2019 15th International Conference on Network and Service Management (CNSM)最新文献_第3页

Concurrent Traffic Queuing Game in Smart Home 智能家居中的并发交通排队博弈

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012720

Maroua Ben Attia, K. Nguyen, M. Cheriet

引用次数: 2

Quantitative Analysis of Dynamically Provisioned Heterogeneous Network Services 动态配置异构网络服务的定量分析

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012659

Hadi Razzaghi Kouchaksaraei, H. Karl

引用次数: 2

Towards Content-Centric Control Plane Supporting Efficient Anomaly Detection Functions 支持高效异常检测功能的以内容为中心的控制平面

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012668

H. Mai, G. Doyen, Wissam Mallouli, Edgardo Montes de Oca, O. Festor

{"title":"Towards Content-Centric Control Plane Supporting Efficient Anomaly Detection Functions","authors":"H. Mai, G. Doyen, Wissam Mallouli, Edgardo Montes de Oca, O. Festor","doi":"10.23919/CNSM46954.2019.9012668","DOIUrl":"https://doi.org/10.23919/CNSM46954.2019.9012668","url":null,"abstract":"Anomaly detection remains a challenging task due to both the ever more complex functions that need to be executed and the evolution of current networking devices which induces limitation of computational resources such as the Internet of Things (IoT). Furthermore, results of anomaly function computations can be repeated gradually over time or executed in neighboring nodes, thus leading to a waste of such limited computing resources in constrained nodes. To tackle these issues, the content-centric paradigm enhanced with computing features offers a promising solution to reduce the computation resources and finally improve the scalability of anomaly detection functions. In this paper, we propose a first step toward a content-oriented control plane which enables the distribution of the processing and the sharing of results of anomaly detection functions in the network. We present the way we leverage NFN to support Bayesian Network inference to detect anomalies in network traffic. The relevance and performance of our proposed approach are demonstrated by considering the Content Poisoning Attack (CPA) through numerous experiment data.","PeriodicalId":273818,"journal":{"name":"2019 15th International Conference on Network and Service Management (CNSM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125566473","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

Sense-Share: A Framework for Resilient Collaborative Service Performance Monitoring 感知共享:弹性协同服务绩效监控框架

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012683

K. Batbayar, Emmanouil Dimogerontakis, Roc Meseguer, L. Navarro, R. Sadre

{"title":"Sense-Share: A Framework for Resilient Collaborative Service Performance Monitoring","authors":"K. Batbayar, Emmanouil Dimogerontakis, Roc Meseguer, L. Navarro, R. Sadre","doi":"10.23919/CNSM46954.2019.9012683","DOIUrl":"https://doi.org/10.23919/CNSM46954.2019.9012683","url":null,"abstract":"Modern large-scale networked services, such as video streaming, are typically deployed at multiple locations in the network to provide redundancy and load balancing. Different techniques are used to provide performance monitoring information so that client nodes can select the best service instance. One of them is collaborative sensing, where clients share measurement results on the observed service performance to build a common ground of knowledge with low overhead. Clients can then use this common ground to select the most suitable service provider. However, collaborative algorithms are susceptible to false measurements sent by malfunctioning or malicious nodes, which decreases the accuracy of the performance sensing process. We propose Sense-Share, a simple light-weight and resilient collaborative sensing framework based on the similarity of the client nodes’ perception of service performance. Our experimental evaluation in different topologies shows that service performance sensing using Sense-Share achieves, on average, 94% similarity to non-collaborative brute force performance sensing, tolerating faulty nodes. Furthermore, our approach effectively distributes the service monitoring requests over the service nodes and exploits direct inter-node communication to share measurements, resulting in reduced monitoring overhead.","PeriodicalId":273818,"journal":{"name":"2019 15th International Conference on Network and Service Management (CNSM)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127679284","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

Low Overhead, Fine-grained End-to-end Monitoring of Wireless Networks using In-band Telemetry 低开销，细粒度端到端监测无线网络使用带内遥测

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012678

J. Haxhibeqiri, I. Moerman, J. Hoebeke

引用次数: 13

On Accounting for Screen Resolution in Adaptive Video Streaming: A QoE-Driven Bandwidth Sharing Framework 自适应视频流中屏幕分辨率的计算:一个qos驱动的带宽共享框架

