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2020 International Conference on Cyberspace Innovation of Advanced Technologies, CIAT 2020

作者： Zhang, Daojuan Qian, Kexiang Wang, Wenhui Fang, Fuyang Wang, Chonghua Luo, Xi State Grid Key Laboratory of Information and Network Security Global Energy Interconnection Research Institute Co. Ltd Beijing China Information Science Academy China Electronics Technology Group Corporation Beijing China Department of Security Technology China Industrial Control Systems Cyber Emergency Response Team Beijing China Cyber Space Institute of Advanced Technology Guangzhou University Guangzhou China

ISBN: (纸本)9781450387828

With the development of information technology, the scale of the network continues to expand, and the security issues continue to increase. The complexity of the network security situation is increasing and the importance of the network security situational awareness continues to increase. The data sources are wide, the type and the number are large in a large-scale network environment currently. This paper comprehensively studies the network security situational awareness technology based on multi-source heterogeneous data. In addition, this paper introduces the origin, concept and the model of the network situational awareness, as well as the characteristics of network security situational awareness based on multi-source heterogeneous data fusion. Finally, the key technologies in the security situational awareness such as the extraction of situational elements, multi-source data fusion, situation assessment, situation prediction and visual display are introduced. © 2020 ACM.

关键词： Data fusion

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Multi-objective particle swarm optimization with adaptive strategies for feature selection

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Swarm and Evolutionary Computation 2021年 62卷

作者： Han, Fei Chen, Wen-Tao Ling, Qing-Hua Han, Henry School of Computer Science and Communication Engineering Jiangsu University ZhenjiangJiangsu212013 China Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace ZhenjiangJiangsu212013 China School of Computer Science Jiangsu University of Science and Technology ZhenjiangJiangsu212003 China Department of Computer and Information Sciences Fordham University NY48105 United States

Feature selection is a multi-objective optimization problem since it has two conflicting objectives: maximizing the classification accuracy and minimizing the number of the selected features. Due to the lack of selection pressures, most feature selection algorithms based on multi-objective optimization obtain many optimal solutions around the center of Pareto fronts. The penalty boundary interaction (PBI) decomposition approach provides fixed selection pressures for the population, but fixed selection pressures are hard to solve feature selection problems with complicated Pareto fronts. This paper proposes a novel feature selection algorithm based on multi-objective particle swarm optimization with adaptive strategies (MOPSO-ASFS) to improve the selection pressures of the population. An adaptive penalty mechanism based on PBI parameter adjusts penalty values adaptively to enhance the selection pressures of the archive. An adaptive leading particle selection based on feature information combines the opposite mutation and the feature frequencies to improve the selection pressure of each particle. The proposed algorithm is compared with 6 related algorithms on 14 benchmark UCI datasets and 6 gene datasets. The experimental results show that MOPSO-ASFS can find optimal solutions with better convergence and diversity than comparison algorithms especially on the high dimensional datasets. © 2021 Elsevier B.V.

关键词： Multiobjective optimization

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Safeguarding Next Generation Multiple Access Using Physical Layer security Techniques: A Tutorial

arXiv

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arXiv 2024年

作者： Lv, Lu Xu, Dongyang Hu, Rose Qingyang Ye, Yinghui Yang, Long Lei, Xianfu Wang, Xianbin Kim, Dong In Nallanathan, Arumugam The State Key Laboratory of Integrated Services Networks Xidian University Xi’an710071 China The School of Information and Communications Engineering Xi’an Jiaotong University Xi’an710049 China The Department of Electrical and Computer Engineering Utah State University LoganUT84322 United States The Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts & Telecommunications Xi’an710121 China The School of Information Science and Technology Southwest Jiaotong University Chengdu610031 China The Department of Electrical and Computer Engineering Western University LondonONN6A 5B9 Canada The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of School of Electronic Engineering and Computer Science Queen Mary University of London E1 4NS United Kingdom

Driven by the ever-increasing requirements of ultrahigh spectral efficiency, ultra-low latency, and massive connectivity, the forefront of wireless research calls for the design of advanced next generation multiple access schemes to facilitate provisioning of these stringent demands. This inspires the embrace of non-orthogonal multiple access (NOMA) in future wireless communication networks. Nevertheless, the support of massive access via NOMA leads to additional security threats, due to the open nature of the air interface, the broadcast characteristic of radio propagation as well as intertwined relationship among paired NOMA users. To address this specific challenge, the superimposed transmission of NOMA can be explored as new opportunities for security aware design, for example, multiuser interference inherent in NOMA can be constructively engineered to benefit communication secrecy and privacy. The purpose of this tutorial is to provide a comprehensive overview on the state-of-the-art physical layer security techniques that guarantee wireless security and privacy for NOMA networks, along with the opportunities, technical challenges, and future research trends. Copyright © 2024, The Authors. All rights reserved.

关键词： Radio waves

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A Analysis of Attack and Defense Mobile Ad Hoc Network Based on OPNET

A Analysis of Attack and Defense Mobile Ad Hoc Network Based...

