GLOBECOM 2022 - 2022 IEEE Global Communications Conference最新文献_第7页

Big Data-Based Meta-Learner Generation for Fast Adaptation of Few-Shot Learning in Wireless Networks 基于大数据的元学习者生成与无线网络中短时学习的快速适应

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000982

Kexin Xiong, Yao Wei, Wei-ming Hong, Zhongyuan Zhao

引用次数: 0

TDL-IDS: Towards A Transfer Deep Learning based Intrusion Detection System 基于迁移深度学习的入侵检测系统

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001267

X. Sun, W. Meng, Wei-Yang Chiu, Brooke Lampe

{"title":"TDL-IDS: Towards A Transfer Deep Learning based Intrusion Detection System","authors":"X. Sun, W. Meng, Wei-Yang Chiu, Brooke Lampe","doi":"10.1109/GLOBECOM48099.2022.10001267","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001267","url":null,"abstract":"With the development of Internet of Things (IoT), network security has become very important as cyber-attackers can easily compromise such distributed networks and systems. An intrusion detection system (IDS) is a basic and essential security mechanism to detect malicious traffic. In the literature, in addition to traditional machine learning algorithms, many deep learning schemes have been examined to enhance the detection performance. However, insufficient amounts of labeled samples are still a challenge for real-world implementation, especially in some scenarios such as smart home and Internet of Vehicles. To address this issue, we explore transfer learning as a promising solution. In this work, we develop TDL-IDS, a transfer deep learning based IDS that can work with limited labeled data items. Our approach first uses Long Short Term Memory (LSTM) to train a model on the source domain and then leverages transfer learning to continue the training process on the target domain. In the evaluation, we use NSL-KDD as the source domain, and AWID as the target domain. Our results indicate that TDL-IDS can outperform many similar approaches.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115925798","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: 3

Zen-tor: A Zero Knowledge Known-Unknown Traffic Classification Method Zen-tor:一种零知识已知-未知流量分类方法

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001652

Yizhe Gu, Y. Lai, Yipeng Wang

引用次数: 0

Energy-Efficient Solutions in Two-user Downlink NOMA Systems Aided by Ambient Backscattering 环境后向散射辅助下双用户下行NOMA系统的节能解决方案

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001031

H. Hassani, Anne Savard, E. Belmega, R. D. Lamare

{"title":"Energy-Efficient Solutions in Two-user Downlink NOMA Systems Aided by Ambient Backscattering","authors":"H. Hassani, Anne Savard, E. Belmega, R. D. Lamare","doi":"10.1109/GLOBECOM48099.2022.10001031","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001031","url":null,"abstract":"In this paper, the energy efficiency of a two-user downlink NOMA system aided by several ambient backscatter devices is investigated. We analyze both the tradeoff and the ratio between achievable rates versus power consumption, assuming that the backscatter devices are in fully cooperative mode. In the case of two backscatter devices, we derive a closed-form solution in terms of the optimal reflection coefficients and power allocation policy by exploiting the properties of the energy-efficiency objective and the Pareto boundary of the feasible set. For more than two backscatter devices, the problem becomes difficult and our methodology cannot be extended easily. Nevertheless, we evaluate the performance of NOMA aided by several (up to four) backscatter devices via numerical simulations. Our numerical results show that the energy efficiency of the two-user NOMA system increases with the number of cooperative backscatter devices. Moreover, in the high noise regime, the relative efficiency gain increases with the number of backscatter devices reaching up to 370 % compared to conventional NOMA.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"66 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132335654","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

False Data Injection Attacks against Low Voltage Distribution Systems 针对低压配电系统的虚假数据注入攻击

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000880

Panagiotis I. Radoglou-Grammatikis, Christos Dalamagkas, T. Lagkas, Magda Zafeiropoulou, Maria Atanasova, Pencho Zlatev, Alexandros-Apostolos A. Boulogeorgos, V. Argyriou, E. Markakis, I. Moscholios, P. Sarigiannidis

