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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Xiaobo Ma Jian Qu Jianfeng Li John C.S. Lui Zhenhua Li Xiaohong Guan MOE Key Lab for Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an China Department of Computer Science & Engineering The Chinese University of Hong Kong Hong Kong School of Software Tsinghua University Beijing China

ISBN: (数字)9781728164120

ISBN: (纸本)9781728164137

With the popularization of Internet of Things (IoT) devices in smart home and industry fields, a huge number of IoT devices are connected to the Internet. However, what devices are connected to a network may not be known by the Internet Service Provider (ISP), since many IoT devices are placed within small networks (e.g., home networks) and are hidden behind network address translation (NAT). Without pinpointing IoT devices in a network, it is unlikely for the ISP to appropriately configure security policies and effectively manage the network. In this paper, we design an efficient and scalable system via spatial-temporal traffic fingerprinting. Our system can accurately identify typical IoT devices in a network, with the additional capability of identifying what devices are hidden behind NAT and how many they are. Through extensive evaluation, we demonstrate that the system can generally identify IoT devices with an F-Score above 0.999, and estimate the number of the same type of IoT device behind NAT with an average error below 5%. We also perform small-scale (labor-intensive) experiments to show that our system is promising in detecting user-IoT interactions.

关键词： Cameras Internet of Things Feature extraction Security Object recognition IP networks Plugs

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Nonstationary Jammer Excision Based on Sparse Reconstruction and Support Vector Regression

Nonstationary Jammer Excision Based on Sparse Reconstruction...

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Ubiquitous Communication (Ucom), International Conference on

作者： Jiangbo Si Zeyu Wang Hang Hu Naofal Al-Dhahir Xidian University Xi'an China Integrated Service Networks Lab Xidian University Xi'an China Air Force Engineering University Xi'an China The University of Texas at Dalla Richardson USA Department of Electrical and Computer Engineering The University of Texas at Dalla Richardson TX USA

ISBN: (数字)9798350374216

ISBN: (纸本)9798350374223

As a typical jammer type, nonstationary jammers degrade the wideband communications and navigation signal performance significantly. Moreover, due to the channel fluc-tuations and receiver movement some received signal samples can be missing. For this scenario, traditional anti-jamming algorithms do not work well. We propose a novel jammer excision algorithm, which uses both model and data driven methods to realize jammer excision. Specifically, the nonstationary jammer signal is reconstructed by exploiting the jammer sparsity in the time-frequency domain. Then, support vector regression (SVR) is used to ‘clean’ and correct the imperfectly reconstructed jammer. Finally, a waveform projection technique is applied to eliminate the nonstationary jammer effect on the communication or navigation signal. Simulations results show the efficacy of our proposed algorithm.

关键词： Support vector machines Time-frequency analysis Navigation Simulation Receivers Data models Jamming Wideband

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Routing in All-Optical LEO Constellations with High-Altitude Ground Stations

Routing in All-Optical LEO Constellations with High-Altitude...

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Communications and Networking (MECOM), IEEE Middle East Conference on

作者： Benoit Coeugnet Pablo G. Madoery Juan A. Fraire Jorge M. Finochietto Halim Yanikomeroglu Department of Systems and Computer Engineering Non-Terrestrial Networks Lab Carleton University Ottawa Canada Inria INSA Lyon CITI UR3720 Villeurbanne France CONICET Universidad Nacional de Cordoba Cordoba Argentina

ISBN: (数字)9798350376715

ISBN: (纸本)9798350376722

The recent proliferation of non-terrestrial networks (NTNs) utilizing low Earth orbit (LEO) satellites and high-altitude platform stations (HAPS) has garnered significant attention. Establishing an all-optical network in LEO constellations has been explored, leveraging HAPS used as high-altitude ground stations (HAGS) in conjunction with traditional ground stations (GS). This approach is appealing for Earth observation missions spanning a fully connected network between LEO satellites and a delay-tolerant stochastic partition between HAGS and GS. To address the emerging routing challenges arising from weather-related impairments, we first develop new routing solutions that mitigate these issues. Secondly, we compare the performance of our new routing solutions to the classic contact graph routing (CGR), demonstrating improved performance for NTN networks. Finally, we conclude by outlining future research directions.

关键词： Earth All-optical networks Satellites Clouds Prevention and mitigation Low earth orbit satellites Routing Robustness Optical fiber communication Meteorology

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Management of Biometric Data in a Distributed Internet Environment

Management of Biometric Data in a Distributed Internet Envir...

