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2021 IEEE Global Communications Conference (GLOBECOM)

作者： Xinying Chen Min Sheng Nan Zhao Wei Xu Dusit Niyato School of Information and Communication Engineering Dalian University of Technology Dalian China Faculty of Information Technology University of Jyväskylä Jyväskylä Finland State Key Laboratory of Integrated Services Networks Xidian University Xi'an China National Mobile Communications Research Lab. Southeast University Nanjing Jiangsu China School of Computer Science and Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781728181059

We propose a UAV-relayed covert communication scheme with finite blocklength to maximize the effective transmission rate from the transmitter to the legitimate receiver against a flying warden. The transmitter adopts the maximum ratio transmission and the relay performs Gaussian signaling transmission to cause uncertainty at the warden. First, the optimal detection thresholds are derived at the warden towards the transmitter and the relay, respectively. Then, the hovering location of the warden is optimized to maximize the summation of relative entropies from the transmitter and the relay, which can greatly threaten the covertness. With this worst covert situation, the blocklength and transmit power at the transmitter and the relay are jointly optimized under the constraint of the error detection probability to maximize the effective transmission rate from the transmitter to the legitimate receiver. Numerical results are provided to demonstrate the effectiveness of the proposed UAV-relayed covert communication scheme.

关键词： Uncertainty Transmitters Conferences Receivers Autonomous aerial vehicles Entropy Global communication

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A Weight-based k-prototypes Algorithm for Anomaly Detection in Smart Grid

A Weight-based k-prototypes Algorithm for Anomaly Detection ...

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IEEE International Conference on Communications (ICC)

作者： Bin Zhao Kai Fan Wei You Kan Yang Zilong Wang Hui Li State Key Laboratory of Integrated Service Networks Xidian University Xi’an China School of cyber engineering Xidian University Xi’an China Department of Computer Science University of Memphis Memphis USA

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

Anomaly detection is a typical method to find abnormal behaviors in smart grid, where the data may contain both categorical and numerical attributes with distinct significance. The k-prototypes algorithm is one of the most common algorithms for clustering mixed categorical and numerical data, however, it does not consider the significance of different attributes towards the clustering process. In this paper, we propose a weight based k-prototypes algorithm for anomaly detection in smart grid. Specifically, we first introduce an improved cost function to measure the categorical and numerical attributes uniformly and assign the weight to each attribute. We also propose two entropy metrics to calculate weight values and embed them into the k-prototypes algorithm for mixed data clustering in smart grid. Finally, we compare our proposed algorithm with existing clustering algorithms and the experimental results show that our algorithm is effective for anomaly detection in smart grid.

关键词： Clustering algorithms Entropy Smart grids Anomaly detection Cost function Measurement Prototypes

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Achieve efficient position-heap-based privacy-preserving substring-of-keyword query over cloud

arXiv

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arXiv 2021年

作者： Yin, Fan Lu, Rongxing Zheng, Yandong Shao, Jun Yang, Xue Tang, Xiaohu Information Security and National Computing Grid Laboratory Southwest Jiaotong University Chengdu611756 China Canadian Institute for Cybersecurity Faculty of Computer Science University of New Brunswick FrederictonE3B 5A3 Canada School of Computer and Information Engineering Zhejiang Gongshang University Hangzhou310018 China Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518055 China

The cloud computing technique, which was initially used to mitigate the explosive growth of data, has been required to take both data privacy and users’ query functionality into consideration. Symmetric searchable encryption (SSE) is a popular solution to supporting efficient keyword queries over encrypted data in the cloud. However, most of the existing SSE schemes focus on the exact keyword query and cannot work well when the user only remembers the substring of a keyword, i.e., substring-of-keyword query. This paper aims to investigate this issue by proposing an efficient and privacy-preserving substring-of-keyword query scheme over cloud. First, we employ the position heap technique to design a novel tree-based index to match substrings with corresponding keywords. Based on the tree-based index, we introduce our substring-of-keyword query scheme, which contains two consecutive phases. The first phase queries the keywords that match a given substring, and the second phase queries the files that match a keyword in which people are really interested. In addition, detailed security analysis and experimental results demonstrate the security and efficiency of our proposed scheme. Copyright © 2021, The Authors. All rights reserved.

