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2021 IEEE 46th Conference on Local Computer Networks (LCN)最新文献

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MonGNN: A neuroevolutionary-based solution for 5G network slices monitoring MonGNN:基于神经进化的5G网络切片监测解决方案
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-04 DOI: 10.1109/LCN52139.2021.9524880
Anouar Rkhami, Y. H. Aoul, G. Rubino, A. Outtagarts
{"title":"MonGNN: A neuroevolutionary-based solution for 5G network slices monitoring","authors":"Anouar Rkhami, Y. H. Aoul, G. Rubino, A. Outtagarts","doi":"10.1109/LCN52139.2021.9524880","DOIUrl":"https://doi.org/10.1109/LCN52139.2021.9524880","url":null,"abstract":"Monitoring the status of network slices is a priority for network operators to ensure that SLAs are not violated. To overcome the limitations of direct slices’ monitoring, network tomography (NT) is seen as a promising solution. NT-based solutions require constraining monitoring traffic to follow specific paths, which we can achieve by using segment-based routing (SR). This allows deploying customized probing scheme, such as cycles’ probing. A major challenge with SR is, however, the limited length of the monitoring path. In this paper, we focus on the complexity of that task and propose MonGNN, a standalone solution based on Graph Neural Networks (GNNs) and genetic algorithms to find a trade-off between the quality of monitors’ placement and the cost to achieve it. Simulation results show the efficiency of our approach compared to existing methods.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128116201","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
Mobility-aware COVID-19 Case Prediction using Cellular Network Logs 基于蜂窝网络日志的移动感知COVID-19病例预测
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-04 DOI: 10.1109/lcn52139.2021.9525023
Necati A. Ayan, Sushil Chaskar, A. Seetharam, Arti Ramesh, A. A. D. A. Rocha
{"title":"Mobility-aware COVID-19 Case Prediction using Cellular Network Logs","authors":"Necati A. Ayan, Sushil Chaskar, A. Seetharam, Arti Ramesh, A. A. D. A. Rocha","doi":"10.1109/lcn52139.2021.9525023","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9525023","url":null,"abstract":"In this paper, our goal is to model the aggregate mobility of individuals in a city by analyzing cellular network connections, and then leverage the designed mobility model to model and predict the number of COVID-19 infections in future. We analyze cellular network connections from 973 antennas for all users in the city of Rio de Janeiro from April 5, 2020 to July 2, 2020. We design a Markovian model that captures the mobility across municipalities. We then combine the transition probabilities of the Markov chain with the number of COVID-19 cases in a municipality during a particular week in the design of our mobility-aware COVID-19 case prediction models to predict the number of cases for the following week. Our experiments demonstrate that our mobility-aware models significantly out-perform a baseline mobility-agnostic linear regression model in terms of metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE).","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132933822","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: 2
A Distributed Delivery Architecture for User Generated Content Live Streaming over HTTP 基于HTTP的用户生成内容流的分布式交付体系结构
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-04 DOI: 10.1109/lcn52139.2021.9525027
F. Tashtarian, A. Bentaleb, Reza Farahani, Minh Nguyen, C. Timmerer, H. Hellwagner, Roger Zimmermann
{"title":"A Distributed Delivery Architecture for User Generated Content Live Streaming over HTTP","authors":"F. Tashtarian, A. Bentaleb, Reza Farahani, Minh Nguyen, C. Timmerer, H. Hellwagner, Roger Zimmermann","doi":"10.1109/lcn52139.2021.9525027","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9525027","url":null,"abstract":"Live User Generated Content (UGC) has become very popular in today’s video streaming applications, in particular with gaming and e-sport. However, streaming UGC presents unique challenges for video delivery. When dealing with the technical complexity of managing hundreds or thousands of concurrent streams that are geographically distributed, UGC systems are forces to made difficult trade-offs with video quality and latency. To bridge this gap, this paper presents a fully distributed architecture for UGC delivery over the Internet, termed QuaLA (joint Quality-Latency Architecture). The proposed architecture aims to jointly optimize video quality and latency for a better user experience and fairness. By using the proximal Jacobi alternating direction method of multipliers (ProxJ-ADMM) technique, QuaLA proposes a fully distributed mechanism to achieve an appropriate solution. We demonstrate the effectiveness of the proposed architecture through real-world experiments using the CloudLAB testbed. Experimental results show the outperformance of QuaLA in achieving high quality with more than 57% improvement while preserving a good level of fairness and respecting a given target latency among all clients compared to conventional client-driven solutions.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114579768","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
CSDN: CDN-Aware QoE Optimization in SDN-Assisted HTTP Adaptive Video Streaming 基于sdn辅助的HTTP自适应视频流中cdn感知的QoE优化
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-04 DOI: 10.1109/LCN52139.2021.9524970
Reza Farahani, F. Tashtarian, Hadi Amirpour, C. Timmerer, M. Ghanbari, H. Hellwagner