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IFIP/IEEE International Symposium on Integrated Network Management

作者： B. Stiller T. Bocek P. Ming F. Eyennann J. Sauerland J. Angrabeit M. Volkl J.-C. Tylka University of Zürich Zürich Switzerland ETH Zürich Computer Engineering and Networks Lab TIK Zürich Switzerland Information Systems Lab IIS University of Federal Armed Forces Munich Germany Codecasters Germany Biometronix GmbH Munich Germany

ISBN: (纸本)1424407982

This application track paper describes the key technology advances achieved through a component-based design process, meeting right on track all key requirements of management systems for biometric data, such as data protection acts, flexible user and device handling, installation, and operation functions, and grouping functionality for users and devices according to dedicated office environmental needs.

关键词： Environmental management Bioinformatics Internet Biometrics Access control Java Manufacturing Application software Paper technology Technology management

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Cooperative secure transmission by exploiting social ties in random networks

arXiv

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arXiv 2018年

作者： Wang, Hui-Ming Xu, Yiming Huang, Ke-Wen Han, Zhu Tsiftsis, Theodoros A. School of Electronics and Information Engineering Ministry of Education Key Lab for Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an Shaanxi710049 China Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States School of Engineering Nazarbayev University Astana010000 Kazakhstan

Social awareness and social ties are becoming increasingly popular with emerging mobile and handheld devices. Social trust degree describing the strength of the social ties has drawn lots of research interests in many fields in wireless communications, such as resource sharing, cooperative communication and so on. In this paper, we propose a hybrid cooperative beamforming and jamming scheme to secure communication based on the social trust degree under a stochastic geometry framework. The friendly nodes are categorized into relays and jammers according to their locations and social trust degrees with the source node. We aim to analyze the involved connection outage probability (COP) and secrecy outage probability (SOP) of the performance in the networks. To achieve this target, we propose a double Gamma ratio (DGR) approach through Gamma approximation. Based on this, the COP and SOP are tractably obtained in closed-form. We further consider the SOP in the presence of Poisson Point Process (PPP) distributed eavesdroppers and derive an upper bound. The simulation results verify our theoretical findings, and validate that the social trust degree has dramatic influences on the security performance in the networks. Copyright © 2018, The Authors. All rights reserved.

关键词： Cooperative communication

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A fast synchronization technique for DVB-H receiver using in-band pilots and cyclic prefix

A fast synchronization technique for DVB-H receiver using in...

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International Conference on Consumer Electronics, ICCE '06

作者： Wang, Xianbin Wu, Yiyan Yi, Kechu Tian, Bin Chouinard, Jean-Yves IEEE Communications Research Centre Canada Box 11490 Station H 3701 Carling Ave Ottawa Ont. K2H 8S2 Canada State Lab of Integrated Service Networks Xidian University Xi'an 710071 China Dept. of Electrical and Computer Engineering Laval University Que. G1K 7P4 Canada

ISBN: (纸本)0780394593

A new fast time synchronization technique is proposed for DVB-H receiver in this paper. Only one DVB-H OFDM symbol is needed to achieve accurate time synchronization by using the correlation function of the received signal and four timedomain local references generated from the DVB-H scattered pilots. The computation complexity of the new algorithm is further reduced by limiting the range of correlation function, which is realized by exploiting the cyclic property of the OFDIVI signal. © 2006 IEEE.

关键词： Signal receivers

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Domain Adaptation for Large-Vocabulary Object Detectors

arXiv

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arXiv 2024年

作者： Jiang, Kai Huang, Jiaxing Xie, Weiying Lei, Jie Li, Yunsong Shao, Ling Lu, Shijian State Key Laboratory of Integrated Services Networks Xidian University Xi’an710071 China S-lab School of Computer Science and Engineering Nanyang Technological University Singapore UCAS-Terminus AI Lab University of Chinese Academy of Sciences Beijing China School of Electrical and Data Engineering The University of Technology Sydney Australia