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2019 International Conference on Advanced Material Research and Processing technology, AMRPT 2019

作者： Dai, Jiahao Xu, Xiaofeng Science and Technology on Communication Information Security Control Laboratory Zhejiang Jiaxing China China Electronic Group Corporation No.36 Institute Zhejiang Jiaxing China

Due to the broadcast nature of wireless communications, the damage to mobile ad hoc networks is becoming more and more common. We propose a network stability model that can effectively reflect the network performance when the network is damaged in real time. The Ad Hoc network model is built by using the node model supporting the IEEE802.11 standard provided by OPNET software to simulate the network performance of the network under different degrees of damage. This model provides an effective way for the simulation analysis of network performance under the condition of Ad Hoc network damage. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Mobile ad hoc networks

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Deep learning for cooperative radio signal classification

arXiv

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arXiv 2019年

作者： Zheng, Shilian Chen, Shichuan Yang, Xiaoniu Science and Technology on Communication Information Security Control Laboratory

Radio signal classification has a very wide range of applications in cognitive radio networks and electromagnetic spectrum monitoring. In this article, we consider scenarios where multiple nodes in the network participate in cooperative classification. We propose cooperative radio signal classification methods based on deep learning for decision fusion, signal fusion and feature fusion, respectively. We analyze the performance of these methods through simulation experiments. We conclude the article with a discussion of research challenges and open problems. Copyright © 2019, The Authors. All rights reserved.

关键词： Cognitive radio

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Efficient decoy states for the reference-frame-independent measurement-device-independent quantum key distribution

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Physical Review A 2020年第5期101卷 052318-052318页

作者： Feng-Yu Lu Zhen-Qiang Yin Guan-Jie Fan-Yuan Rong Wang Hang Liu Shuang Wang Wei Chen De-Yong He Wei Huang Bing-Jie Xu Guang-Can Guo Zheng-Fu Han Key Laboratory of Quantum Information CAS Center For Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei 230026 China State Key Laboratory of Cryptology P. O. Box 5159 Beijing 100878 China Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu Sichuan 610041 China

Reference-frame-independent measurement-device-independent quantum key distribution (RFI-MDI-QKD) is a novel protocol that eliminates all possible attacks on the detector side and the necessity of reference-frame alignment in source sides. However, its performance may degrade notably due to statistical fluctuations since more parameters, e.g., yields and error rates for mismatched-basis events, must be accumulated to monitor the security. In this work, we find that the original decoy states method estimates these yields overpessimistically since it ignores the potential relations between different bases. Through jointly processing parameters of different bases, the performance of RFI-MDI-QKD is greatly improved in terms of the secret key rate and achievable distance when statistical fluctuations are considered (the statistical fluctuation analysis is the first step to the final analysis of the finite key size effect). Our results pave an avenue towards practical RFI-MDI-QKD.

关键词： Quantum cryptography

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EFaR 2023: Efficient Face Recognition Competition

EFaR 2023: Efficient Face Recognition Competition

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IEEE International Joint Conference on Biometrics (IJCB)

作者： Jan Niklas Kolf Fadi Boutros Jurek Elliesen Markus Theuerkauf Naser Damer Mohamad Alansari Oussama Abdul Hay Sara Alansari Sajid Javed Naoufel Werghi Klemen Grm Vitomir Štruc Fernando Alonso-Fernandez Kevin Hernandez Diaz Josef Bigun Anjith George Christophe Ecabert Hatef Otroshi Shahreza Ketan Kotwal Sébastien Marcel Iurii Medvedev Bo Jin Diogo Nunes Ahmad Hassanpour Pankaj Khatiwada Aafan Ahmad Toor Bian Yang Fraunhofer Institute for Computer Graphics Research IGD Germany TU Darmstadt Germany Department of Electrical and Computer Engineering Khalifa University Abu Dhabi United Arab Emirates Laboratory for Machine Intelligence Faculty of Electrical Engineering University of Ljubljana Slovenia Halmstad University Sweden Idiap Research Institute Martigny Switzerland École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Université de Lausanne (UNIL) Lausanne Switzerland Institute of Systems and Robotics University of Coimbra Coimbra Portugal Department of Information Security and Communication Technology eHealth and Welfare Security Group Norwegian University of Science and Technology Norway

This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition received 17 submissions from 6 different teams. To drive further development of efficient face recognition models, the submitted solutions are ranked based on a weighted score of the achieved verification accuracies on a diverse set of benchmarks, as well as the deployability given by the number of floating-point operations and model size. The evaluation of submissions is extended to bias, cross-quality, and large-scale recognition benchmarks. Overall, the paper gives an overview of the achieved performance values of the submitted solutions as well as a diverse set of baselines. The submitted solutions use small, efficient network architectures to reduce the computational cost, some solutions apply model quantization. An outlook on possible techniques that are underrepresented in current solutions is given as well.

