2021 IEEE Globecom Workshops (GC Wkshps)最新文献_第4页

Intentional Islanding of Power Systems Through Self-Embedding Learning 基于自嵌入学习的电力系统有意孤岛

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682069

Zhonglin Sun, Yannis Spyridis, Achilleas Sesis, G. Efstathopoulos, Elisavet Grigoriou, T. Lagkas, P. Sarigiannidis

引用次数: 1

Detecting Attackers during Quantum Key Distribution in IoT Networks using Neural Networks 利用神经网络检测物联网量子密钥分发过程中的攻击者

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9681988

H. A. Al-Mohammed, A. Al-Ali, E. Yaacoub, K. Abualsaud, T. Khattab

引用次数: 3

Modeling a Sliding Window Decoder for Spatially Coupled LDPC Codes 空间耦合LDPC码的滑动窗解码器建模

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682064

Min Zhu, David G. M. Mitchell, M. Lentmaier, D. Costello

引用次数: 1

Secrecy Degradation for Inevitable Phase Noise in Artificial Noise Shielded FH Systems 人工噪声屏蔽跳频系统中不可避免相位噪声的保密性退化

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682033

Changqing Song, Lizhi Qin, Hongzhi Zhao, S. Shao, Youxi Tang

引用次数: 2

Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case 综合射频数据集收集和发布:基于深度学习的设备指纹用例

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682024

Abdurrahman Elmaghbub, B. Hamdaoui

{"title":"Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case","authors":"Abdurrahman Elmaghbub, B. Hamdaoui","doi":"10.1109/GCWkshps52748.2021.9682024","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682024","url":null,"abstract":"Deep learning-based RF fingerprinting has recently been recognized as a potential solution tor enabling newly emerging wireless network applications, such as spectrum access policy enforcement, automated network device authentication, and unauthorized network access monitoring and control. Real, comprehensive RF datasets are now needed more than ever to enable the study, assessment, and validation of newly developed RF fingerprinting approaches. In this paper, we present nod release a large-scale RF fingerprinting dataset, collected from 25 different LoRa-enabled IoT transmitting devices using USRP B210 receivers. Our dataset consists of a large number of SigMF- compliant binary files representing the I/Q time-domain samples and their corresponding FFT-based files of LoRa transmissions. This dataset provides a comprehensive set of essential experimental scenarios, considering both indoor and outdoor environments and various network deployments and configurations, such as the distance between the transmitters and the receiver, the configuration of the considered LoRa modulation, the physical location of the conducted experiment, and the receiver hardware used for training and testing the neural network models.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"4 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90282644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Symbol-Level Precoding and Passive Beamforming Design for IRS-Aided Cognitive Radio Networks irs辅助认知无线网络的符号级预编码和无源波束形成设计

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9681951

Guangyang Zhang, Chao Shen, B. Ai, Z. Zhong

{"title":"Symbol-Level Precoding and Passive Beamforming Design for IRS-Aided Cognitive Radio Networks","authors":"Guangyang Zhang, Chao Shen, B. Ai, Z. Zhong","doi":"10.1109/GCWkshps52748.2021.9681951","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9681951","url":null,"abstract":"In this paper, we consider a joint beamforming design in a cognitive radio (CR) network aided with an intelligent reflecting surface (IRS) panel. The symbol-level precoding (SLP) is adopted at the base station to enhance the symbol error rate (SER) performance of the network. The joint beamforming design is formulated as a nonconvex optimization problem to achieve max-min fairness in the secondary network subject to the interference temperature constraints, the maximum power constraint, and the constant modulus constraints over the passive beamformer. To solve this problem with the coupling between variables, we propose an algorithm based on the alternating optimization (AO) technique, and then two subproblems can be obtained to optimize the transmit and passive beamformers alternately. Specifically, a penalized successive convex approximation (P-SCA) method is developed to optimize the passive beamformer. The simulation results demonstrate that the SLP technique can further enhance the system performance in terms of signal-to-interference-plus-noise ratio (SINR) compared with the conventional block-level precoding.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85661166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Security Performance Analysis of a Health System using Hybrid NOMA-OMA based IoT System 基于混合NOMA-OMA物联网系统的卫生系统安全性能分析