Large-vocabulary object detectors (LVDs) aim to detect objects of many categories, which learn super objectness features and can locate objects accurately while applied to various downstream data. However, LVDs often struggle in recognizing the located objects due to domain discrepancy in data distribution and object vocabulary. At the other end, recent vision-language foundation models such as CLIP demonstrate superior open-vocabulary recognition capability. This paper presents KGD, a Knowledge Graph Distillation technique that exploits the implicit knowledge graphs (KG) in CLIP for effectively adapting LVDs to various downstream domains. KGD consists of two consecutive stages: 1) KG extraction that employs CLIP to encode downstream domain data as nodes and their feature distances as edges, constructing KG that inherits the rich semantic relations in CLIP explicitly;and 2) KG encapsulation that transfers the extracted KG into LVDs to enable accurate cross-domain object classification. In addition, KGD can extract both visual and textual KG independently, providing complementary vision and language knowledge for object localization and object classification in detection tasks over various downstream domains. Experiments over multiple widely adopted detection benchmarks show that KGD outperforms the state-of-the-art consistently by large margins. Copyright © 2024, The Authors. All rights reserved.

关键词： Distillation

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Traffic Signal Control for Large-Scale Urban Traffic networks: Real-World Experiments using Vision-based Sensors

Traffic Signal Control for Large-Scale Urban Traffic Network...

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International Conference on Control and Automation (ICCA)

作者： Jiho Park Tong Liu Chieh Wang Hong Wang Qichao Wang Zhong-Ping Jiang Department of Electrical and Computer Engineering Control and Networks Lab Tandon School of Engineering New York University Brooklyn NY USA Oak Ridge National Laboratory Oak Ridge TN USA National Renewable Energy Laboratory Computational Science Center Golden CO USA

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

Effective control of traffic signals plays a critical role in ensuring smooth vehicle flow in urban areas. Expertly engineered traffic signal controllers can considerably minimize travel delays and enhance sustainability. In this paper, the team proposes the Model Predictive Control (MPC) traffic signal control strategy using real-time traffic flow data from a vision-based camera as feedback information. Also, a realistic signal timing plan that considers National Electrical Manufacturers Association (NEMA) constraints has been developed to be applied to real-world scenarios. The primary aim is to reduce the number of vehicles across all links in the controlled area, thereby optimizing traffic flow and reducing energy consumption. To validate the proposed method, several real-life experiments were conducted at 24 intersections in Chattanooga, Tennessee, by collaborating with traffic field engineers. These experiments demonstrated significant performance improvements in comparison to the existing method.

关键词： Energy consumption Urban areas Decentralized control Data processing Real-time systems Sensors Delays

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Robust Policy Iteration for Continuous-time Linear Quadratic Regulation

arXiv

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arXiv 2020年

作者： Pang, Bo Bian, Tao Jiang, Zhong-Ping Control and Networks Lab Department of Electrical and Computer Engineering Tandon School of Engineering New York University 370 Jay Street BrooklynNY11201 United States Bank of America Merrill Lynch One Bryant Park New YorkNY10036 United States

This paper studies the robustness of policy iteration in the context of continuous-time infinite-horizon linear quadratic regulation (LQR) problem. It is shown that Kleinman’s policy iteration algorithm is inherently robust to small disturbances and enjoys local input-to-state stability in the sense of Sontag. More precisely, whenever the disturbance-induced input term in each iteration is bounded and small, the solutions of the policy iteration algorithm are also bounded and enter a small neighborhood of the optimal solution of the LQR problem. Based on this result, an off-policy data-driven policy iteration algorithm for the LQR problem is shown to be robust when the system dynamics are subjected to small additive unknown bounded disturbances. The theoretical results are validated by a numerical example. Copyright © 2020, The Authors. All rights reserved.

关键词： Continuous time systems

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Generative Models for Cellular Social networks

Generative Models for Cellular Social Networks

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International Conference on Computing, Networking and Communications

作者： Deepjyoti Deka Sriram Vishwanath Lab. of Informatics Networks & Communications (LINC) Department of Electrical & Computer Engineering University of Texas at Austin

ISBN: (纸本)9781479923601

The inherent structure of a social network has a significant impact on its functioning and health. Understanding the topology can lead to better strategies to control the functioning of the network and enable rapid identification and prevention of risks such as fragmentation and spread of infection. This paper focuses on modeling and analyzing the structure of the social network associated with voice and SMS communication in a large community in Asia. It studies the topological characteristics of networks and develops a generative model for them. Based on the typical small world characteristics, large scale test systems can be developed to better study the working of new algorithms for cell-phone networks.

关键词： Cellular Social networks SMS enable rapid identification

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