关键词： Efficiency

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Backscatter-based cooperative NOMA 31

Backscatter-based cooperative NOMA

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31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020

作者： Chen, Weiyu Ding, Haiyang Wang, Shilian Da Costa, Daniel Benevides Gong, Fengkui Juliano Nardelli, Pedro Henrique National University of Defence Technology College of Electronic Science and Technology Changsha China National University of Defence Technology College of Information and Communication Xi'an China Federal University of Ceará Department of Computer Engineering Sobral CE Brazil Xidian University State Key Laboratory of Integrated Service Networks Xi'an China Lappeenranta University of Technology School of Energy Systems Lappeenranta Finland

ISBN: (纸本)9781728144900

A backscatter cooperation (BC) mechanism is pro-posed for power-domain non-orthogonal multiple access (NOMA) downlink transmission. The key idea is to enable one user to split and then backscatter part of its received signals to improve the reception at another user. To evaluate its performance, three benchmark schemes are introduced. They are non-cooperation (NC)-NOMA, conventional relaying (CR)-NOMA, and incremental relaying (IR)-NOMA. For all these schemes, the analytical expressions of the minimum total power to avoid information outage are derived, based on which their respective outage performance, expected rates, and diversity-multiplexing trade-off (DMT) are investigated. Analytical results show that the proposed BC-NOMA strictly outperforms NC-NOMA in terms of all the three metrics. Furthermore, theoretical analyses are validated via Monte-Carlo simulations. It is shown that compared with CR/IR-NOMA, only the proposed BC-NOMA scheme can enhance the transmission reliability without impairing the transmission rate. © 2020 IEEE.

关键词： Outages

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Relay and Jammer Selection Scheme in Wireless networks with the Statistical Information of Multiple Eavesdropping Channels

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Procedia computer Science 2020年 174卷 597-603页

作者： Mengling Liu Kan Yu Yajing Li Anming Dong Penghua Zhen School of Information Science and Engineering Qufu Normal University Rizhao 276826 China School of Computer Science and Engineering Shandong University of Science and Technology Qingdao 266510 China School of Computer Science and Technology Qilu University of Technology (Shandong Academy of Sciences) Jinan 250353 China Computer Science Center (National Supercomputer Center in Jinan) Shandong Provincial Key Laboratory of Computer Networks Qilu University of Technology (Shandong Academy of Sciences) Jinan 250014 China

Physical layer security (PLS) based on cooperative communication has been regarded as a promising technique to enhance the system security. In this paper, considering the statistical information of multiple eavesdropping channels, we investigate the security performance of cooperative relay and jammer selection scheme based on maximizing secrecy capacity (SC), where an optimal relay is selected to assist the source transmission, and the selected jammer is used to transmit the interference signal to suppress the eavesdroppers. Furthermore, the asymptotic expression of secrecy outage probability (SOP), a fundamental metric in the research of physical layer security, is derived. Finally, simulation results validate the security performance of the proposed scheme, and give some significant insights into the network security.

关键词： Physical layer security statistical information relay jammer selection secrecy outage probability

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An improved co-designed AES-ECC cryptosystem for secure data transmission

An improved co-designed AES-ECC cryptosystem for secure data...

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作者： Hafsa, Amal Sghaier, Anissa Zeghid, Medien Malek, Jihene Machhout, Mohsen Department of Physics Electronics and Micro-Electronics Laboratory LR99ES30 EµE Lab Faculty of Sciences Monastir University Monastir Tunisia Department of Computer Engineering and Networks College of Engineering at Wadi Addawasir Prince Sattam Bin Abdulaziz University Saudi Arabia Department of Electronics Sousse University Higher Institute of Applied Sciences and Technology LR99ES30 EµE Lab Sousse Tunisia

