Journal of Networking and Network Applications最新文献_第4页

Cloud-based XR Services: A Survey on Relevant Challenges and Enabling Technologies 基于云的XR服务:相关挑战和使能技术调查

Journal of Networking and Network Applications Pub Date : 1900-01-01 DOI: 10.33969/j-nana.2022.020101

T. Theodoropoulos, Antonios Makris, Abderrahmane Boudi, T. Taleb, U. Herzog, Luis Rosa, Luís Cordeiro, K. Tserpes, Elena Spatafora, Alessandro Romussi, E. Zschau, Manos N. Kamarianakis, Antonis I Protopsaltis, G. Papagiannakis, Patrizio Dazzi

{"title":"Cloud-based XR Services: A Survey on Relevant Challenges and Enabling Technologies","authors":"T. Theodoropoulos, Antonios Makris, Abderrahmane Boudi, T. Taleb, U. Herzog, Luis Rosa, Luís Cordeiro, K. Tserpes, Elena Spatafora, Alessandro Romussi, E. Zschau, Manos N. Kamarianakis, Antonis I Protopsaltis, G. Papagiannakis, Patrizio Dazzi","doi":"10.33969/j-nana.2022.020101","DOIUrl":"https://doi.org/10.33969/j-nana.2022.020101","url":null,"abstract":"In recent years, the emergence of XR (eXtended Reality) applications, including Holography, Augmented, Virtual and Mixed Reality, has resulted in the creation of rather demanding requirements for Quality of Experience (QoE) and Quality of Service (QoS). In order to cope with requirements such as ultra-low latency and increased bandwidth, it is of paramount importance to leverage certain technological paradigms. The purpose of this paper is to identify these QoE and QoS requirements and then to provide an extensive survey on technologies that are able to facilitate the rather demanding requirements of Cloud-based XR Services. To that end, a wide range of enabling technologies are explored. These technologies include e.g. the ETSI (European Telecommunications Standards Institute) Multi-Access Edge Computing (MEC), Edge Storage, the ETSI Management and Orchestration (MANO), the ETSI Zero touch network & Service Management (ZSM), Deterministic Networking, the 3GPP (3rd Generation Partnership Project) Media Streaming, MPEG’s (Moving Picture Experts Group) Mixed and Augmented Reality standard, the Omnidirectional MediA Format (OMAF), ETSI’s Augmented Reality Framework etc.","PeriodicalId":384373,"journal":{"name":"Journal of Networking and Network Applications","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123493020","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: 18

MTAD RF: Multivariate Time-series Anomaly Detection based on Reconstruction and Forecast MTAD RF:基于重构和预测的多变量时间序列异常检测

Journal of Networking and Network Applications Pub Date : 1900-01-01 DOI: 10.33969/j-nana.2023.030105

Kenan Qin, Mengfan Xu, Bello Ahmad Muhammad, Jing Han

{"title":"MTAD RF: Multivariate Time-series Anomaly Detection based on Reconstruction and Forecast","authors":"Kenan Qin, Mengfan Xu, Bello Ahmad Muhammad, Jing Han","doi":"10.33969/j-nana.2023.030105","DOIUrl":"https://doi.org/10.33969/j-nana.2023.030105","url":null,"abstract":"Anomaly detection in multivariate time series is an important research direction, which helps to improve the security of industrial systems by detecting abnormally unreliable devices. Multivariate time series (MTS) anomalies not only need to pay attention to the time correlation between different time series but also need to consider the abnormal changes in the relationship between different variables. Once the influence relationship between two variables that influence each other is ignored, it will likely lead to false positives or false positives. At the same time, the degree of influence between different time series or different features is also inconsistent, just like what happened recently have radically different influences on the present. Furthermore, most of the existing models are weak in detecting no abnormality. To tackle these issues, in this paper, we propose a new model of multivariate time series anomaly detection based on reconstruction and forecast, named MTAD RF. First, we capture the temporal and feature correlations of MTS through two parallel GAT layers, and at the same time distinguish the influence degree between different time series or different features based on attention coefficients. Second, we leverage the generative power of VAE and the single-step forecast power of MLP to jointly detect known and unknown anomalies based on reconstructed and predicted models. Major practical implications of the proposed approach is missing. Finally, anomalies are detected and explained based on temporal and feature anomaly scores. Experiments demonstrate that our model outperforms current state-of-the-art methods on 4 real-world datasets, with an average F1 score of about 95% and excellent anomaly diagnostic ability.","PeriodicalId":384373,"journal":{"name":"Journal of Networking and Network Applications","volume":"12 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114134243","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

Covert Communications in Satellite Internet: A Survey 卫星互联网中的秘密通信:综述

Journal of Networking and Network Applications Pub Date : 1900-01-01 DOI: 10.33969/j-nana.2022.020304

Zewei Guo, Ji He, Yuanyu Zhang, Shuangrui Zhao, Yulong Shen, Xiaohong Jiang

引用次数: 0

Spectrum Allocation for Covert Communications in Cellular-Enabled UAV Networks: A Deep Reinforcement Learning Approach 蜂窝式无人机网络隐蔽通信的频谱分配:一种深度强化学习方法