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012672

Othmane Belmoukadam, Muhammad Jawad Khokhar, C. Barakat

{"title":"On Accounting for Screen Resolution in Adaptive Video Streaming: A QoE-Driven Bandwidth Sharing Framework","authors":"Othmane Belmoukadam, Muhammad Jawad Khokhar, C. Barakat","doi":"10.23919/CNSM46954.2019.9012672","DOIUrl":"https://doi.org/10.23919/CNSM46954.2019.9012672","url":null,"abstract":"Screen resolution along with network conditions are main objective factors impacting the user experience, in particular for video streaming applications. Terminals on their side feature more and more advanced characteristics resulting in different network requirements for good visual experience [1]. Previous studies tried to link MOS (Mean Opinion Score) to video bit rate for different screen types (e.g., CIF, QCIF, and HD) [2]. We leverage such studies and formulate a QoE-driven resource allocation problem to pinpoint the optimal bandwidth allocation that maximizes the QoE (Quality of Experience) over all users of a provider located behind the same bottleneck link, while accounting for the characteristics of the screens they use for video playout. For our optimization problem, QoE functions are built using curve fitting on data sets capturing the relationship between MOS, screen characteristics, and bandwidth requirements. We propose a simple heuristic based on Lagrangian relaxation and KKT (Karush Kuhn Tucker) conditions for a subset of constraints. Numerical simulations show that the proposed heuristic is able to increase overall QoE up to 20% compared to an allocation with TCP look-alike strategies implementing max-min fairness. Later, we use a MPEG/DASH implementation in the context of ns-3 and show that coupling our approach with a rate adaptation algorithm (e.g., [3]) can help increasing QoE while reducing both resolution switches and number of interruptions.","PeriodicalId":273818,"journal":{"name":"2019 15th International Conference on Network and Service Management (CNSM)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129216474","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: 7

Compromised Tweet Detection Using Siamese Networks and fastText Representations 使用暹罗网络和快速文本表示的受损Tweet检测

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012722

Mihir Joshi, Parmeet Singh, A. N. Zincir-Heywood

引用次数: 1

Distributed Middlebox Architecture for IoT Protection 物联网保护的分布式Middlebox架构

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012738

Lionel Metongnon, R. Sadre, E. C. Ezin

{"title":"Distributed Middlebox Architecture for IoT Protection","authors":"Lionel Metongnon, R. Sadre, E. C. Ezin","doi":"10.23919/CNSM46954.2019.9012738","DOIUrl":"https://doi.org/10.23919/CNSM46954.2019.9012738","url":null,"abstract":"The Internet of Things (IoT) is not one single entity, but a collection of different devices, communication technologies, protocols and services. IoT systems can span a large number of individually managed networks that are interconnected through the Internet and host the different components of an IoT application, such as sensor devices, storage servers and data processing services. Protecting such a complex multiparty system from abuse becomes a very challenging task. New difficulties arise everyday when policies are updated or new collaborations and federations appear between entities. Moreover, hacked IoT devices can also become the source of powerful attacks, as the Mirai malware has demonstrated, and therefore a danger for the other involved parties. In this paper, we propose an approach to improve the management and protection of collaborating IoT systems using distributed intrusion detection and permission-based access control. Our approach is based on interconnected middleboxes that monitor the communication between the various IoT networks and are able to stop incoming as well as outgoing attacks. We evaluate our approach through experiments with different types of attacks.","PeriodicalId":273818,"journal":{"name":"2019 15th International Conference on Network and Service Management (CNSM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127205500","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

Detecting Factors Responsible for Diabetes Prevalence in Nigeria using Social Media and Machine Learning 利用社交媒体和机器学习检测尼日利亚糖尿病流行的因素

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012679

O. Oyebode, Rita Orji

{"title":"Detecting Factors Responsible for Diabetes Prevalence in Nigeria using Social Media and Machine Learning","authors":"O. Oyebode, Rita Orji","doi":"10.23919/CNSM46954.2019.9012679","DOIUrl":"https://doi.org/10.23919/CNSM46954.2019.9012679","url":null,"abstract":"Diabetes is a non-communicable disease associated with increased level of glucose due to inadequate supply of insulin (known as Type 1 diabetes) or inability to use insulin efficiently (known as Type 2 diabetes). Though the exact cause of Type 1 diabetes is unknown, the probable causes are genetics and environmental factors (such as exposure to viruses). On the other hand, Type 2 diabetes is largely linked to unhealthy lifestyle choices. In Nigeria, many people are believed to be living with diabetes and the country’s diabetes prevalence rate is one of the highest in Africa. To determine the factors responsible for diabetes prevalence in Nigeria, we analyzed social media contents related to diabetes since billions of people, including diabetic patients and healthcare professionals, use social media platforms to freely share their experiences and discuss many health-related topics. None of the existing research targets the African audience who are also major users of social media platforms; hence our work aims to close this gap by leveraging an African social media platform targeted at Nigerians to gather diabetes-related data, and then applying machine learning technique to detect those factors responsible for diabetes prevalence in Nigeria. Based on our results, we discussed positive behavioural or lifestyle changes that are necessary to prevent and treat diabetes in Nigeria, as well as intervention designs required to bring about those changes. Future work will develop a diabetes intervention application implementing all the design features highlighted in Section V of this paper and making it generally accessible to Nigerians.","PeriodicalId":273818,"journal":{"name":"2019 15th International Conference on Network and Service Management (CNSM)","volume":"350 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124314622","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: 16

Deep Learning Models For Aggregated Network Traffic Prediction 用于聚合网络流量预测的深度学习模型

2019 15th International Conference on Network and Service Management (CNSM) Pub Date : 2019-10-01 DOI: 10.23919/CNSM46954.2019.9012669

A. Lazaris, V. Prasanna

引用次数: 17