{"title":"False Data Injection Attacks against Low Voltage Distribution Systems","authors":"Panagiotis I. Radoglou-Grammatikis, Christos Dalamagkas, T. Lagkas, Magda Zafeiropoulou, Maria Atanasova, Pencho Zlatev, Alexandros-Apostolos A. Boulogeorgos, V. Argyriou, E. Markakis, I. Moscholios, P. Sarigiannidis","doi":"10.1109/GLOBECOM48099.2022.10000880","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10000880","url":null,"abstract":"The transformation of the conventional electrical grid into a digital ecosystem brings significant benefits, such as two-way communication between energy consumers and utilities, self-monitoring and pervasive controls. However, the advent of the smart electrical grid raises severe cybersecurity and privacy concerns, given the presence of legacy systems and communications protocols. This paper focuses on False Data Injection (FDI) cyberattacks against a low-voltage distribution system, taking full advantage of Man In The Middle (MITM) actions. The first cyberattack targets the communication between a smart meter and an Active Distribution Management System (ADMS), while the second FDI cyberattack targets the communication between a smart inverter and ADMS. In both cases, the cyberattacks affect the operation of the distribution transformer, thus resulting in devastating consequences. Moreover, this paper provides an Artificial Intelligence (AI)-based Intrusion Detection System (IDS), detecting and mitigating the above cyberattacks in a timely manner. The evaluation results demonstrate the efficiency of the proposed IDS.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132475963","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 Dynamic Multicast Tree Selection Algorithm in LEO Satellite Networks 低轨道卫星网络中的动态组播树选择算法

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000887

K. Zheng, J. Sheu

引用次数: 0

Frequency Diverse Array Spatial Data Focusing for High Precision Range-angle-based Geocasting 高精度距离角地理投影的变频阵列空间数据聚焦

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001165

Guylian Molineaux, F. Horlin, P. D. Doncker, J. Sarrazin

{"title":"Frequency Diverse Array Spatial Data Focusing for High Precision Range-angle-based Geocasting","authors":"Guylian Molineaux, F. Horlin, P. D. Doncker, J. Sarrazin","doi":"10.1109/GLOBECOM48099.2022.10001165","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001165","url":null,"abstract":"A unified frequency diverse array (FDA) and spatial data focusing (SDF) system, or FDA-SDF, is proposed as a novel approach to perform spatially confined broadcasting of information, i.e. geocasting. It is shown that SDF processing exploits FDA range-angle-dependency more effectively than conventional power focusing implementations, resulting in improved spatial focusing precision and reduced array size. Additionally, the time-variance flaw in conventional FDAs is addressed and mitigated by introducing a generalized baseband FDA model. This paper describes the FDA-SDF system model in free space, including dedicated SDF precoding, beamsteering, and equalization, exploiting FDA multi-frequency transmission for 2-dimensional range-angle-based time-invariant geocasting. Simulations of the FDA-SDF system illustrate compatibility with conventional FDA frequency offset schemes and highlight degrees of freedom for geocast delivery zone manipulation. Finally, FDA-SDF's superior spatial precision is demonstrated: a 3-antenna FDA-SDF setup matches the radial and angular precision of a conventional FDA using, respectively, 13 and 23 antennas.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134060840","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: 1

A high-precision frequency estimation method for CEI signals of high-orbit satellites 高轨道卫星CEI信号的高精度频率估计方法

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000631

Zefu Gao, Yiwen Jiao, Fei Teng, Feilong Mao, Chao Li, Yuxin Wang, Y. Si, Ruiyi Liu

引用次数: 1

Subjective Quality of Experience Assessment in Mobile Cloud Games 移动云游戏的主观体验质量评价

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001407

H. S. Rossi, Niclas Ögren, Karan Mitra, Irina Cotanis, C. Åhlund, Per Johansson

引用次数: 1

AI-Enabled Jammer Deception Using Decoy Packets 使用诱饵数据包的ai启用干扰器欺骗

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001651

Stephan D. Frisbie, M. Younis

{"title":"AI-Enabled Jammer Deception Using Decoy Packets","authors":"Stephan D. Frisbie, M. Younis","doi":"10.1109/GLOBECOM48099.2022.10001651","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001651","url":null,"abstract":"In this work, we present a learning algorithm for a wireless communications network to transmit decoy packets to counter an adversarial sensing-reactive jammer. As the jammer is required to search across channels for data transmissions, decoy packets can have the effect of stalling the jammer on a particular channel, preventing it from continuing its search and leaving legitimate packets unimpeded. A reinforcement learning algorithm trains a deep neural network with an exploration-exploitation algorithm and experience replay. The state- and action-space and reward function are presented as components of the reinforcement learning framework. Our algorithm is tested with software simulations, modeling ZigBee communications nodes using time-division multiple access for medium access control. A reactive jammer is modeled in the simulation, with the goal of disrupting any detected ZigBee transmissions. A means to measure and distribute the reward function and system state to enable edge-learning in this context is presented as part of the implementation. The results demonstrate the effectiveness of our algorithm in mitigating the jamming attack, outperforming a random decoy strategy by a factor of two.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133860923","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