Asymmetric cryptography is inherently slow because of its associated complex computing, while symmetric cryptography is speedy. However, the latter is suffering from a serious gap which is secure key exchange. To deal with this problem, we suggest an efficient hybrid AES-ECC cryptosystem combining the benefits of the symmetric advanced encryption standard (AES) to speed-up data encryption and the asymmetric elliptic curve cryptography (ECC) to secure the symmetric key session interchange. The proposed hybrid AES-ECC cryptosystem uses a co-design approach and relies on AES-ECC optimisations. We fundamentally mix the matrix multiplication of the AES MixColumns with the S-box allowing for very fast software implementation (on NIOS-II processor). Then, we propose an optimised ECC hardware architecture based on López-Dahab scalar multiplication (on Cyclone IV.E). The implementation results of the proposed cryptosystem afford an interesting trade-off between area, speed, and power and can be used for information and computer security. Copyright © 2020 Inderscience Enterprises Ltd.

关键词： Storms

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Impact of Array Orientations on Degrees of Freedom for Continuous Aperture Arrays (CAPA)

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IEEE Wireless Communications Letters 2025年

作者： Guo, Yunhui Zhang, Yang Wang, Zhaolin Shang, Minghao Chen, Yijian Liu, Yuanwei Xidian University State Key Laboratory of Integrated Service Networks Xi’an710071 China Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom ZTE Corporation Algorithm Department Shenzhen518057 China The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Kyung Hee University Department of Electronic Engineering Gyeonggi-do Yongin-si17104 Korea Republic of

Continuous aperture arrays (CAPA) revolutionize conventional multiple-input multiple-output (MIMO) systems by leveraging spatially continuous electromagnetic surfaces to enhance degrees of freedom (DoFs). In this paper, the impact of array orientations on near-field DoFs in CAPA plane-based system over the scalar Green’s function channel is first characterized. Additionally, a comprehensive comparison of the derived near-field DoFs with the conventional far-field uniform plane wave (UPW)-based counterpart is provided. Subsequently, the impact of multi-polarization effect on DoFs performance is further explored. Specifically, the DoFs for the CAPA plane-based system over the dyadic Green’s function-based channel are derived by incorporating the triple-polarized auto-correlation kernel function. Numerical results validate that 1) array orientations significantly impact near-field DoFs, and that the DoFs in uni-polarized planar CAPA can be enhanced via appropriately designing array orientations and apertures, 2) the incorporation of full polarization in the dyadic Green’s function-based channel leads to a notable enhancement in DoFs performance in comparison to that of the scalar Green’s function channel. © 2012 IEEE.

关键词： Continuous aperture array (CAPA) near-field communications spatial degrees of freedom

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Adapting ClusTree for more challenging data stream environments

Adapting ClusTree for more challenging data stream environme...

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作者： Zgraja, Jakub Moulton, Richard Hugh Gama, João Kasprzak, Andrzej Woźniak, Michal Department of Systems and Computer Networks Wroclaw University of Science and Technology Wroclaw Poland Department of Electrical and Computer Engineering Queen's University KingstonON Canada Laboratory of Artificial Intelligence and Decision Support and Faculty of Economics University of Porto Porto Portugal

Data stream mining seeks to extract useful information from quickly-arriving, infinitely-sized and evolving data streams. Although these challenges have been addressed throughout the literature, none of them can be considered 'solved.' We contribute to closing this gap for the task of data stream clustering by proposing two modifications to the well-known ClusTree data stream clustering algorithm: pruning unused branches and detecting concept drift. Our experimental results show the difficulty in tackling these aspects of data stream mining and the sensitivity of stream mining algorithms to parameter values. We conclude that further research is required to better equip stream learners for the data stream clustering task. © 2019 - IOS Press and the authors. All rights reserved.

关键词： Clustering algorithms

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Massive MIMO

Massive MIMO

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2022 IEEE Future networks World Forum (FNWF)

作者： Haijian Sun Chris Ng Yiming Huo Rose Qingyang Hu Ning Wang Chi-Ming Chen Kasturi Vasudevan Jin Yang Webert Montlouis Dauda Ayanda Kumar Vijay Mishra Kürşat Tekbıyık Nasir Hussain Harish Kumar Sahoo Yang Miao Department of Computer Science University of Wisconsin Whitewater IEEE Future Networks Massive MIMO Working Group University of Victoria Utah State University Zhengzhou University AT&T IEEE IIT KANPUR Verizon Communications Inc. Johns Hopkins University University of KwaZulu-Natal South Africa United States CCDC Army Research Laboratory Department of Electronics and Communication Engineering Istanbul Technical University Samsung Electronics America Veer Surendra Sai University of Technology India University of Twente The Netherlands