{"title":"CSDN: CDN-Aware QoE Optimization in SDN-Assisted HTTP Adaptive Video Streaming","authors":"Reza Farahani, F. Tashtarian, Hadi Amirpour, C. Timmerer, M. Ghanbari, H. Hellwagner","doi":"10.1109/LCN52139.2021.9524970","DOIUrl":"https://doi.org/10.1109/LCN52139.2021.9524970","url":null,"abstract":"Recent studies have revealed that network-assisted techniques, by providing a comprehensive view of the network, improve HTTP Adaptive Streaming (HAS) system performance significantly. This paper leverages the capability of Software-Defined Networking, Network Function Virtualization, and edge computing to introduce a CDN-Aware QoE Optimization in SDN-Assisted Adaptive Video Streaming (CSDN) framework. We employ virtualized edge entities to collect various information items and run an optimization model with a new server/segment selection approach in a time-slotted fashion to serve the clients’ requests by selecting optimal cache servers. In case of a cache miss, a client’s request is served by an optimal replacement quality from a cache server, by a quality transcoded from an optimal replacement quality at the edge, or by the originally requested quality from the origin server. Comprehensive experiments conducted on a large-scale testbed demonstrate that CSDN outperforms other approaches in terms of the users’ QoE and network utilization.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114681886","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: 10
Robust Authentication and Data Flow Integrity for P2P SCADA Infrastructures P2P SCADA基础设施的鲁棒认证和数据流完整性
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-04 DOI: 10.1109/LCN52139.2021.9525024
Abel O. Gomez Rivera, Evan M. White, Deepak K. Tosh
{"title":"Robust Authentication and Data Flow Integrity for P2P SCADA Infrastructures","authors":"Abel O. Gomez Rivera, Evan M. White, Deepak K. Tosh","doi":"10.1109/LCN52139.2021.9525024","DOIUrl":"https://doi.org/10.1109/LCN52139.2021.9525024","url":null,"abstract":"The Emergence of Industry 4.0 (I4.0) is pushing toward the modernization of Supervisory Control and Data Acquisition (SCADA) systems. Enabling such highly flexible architecture that meets the need of I4.0 remains challenging. Moreover, significant automation in critical infrastructures need robust security, in terms of strong authentication and data integrity assurance, without constraining the performance requirements. Thus, it is essential to design an I4.0 compliant hybrid SCADA that has the capability to adopt decentralized communications for new-generation devices. This paper presents an SRAM-based PUF Authentication, Integrity, and Non-repudiation Peer-to-Peer (SPAIN-P2P) protocol that meets the security requirements of modern SCADA. The SPAIN-P2P ensures data flow protection by integrating lightweight cryptographic algorithms and Physical Unclonable Functions in P2P-based SCADA network. The implementation and the promising performance results of the proposed SPAIN-P2P protocol reveal its suitability and adaptability for integrating in next generation SCADA environments.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129517038","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
Slice Aware Non Terrestrial Networks 片感知非地面网络
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-04 DOI: 10.1109/lcn52139.2021.9524938
Y. Drif, E. Lavinal, E. Chaput, Pascal Berthou, Boris, Tiomela Jou, O. Grémillet, F. Arnal
{"title":"Slice Aware Non Terrestrial Networks","authors":"Y. Drif, E. Lavinal, E. Chaput, Pascal Berthou, Boris, Tiomela Jou, O. Grémillet, F. Arnal","doi":"10.1109/lcn52139.2021.9524938","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9524938","url":null,"abstract":"With the recent integration of Non Terrestrial Networks (NTNs) into 3GPP Release 17, 5G networks are expected to benefit from the NTN large coverage area. This integration will help mobile terrestrial networks reach a worldwide coverage. However, this ultimate ubiquity also comes with its set of challenges to overcome. One of the main issues is the seamless integration of NTNs into the existing mobile network standard. In this paper, we propose a comprehensive architecture integrating NTNs as slice-aware backhaul links. This architecture remains fully compliant with the 3GPP standard. For this purpose, we propose an end-to-end slice model integrating NTNs and 5G networks. Then, we implement this model on a 5G-satellite testbed, adding new functional components to interconnect both networks at the control and data plane levels. Lastly, we evaluate the performances of our method using the aforementioned testbed by monitoring each slice and their related Quality of Service requirements.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127980053","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: 4
Securing Software-Defined Vehicular Network Architecture against DDoS attack 保护软件定义车载网络架构免受DDoS攻击
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-04 DOI: 10.1109/lcn52139.2021.9524953
Houda Amari, W. Louati, L. Khoukhi, Lamia Hadrich Belguith
{"title":"Securing Software-Defined Vehicular Network Architecture against DDoS attack","authors":"Houda Amari, W. Louati, L. Khoukhi, Lamia Hadrich Belguith","doi":"10.1109/lcn52139.2021.9524953","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9524953","url":null,"abstract":"In the recent decades, Intelligent Transport Systems (ITS) attracted researchers’ great attention. ITS plays a very important role in making citizens’ lives easier in term of mobility, safety, quality of life and security. Vehicular ad-hoc networks (VANETs) became an inseparable component of ITS. The current architecture has been facing many issues due to VANET’s characteristics such as high mobility of its nodes and it is still vulnerable to important security attacks which threatens its main security services such as availability, data integrity, authentication and privacy. We propose a new VANET architecture called FCSDVN-ML, in which we combine three emerging paradigms: Software-Defined Network (SDN), Fog Computing (FC) and Machine Learning (ML) to improve security in VANETs. In this paper, we described our architecture components and we discussed its potential performance against Distributed Denial of Service (DDoS) attack using the hierarchical firewalls.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127790509","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: 2