Journal of Networking and Network Applications Pub Date : 1900-01-01 DOI: 10.33969/j-nana.2022.020302

Xinzhe Pi, Bin Yang

引用次数: 0

Optimizing YOLOv5 algorithm for Mask-wearing Detection 基于YOLOv5算法的口罩检测优化

Journal of Networking and Network Applications Pub Date : 1900-01-01 DOI: 10.33969/j-nana.2023.030201

Yang Fan, Wu Wang

引用次数: 0

A Study on IRS-assisted Communications: Problems, Challenges, and Solutions irs辅助通信研究:问题、挑战和解决方案

Journal of Networking and Network Applications Pub Date : 1900-01-01 DOI: 10.33969/j-nana.2022.020401

Yuyan Liu, Haoran Mei

引用次数: 0

Age of information: in Systems with Multi-source, Limited Buffers, and LCFS-S 信息时代:多源、有限缓冲区和LCFS-S系统

Journal of Networking and Network Applications Pub Date : 1900-01-01 DOI: 10.33969/j-nana.2023.030104

Kangrui Li, Xiang Ji, Zicong Huang, Shujie Yang

引用次数: 0

A Least Significant Bit Steganographic Method Using Hough Transform Technique 一种基于霍夫变换的最小有效位隐写方法

Journal of Networking and Network Applications Pub Date : 1900-01-01 DOI: 10.33969/j-nana.2023.030203

D. Nashat, Loay Mamdouh

{"title":"A Least Significant Bit Steganographic Method Using Hough Transform Technique","authors":"D. Nashat, Loay Mamdouh","doi":"10.33969/j-nana.2023.030203","DOIUrl":"https://doi.org/10.33969/j-nana.2023.030203","url":null,"abstract":"Steganography is a data-hiding scientific branch that aims to hide secret data in an image, video, or audio. Image steganography methods try to embed a large amount of data into images with high imperceptibility. However, increasing the number of embedded data in the image decreases its quality. Therefore, in this paper, a new method based on Least Significant Bit (LSB) using Hough Transform is proposed to improve the stego image quality with increasing the amount of embedded data. The LSB is the common embedding steganography method due to its simplicity of implementation and low complexity. The proposed method inverts the LSBs of image pixels to enhance the quality of stego image. First, improved edge detection filter is used to detect edges areas. Then, we invert LSBs for the pixel in edge area pixels. Finally, the LSBs smooth area pixels of the cover image are inverted. The performance of the presented method is evaluated for the stego image quality and the amount of embedded data. The results show that the new method has better performance in comparison with the current methods in terms of Peak Signal-to-Noise Ratio (PSNR) and capacity.","PeriodicalId":384373,"journal":{"name":"Journal of Networking and Network Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133666845","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

Detection of Distributed Denial of Service Flooding Attack Using Odds Ratio 基于比值比的分布式拒绝服务洪水攻击检测

Journal of Networking and Network Applications Pub Date : 1900-01-01 DOI: 10.33969/j-nana.2021.010204

D. Nashat, Fatma A. Hussain, Xiaohong Jiang

引用次数: 1

ReSQ: Reinforcement Learning-Based Queue Allocation in Software-Defined Queuing Framework 软件定义队列框架中基于强化学习的队列分配

Journal of Networking and Network Applications Pub Date : 1900-01-01 DOI: 10.33969/j-nana.2022.020402

Ilora Maity, T. Taleb

{"title":"ReSQ: Reinforcement Learning-Based Queue Allocation in Software-Defined Queuing Framework","authors":"Ilora Maity, T. Taleb","doi":"10.33969/j-nana.2022.020402","DOIUrl":"https://doi.org/10.33969/j-nana.2022.020402","url":null,"abstract":"With the evolution of 5G networks, the demand for Ultra-Reliable Low Latency Communications (URLLC) services is increasing. Software-Defined Networking (SDN) offers flexible network management to prioritize URLLC services coexisting with best-effort traffic. Utilizing the network programmability feature of SDN, Software-Defined Queueing (SDQ) framework selects the optimal output port queue on forwarding devices and routing path for incoming traffic flows to provide deterministic Quality of Service (QoS) support required for URLLC traffic. However, in the existing SDQ framework, the selections of optimal queue and path are done manually by observing the traffic type of each incoming flow, the available bandwidth of each potential routing path, and the status of output port queues of each forwarding device on each potential routing path. The static allocations of path and queue for each flow are inefficient to provide a deterministic QoS guarantee for a high volume of incoming traffic which is typical in 5G networks. The limited buffer availability on the forwarding devices is another constraint regarding optimal queue allocation that ensures an end-to-end (E2E) delay guarantee. To address these challenges, in this paper, we extend the SDQ framework by automating queue management with a reinforcement learning (RL)-based approach. The proposed queue management approach considers diverse QoS demands as well as a limited buffer on the forwarding devices and performs prioritized queue allocation. Our approach also includes a hash-based flow grouping to handle a high volume of traffic having diverse latency demands and a path selection mechanism based on available bandwidth and hop count. The simulation result shows that the proposed scheme ReSQ reduces the QoS violation ratio by 10.45% as compared to the baseline scheme that selects queues randomly.","PeriodicalId":384373,"journal":{"name":"Journal of Networking and Network Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133570456","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