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682100

H. Chamkhia, A. Erbad, A. Al-Ali, Amr Mohamed, A. Refaey, M. Guizani

{"title":"Security Performance Analysis of a Health System using Hybrid NOMA-OMA based IoT System","authors":"H. Chamkhia, A. Erbad, A. Al-Ali, Amr Mohamed, A. Refaey, M. Guizani","doi":"10.1109/GCWkshps52748.2021.9682100","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682100","url":null,"abstract":"Internet of Things (IoT) systems have been playing a significant role in improving the quality of various applications and services. With the expansion increase of loT devices and users, different Multiple Access (MA) techniques have been proposed to overcome the spectrum scarcity and the high latency. However, in MA-based loT systems, communication is not only threatened by external eavesdroppers but also by untrusted internal users. Therefore, proposing secured MA-based loT systems is of high importance. This paper proposes a hybrid Non Orthogonal Multiple Access (NOMA) I Orthogonal Multiple Access (OMA)-based loT system to improve the data transmission security. The proposed scheme exploits the advantages of the two different MA techniques as well as the Physical Layer Security (PLS). We first describe the system model and then we detail the proposed scheme and the relevant performance analysis. Finally, our simulation results verify the accuracy of the derived expressions and evaluate the advantage of the proposed scheme, when compared to the pure NOMA and pure OMA-based loT systems.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"16 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74023980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT 基于椭圆曲线加密和物联网模糊逻辑的智能电子医疗鲁棒协议

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682030

Abderrazak Abdaoui, A. Erbad, A. Al-Ali, Amr Mohamed, M. Guizani

{"title":"A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT","authors":"Abderrazak Abdaoui, A. Erbad, A. Al-Ali, Amr Mohamed, M. Guizani","doi":"10.1109/GCWkshps52748.2021.9682030","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682030","url":null,"abstract":"Emerging technologies change the qualities of modern healthcare by employing smart systems for patient monitoring. To well use the data surrounding the patient, tiny sensing devices and smart gateways are involved. These sensing systems have been used to collect and analyze the real-time data remotely in Internet of Medical Thinks (IoM). Since the patient sensed information is so sensitive, the security and privacy of medical data are becoming challenging problem in IoM. It is then important to ensure the security, privacy and integrity of the transmitted data by designing a secure and a lightweight authentication protocol for the IoM. In this paper, in order to improve the authentication and communications in health care applications, we present a novel secure and anonymous authentication scheme. We will use elliptic curve cryptography (ECC) with random numbers generated by fuzzy logic. We simulate IoM scheme using network simulator 3 (NS3) and we employ optimized link state routing protocol (OLSR) algorithm and ECC at each node of the network. We apply some attack algorithms such as Pollard’s ρ and Baby-step Giant-step to evaluate the vulnerability of the proposed scheme.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"65 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75038959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Particle Swarm Optimized Federated Learning For Securing IoT Devices 粒子群优化联邦学习保护物联网设备

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9681946

P. Kishore, S. Barisal, D. Mohapatra

{"title":"Particle Swarm Optimized Federated Learning For Securing IoT Devices","authors":"P. Kishore, S. Barisal, D. Mohapatra","doi":"10.1109/GCWkshps52748.2021.9681946","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9681946","url":null,"abstract":"Federated learning (FL) focuses on interpreting optimization, privacy, and communication but pays little consideration to enhance training and results on the edge devices. The major challenge on these Internet of Things (IoT) devices is efficient training and inference. Another considerable challenge is securing IoT devices for a long time. This paper resolves it by selecting appropriate parameters for building a local machine learning or deep learning (ML/DL) model. Appropriate parameters will make the model's training less computationally expensive and secure the edge or IoT device. So, we propose a particle swarm optimization (PSO) method to optimize the hyper-parameter environments for the bounded DL model in an FL environment. First, we select the 2-gram represented Application Programming Interface (API) calls of the malicious and benign instances for the dataset's feature. Then, API calls of the sample are represented using 2-gram, and their frequency fills the dataset's rows. Later, we represent the sample's feature in a grayscale image and apply the LeNet-5 model. Our experiment indicates that PSO efficiently tunes the hyperparameters of LeNet-5 compared to the grid search method. The near-optimal parameters for FL do not affect the model's accuracy.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"60 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75119705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ergodic Capacity Analysis of Large Intelligent Surface Assisted MIMO Systems 大型智能表面辅助MIMO系统的遍历容量分析

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682121

Marjan Abbasi Mosleh, F. Héliot, R. Tafazolli

引用次数: 2