The use of a large number of antenna elements, known as Massive MIMO, is seen as a key enabling technology in the 5G and Beyond wireless ecosystem. The intelligent use of a multitude of antenna elements unleashes unprecedented flexibility and control on the physical channel of the wireless medium. Through Massive MIMO and other techniques, it is envisioned that the 5G and beyond wireless system will be able to support high throughput, high reliability (low bit-error-rate (BER)), high energy efficiency, low latency, and an Internet-scale number of connected devices. Massive MIMO and related technologies will be deployed in the mid-band (sub 6 GHz) for coverage, all the way to mmWave bands to support large channel bandwidths. It is envisioned that Massive MIMO will be deployed in different environments: Frequency Division Duplex (FDD), (Time Division Duplex (TDD), indoor/outdoor, small cell, macro cell, and other heterogeneous networks (HetNet) configurations. Accurate and useful channel estimation remains a challenge in the efficient adoption of Massive MIMO techniques, and different performance-complexity tradeoffs may be supported by different Massive MIMO architectures such as digital, analog, and/or digital/analog hybrid. Carrier frequency offset (CFO), which arises due to the relative motion between the transmitter and receiver, is another important topic. Recently, maximum likelihood (ML) methods of CFO estimation have been proposed, that achieve very low root mean square (RMS) estimation errors, with a large scope for parallel processing and well suited for application with turbo codes. Massive MIMO opens up a whole new dimension of parameters where the wireless applications or other network layers may control or influence the operation and performance of the physical wireless channel. To fully reap the benefits of such flexibility, the latest advances in artificial intelligence (AI) and machine learning (ML) techniques will be leveraged to monitor and optimiz

关键词： Wireless communication Maximum likelihood estimation 5G mobile communication Microprocessors Channel estimation Massive MIMO computer architecture

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反向连边在大型分层网络中的影响（英文）

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engineering 2024年第5期 240-249页

作者：曹浩森胡斌斌莫小雨陈都鑫高建喜袁烨陈关荣 Tamás Vicsek 管晓宏张海涛 MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Artificial Intelligence and Automation Huazhong University of Science and Technology School of Mechanical and Aerospace Engineering Nanyang Technological University Jiangsu Key Laboratory of Networked Collective Intelligence School of Mathematics Southeast University Department of Computer Science Rensselaer Polytechnic Institute Department of Electronic Engineering City University of Hong Kong Department of Biological Physics E?tv?s University MOE Key Laboratory for Intelligent Networks and Network Security School of Automation Science and Engineering Xi'an Jiaotong University

Hierarchical networks are frequently encountered in animal groups, gene networks, and artificial engineering systems such as multiple robots, unmanned vehicle systems, smart grids, wind farm networks,and so forth. The structure of a large directed hierarchical network is often strongly influenced by reverse edges from lower-to higher-level nodes, such as lagging birds' howl in a flock or the opinions of lowerlevel individuals feeding back to higher-level ones in a social group. This study reveals that, for most large-scale real hierarchical networks, the majority of the reverse edges do not affect the synchronization process of the entire network; the synchronization process is influenced only by a small part of these reverse edges along specific paths. More surprisingly, a single effective reverse edge can slow down the synchronization of a huge hierarchical network by over 60%. The effect of such edges depends not on the network size but only on the average in-degree of the involved subnetwork. The overwhelming majority of active reverse edges turn out to have some kind of ‘‘bunchingo effect on the information flows of hierarchical networks, which slows down synchronization processes. This finding refines the current understanding of the role of reverse edges in many natural, social, and engineering hierarchical networks,which might be beneficial for precisely tuning the synchronization rhythms of these networks. Our study also proposes an effective way to attack a hierarchical network by adding a malicious reverse edge to it and provides some guidance for protecting a network by screening out the specific small proportion of vulnerable nodes.

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