Hierarchical Multi-Agent Deep Reinforcement Learning for SFC Placement on Multiple Domains 分层多智能体深度强化学习在多领域的SFC放置
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-04 DOI: 10.1109/LCN52139.2021.9524980
Nassima Toumi, Miloud Bagaa, A. Ksentini
{"title":"Hierarchical Multi-Agent Deep Reinforcement Learning for SFC Placement on Multiple Domains","authors":"Nassima Toumi, Miloud Bagaa, A. Ksentini","doi":"10.1109/LCN52139.2021.9524980","DOIUrl":"https://doi.org/10.1109/LCN52139.2021.9524980","url":null,"abstract":"Service Function Chaining (SFC) is the process of decomposing a network service into multiple functions that successively process packets to deliver the end-to-end service. In a multi-domain context, SFC placement is a challenging problem due to limited knowledge of the infrastructure of the local domains, which complicates the process of finding the optimal placement solutions. On the other hand, Reinforcement Learning has gained momentum as a tool for decision-making, allowing agents to construct and improve policies using feedback from the environment. In this paper, we leverage Deep Reinforcement Learning (DRL) to perform SFC placement on multiple domains. We devise a hierarchical architecture where the local domain agents and the multi-domain agent are trained using different DRL models to perform SFC and sub-SFC placement while satisfying the SLA requirements.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116695921","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: 4
ASER: Scalable Distributed Routing Protocol for LEO Satellite Networks 低轨道卫星网络的可扩展分布式路由协议
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-04 DOI: 10.1109/lcn52139.2021.9524989
Xiang Zhang, Yuan Yang, Mingwei Xu, Jing Luo
{"title":"ASER: Scalable Distributed Routing Protocol for LEO Satellite Networks","authors":"Xiang Zhang, Yuan Yang, Mingwei Xu, Jing Luo","doi":"10.1109/lcn52139.2021.9524989","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9524989","url":null,"abstract":"Low earth orbit (LEO) satellite networks are promising at constructing the satellite Internet. Dynamics of a large-scale LEO network topology induces critical problems on routing efficiency and scalability. Existing approaches either suffer from such routing problems, or have limited resilience against unpredictable link/node failures. We propose Area-based SatellitE Routing (ASER), a fully distributed routing protocol for LEO networks with high efficiency and scalability. ASER uses a hierarchical routing mechanism, which groups satellites into areas, in such a way that the inter-area routing never changes due to handovers of inter-satellite links. Routing can be quickly reconstructed with little overhead when either regular or unpredictable topology changes occur. We develop ASER based on OSPF, and propose an efficient algorithm to construct the forwarding table, enabling standard packet forwarding. Simulations validate that ASER can reduce the convergence time by more than 50%, and reduce computation and control overhead by orders of magnitude.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129094772","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: 11
SPCAuth: Scalable and Privacy-Preserving Continuous Authentication for Web Applications SPCAuth:用于Web应用程序的可扩展和保护隐私的连续身份验证
2021 IEEE 46th Conference on Local Computer Networks (LCN) Pub Date : 2021-10-01 DOI: 10.1109/lcn52139.2021.9524959
David Monschein, O. P. Waldhorst
{"title":"SPCAuth: Scalable and Privacy-Preserving Continuous Authentication for Web Applications","authors":"David Monschein, O. P. Waldhorst","doi":"10.1109/lcn52139.2021.9524959","DOIUrl":"https://doi.org/10.1109/lcn52139.2021.9524959","url":null,"abstract":"As password-based authentication fails to provide adequate security for online activities such as financial transactions, additional authentication factors are required. Such factors should provide both ease of use and an adequate level of privacy protection, while being easy to implement, operate and maintain, even for applications with thousands of users. As an approach meeting these requirements, we outline Scalable and Privacy- Preserving Continuous Authentication (SPCAuth). SPCAuth determines risk levels for actions that should be authenticated, without requiring explicit user interactions. It analyzes different aspects of user behavior by means of machine learning methods, while preserving the privacy of the affected individuals. SPCAuth trains only a single model per aspect of user behavior being considered, based on observations of all users, ensuring scalability and increasing accuracy for users with infrequent activities. In two experiments, we have confirmed that this key concept enables a scalable and accurate user authentication.","PeriodicalId":222740,"journal":{"name":"2021 IEEE 46th Conference on Local Computer Networks (LCN)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114987395","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
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