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Review of X-ray pulsar spacecraft autonomous navigation

arXiv

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arXiv 2023年

作者： Wang, Yidi Zheng, Wei Zhang, Shuangnan Ge, Minyu Li, Liansheng Jiang, Kun Chen, Xiaoqian Zhang, Xiang Zheng, Shijie Lu, Fangjun College of Aerospace Science and Engineering National University of Defense Technology Changsha410073 China Key Laboratory of Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Chinese Academy of Sciences Beijing100049 China Beijing Institute of Control Engineering Beijing100080 China Beijing Institute of Tracking and Communication Technology Beijing100091 China Aerospace Information Research Institute Chinese Academy of Science Beijing100091 China Academy of Military Science Beijing100091 China National Innovation Institute of Defense Technology Academy of Military Science Beijing100091 China

This article provides a review on X-ray pulsar-based navigation (XNAV). The review starts with the basic concept of XNAV, and briefly introduces the past, present and future projects concerning XNAV. This paper focuses on the advances of the key techniques supporting XNAV, including the navigation pulsar database, the X-ray detection system, and the pulse time of arrival estimation. Moreover, the methods to improve the estimation performance of XNAV are reviewed. Finally, some remarks on the future development of XNAV are provided. © 2023, CC BY-NC-ND.

关键词： Navigation

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Low Self-Discharge All-Solid-State Electrochromic Asymmetric Supercapacitors at Wide Temperature Toward Efficient Energy Storage

SSRN

引用

SSRN 2022年

作者： Liu, Lei Liu, Chen Wang, Mengying Li, Bin Wang, Ke Fan, Xiangqian Li, Ning Wang, Huiqi Hu, Shengliang Diao, Xungang School of Energy and Power Engineering North University of China Taiyuan030051 China Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Science Shenyang110016 China School of Energy and Power Engineering Beihang University Beijing100191 China Research Center for Photovoltaics Shanghai Institute of Space Power-Sources Shanghai200245 China Science and Technology on Electro-Optical Information Security control Laboratory Tianjin300308 China

Electrochromic asymmetric supercapacitors (EASs) have attracted tremendous attention in recent years because of their potential for next-generation civilian portable and intelligent electronics. However, obtaining all-solid-state EASs with low self-discharge rates and outstanding environmental compatibility remains a crucial challenge. Herein, a high-performance all-solid-state EAS was fabricated based on MnO2 positive electrochromic electrode and WO3 negative electrochromic electrode. The obtained EAS exhibits high power/energy density (991.2 W kg-1/117 Wh kg-1 and 15840 W kg-1/44.3 Wh kg-1), superior electrochemical cycle-life (remains 98.4% of its initial capacity after 2000 continuous cycles even at 60 °C). Significantly, the fabricated EAS can still maintain a stable and reversible color change even in harsh environments where operating temperatures are constantly changing from -20 °C to 60 °C. In addition, the underlying self-discharge process and mechanisms of EASs were comprehensively demonstrated at various temperatures. At high working temperatures (such as 60 °C), the diffusion-controlled mechanism dominates in the initial discharging process, while at lower operating temperatures (such as -20 °C) both mechanisms nearly contribute equally. Impressively, the EAS presents a small voltage loss (all below 18%) within 10 h when operated at extreme temperatures. This work can enlighten and promote the development of low self-discharge electrochromic devices at widely operating temperatures for efficient energy storage. © 2022, The Authors. All rights reserved.

关键词： Temperature

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Ensuring Data Confidentiality with a Secure XTS-AES Design in Flash Translation Layer 5

Ensuring Data Confidentiality with a Secure XTS-AES Design i...

引用

5th IEEE International Conference on Cloud Computing and Big Data Analytics, ICCCBDA 2020

作者： Zhang, Qionglu Jia, Shijie He, Junlin Zhao, Xinyi Xia, Luning Niu, Yingjiao Jing, Jiwu State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China Data Assurance and Communication Security Research Center Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Beijing Certificate Authority Corporation Limited Beijing China

ISBN: (数字)9781728160245

ISBN: (纸本)9781728160245

Nowadays sensitive data are commonly stored on personal mobile devices (e.g., laptops and smartphones) or public cloud storage platforms. Data on these platforms are commonly protected with strong cryptography like full disk encryption (FDE), and XTS-AES is one of the most widely used encryption algorithms in FDE. Unfortunately, realizing XTS-AES above the block device layer on flash-based block devices is problematic: it neglects the unique nature of the underlying flash memory, which is the most widely employed storage in the mobile devices and cloud infrastructure. As the tweak values of the physical flash pages mapping to the same logical block address are same, thus the system will suffer from the chosen-plaintext attacks due to the out-of-place update of the flash memory. In this paper, we first introduce the concrete attacks for the prior XTS-AES implementation due to neglecting the unique nature of the underlying flash memory, and then propose SecureXTS, a secure XTS-AES implementation method in flash translation layer (FTL). SecureXTS takes advantage of physical page number and block erasure number to generate the tweak value, without introducing additional metadata and hardware extensions. We provide a proof-of-concept SecureXTS implementation using OpenNFM. The experimental results show that, compared with conventional XTS-AES implementations, our SecureXTS can provide secure data encryption functions and data confidentiality with negligible performance overhead. © 2020 IEEE.

关键词： Sensitive data

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