(TF)quantum key distribution(QKD) protocol and has been realized in a 511-km field fiber, the farthest field experiment to date. In practice, however, all decoy-state methods have unavoidable source errors, and the source errors may be non-random, which compromises the security condition of the existing TF-QKD protocols. In this study, we present a general approach for efficiently calculating the SNS protocol's secure key rate with source errors, by establishing the equivalent protocols through virtual atenuation and the tagged model. This makes the first result for TF QKD in practice where source intensity cannot be controlled exactly. Our method can be combined with the two-way classical communication method such as active odd-parity pairing to further improve the key rate. The numerical results show that if the intensity error is within a few percent, the key rate and secure distance only decrease marginally. The key rate of the recent SNS experiment in the 511-km field fiber is still positive using our method presented here, even if there is a ±9.5% intensity fluctuation. This shows that the SNS protocol is robust against source errors.

关键词： quantum information quantum key distribution sending or not sending twin field source error

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R3 - Rescale, Rotate, and Randomize: A Novel Image Cryptosystem Utilizing Chaotic and Hyper-Chaotic systems

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IEEE Access 2023年 11卷 119284-119312页

作者： Gabr, Mohamed Korayem, Yousef Chen, Yen-Lin Yee, Por Lip Ku, Chin Soon Alexan, Wassim Faculty of Media Engineering and Technology Computer Science Department Cairo11835 Egypt National Taipei University of Technology Department of Computer Science and Information Engineering Taipei106344 Taiwan Universiti Malaya Faculty of Computer Science and Information Technology Department of Computer System and Technology Kuala Lumpur50603 Malaysia Universiti Tunku Abdul Rahman Department of Computer Science Kampar31900 Malaysia Faculty of Information Engineering and Technology Communications Department Cairo11835 Egypt New Administrative Capital Mathematics Department Cairo13507 Egypt

This work proposes a novel image encryption algorithm that integrates unique image transformation techniques with the principles of chaotic and hyper-chaotic systems. By harnessing the unpredictable behavior of the Chua system and the hyper-chaotic nature of the Chen system, the algorithm carries out rescaling, rotation, and randomization on the target image. The intrinsic unpredictability and sensitivity to initial conditions of these chaotic systems endow the encryption algorithm with an expansive key space of 25208. This feature not only bolsters its resilience against brute-force attacks but also magnifies its overall security profile. The algorithm's efficiency is evident in its rapid computational speed and lean resource consumption, making it suitable for real-time applications. To gauge its robustness, a battery of rigorous tests and analyses, spanning differential attacks, statistical attacks, and brute-force assaults, were employed. The results validate its ability to resist a diverse spectrum of threats. With its expansive key space, exceptional efficiency, and sturdy defenses, the proposed algorithm emerges as a potential cornerstone for safeguarding digital images in arenas like secure communication, data storage, and multimedia transmission. In sum, this research pushes the boundaries of high-security image encryption methodologies, catering to the burgeoning demands of the digital age. © 2013 IEEE.

关键词： Cryptography

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DADN: Data Augmentation-Driven Dual Network Framework for Node Classification 2

DADN: Data Augmentation-Driven Dual Network Framework for No...

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2nd International Conference on Automation, Robotics and Computer engineering, ICARCE 2023

作者： Liu, Dengfeng Pan, Zhiqiang Wang, Siyuan Li, Peihong Liu, Shixian Mao, Yanying National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9798350308341

Node classification is an important task in graph neural networks (GNNs), aiming to predict the category of nodes in the graph according to their neighbours and their own characteristics. Current methods mainly focus on one level of data augmentation, ignoring huge potential in other underlying levels. Furthermore, existing models cannot fully exploit the information contained in the existing data, which undermines the performance of node classification. In order to solve the above problems, we propose a novel Data Augmentation-driven Dual Network (DADN) framework. Specifically, we first design a composite data augmentation module that comprehensively considers the local neighborhood level, the node level, and the edge level to augment the original features. Then, we copy the original features and the augmented features into the dual network framework with dropout for model training to capture the innermost features. Finally, we experimentally evaluate our method on three real-world public datasets, and the results show that our method outperforms the baseline models in the node classification task, except for individual metrics. © 2023 IEEE.

关键词： Classification (of information)

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S2Gait: RGB-based Gait Recognition with Style Feature Sampling Data Augmentation

S2Gait: RGB-based Gait Recognition with Style Feature Sampli...

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2025 IEEE/SICE International Symposium on system Integration, SII 2025

作者： Yoshino, Koki Nakashima, Kazuto Ahn, Jeongho Iwashita, Yumi Kurazume, Ryo Kyushu University Graduate School of Information Science and Electrical Engineering Japan Kyushu University Faculty of Information Science and Electrical Engineering Japan California Institute of Technology Jet Propulsion Laboratory United States

ISBN: (纸本)9798331531614

Gait is unique to individuals and can be acquired from a distance, making it difficult to disguise. Gait videos also contain many elements unrelated to gait, which make gait recognition challenging. Departing from common approaches that use preprocessing such as silhouette extraction, the RGB-based method extracts gait features directly from RGB gait videos. RGB-based methods leverage the difference between two inputs with different attributes to separate gait-related/unrelated features, but their separation performance depends on the diversity of the dataset. To increase the amount and diversity of training data, we focus on the latent space of gait-independent features (style features), which are usually not needed for gait recognition. In this paper, we propose S2Gait (Style feature Sampling Gait), which augments the training data online with images generated from gait-dependent features of the input images and sampled style features. Experiments demonstrate that the proposed method surpasses existing RGB-based methods on almost all metrics for both generated image quality and identification accuracy. We also explore the relationship between the amount of data augmentation and performance taking advantage of our method's flexibility to generate a wide variety of gait images. © 2025 IEEE.

关键词： RGB color model

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