2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)最新文献_第4页

A handover statistics based approach for Cell Outage Detection in self-organized Heterogeneous Networks 基于切换统计的自组织异构网络小区停机检测方法

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987346

Zhang Tao, Lei Feng, Peng Yu, Shaoyong Guo, Wenjing Li, Xue-song Qiu

{"title":"A handover statistics based approach for Cell Outage Detection in self-organized Heterogeneous Networks","authors":"Zhang Tao, Lei Feng, Peng Yu, Shaoyong Guo, Wenjing Li, Xue-song Qiu","doi":"10.23919/INM.2017.7987346","DOIUrl":"https://doi.org/10.23919/INM.2017.7987346","url":null,"abstract":"Recently, densified small cell deployment with overlay coverage through Heterogeneous Networks (HetNets) has emerged as a viable solution for 5G mobile networks. Cell Outage Detection (COD) which is the essential functionality in Self-Organizing Network (SON) is designed to autonomously deal with unexpected faults. Typical methods for detecting cell outage are usually based on Manual Drive Tests (MDT). However, it is difficult to detect small cell outage by MDT measurements in HetNets, because the User Equipment (UE) served by these small cells can switch to the macro cell and keep the Reference Signal Received Power (RSRP) and Signal to Interference plus Noise Ratio (SINR) values normal. To resolve this issue, we propose a COD architecture based on the handover statistics. Our model concentrates on cell outage detection in a two-tier heterogeneous network. We process sequential handover statistics spatially and temporally in conjunction with data mining methods. Also, an improved LOF algorithm (M-LOF) is proposed to enhance the detection performance based on handover statistics. To evaluate the system performance, a set of tests has been carried out using some reasonable assumptions and network simulator we designed. The results of simulation show that our system is more effective to detect cell outage in comparison to the architecture using MDT measurements.","PeriodicalId":119633,"journal":{"name":"2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126551477","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

Learning behavioral fingerprints from Netflows using Timed Automata 使用定时自动机从Netflows学习行为指纹

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987293

Gaetano Pellegrino, Qin Lin, Christian A. Hammerschmidt, S. Verwer

引用次数: 17

Virtualization of radio access network by Virtual Machine and Docker: Practice and performance analysis 利用虚拟机和Docker实现无线接入网的虚拟化:实践与性能分析

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987358

G. Aravinthan, Dalia-Georgiana Herculea, Chung Shue Chen, L. Roullet

引用次数: 14

Capacity self-planning in Small Cell multi-tenant 5G Networks 小蜂窝多租户5G网络容量自规划

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987449

P. Muñoz, O. Sallent, J. Pérez-Romero

引用次数: 8

Demystifying network slicing: From theory to practice 揭秘网络切片:从理论到实践

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987450

Thomas Soenen, Ratul Banerjee, W. Tavernier, D. Colle, M. Pickavet

{"title":"Demystifying network slicing: From theory to practice","authors":"Thomas Soenen, Ratul Banerjee, W. Tavernier, D. Colle, M. Pickavet","doi":"10.23919/INM.2017.7987450","DOIUrl":"https://doi.org/10.23919/INM.2017.7987450","url":null,"abstract":"Network slicing is the emerging paradigm in which operators use their resources to provide multiple logical networks and associated resources, with varying configurations and at the same time. More and more vertical industries need their machines and devices connected in networks with specific requirements. In order to provide networks fitted to these usecases, and not require that they adapt to the one-size-fits-all network as is currently the case with the mobile Internet, the telecom community vowed to include network slicing functionality within its next generation of mobile networking, 5G, as an end-to-end network solution. As the concept is new and still not fully grasped, we develop and refine the concept of a network slice both from a business and a technological point of view. We investigate how network slicing in the context of a vehicular network could be implemented and how it advances the state of the art. This involves a detailed study of the involved technologies across a range of infrastructures and network segments, as well as the resulting gaps in the existing technology landscape. Based on the lessons learned in this concrete usecase, network slicing is considered in a broader 5G landscape. We capture the main challenges and potential directions in order to make network slicing a true enabler of 5G-driven vertical industries.","PeriodicalId":119633,"journal":{"name":"2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114472939","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: 21

Prototyping a high availability PaaS: Performance analysis and lessons learned 高可用性PaaS的原型:性能分析和经验教训

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987367

Marcos Machado, Daniel Rosendo, D. Gomes, A. Moreira, Moises Bezerra, D. Sadok, P. Endo, C. Curescu

引用次数: 1

Applied Machine Learning predictive analytics to SQL Injection Attack detection and prevention 将机器学习预测分析应用于SQL注入攻击检测和预防

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987433

Solomon Ogbomon Uwagbole, W. Buchanan, Lu Fan

{"title":"Applied Machine Learning predictive analytics to SQL Injection Attack detection and prevention","authors":"Solomon Ogbomon Uwagbole, W. Buchanan, Lu Fan","doi":"10.23919/INM.2017.7987433","DOIUrl":"https://doi.org/10.23919/INM.2017.7987433","url":null,"abstract":"The back-end database is pivotal to the storage of the massive size of big data Internet exchanges stemming from cloud-hosted web applications to Internet of Things (IoT) smart devices. Structured Query Language (SQL) Injection Attack (SQLIA) remains an intruder's exploit of choice on vulnerable web applications to pilfer confidential data from the database with potentially damaging consequences. The existing solutions of mostly signature approaches were all before the recent challenges of big data mining and at such lacks the functionality and ability to cope with new signatures concealed in web requests. An alternative Machine Learning (ML) predictive analytics provides a functional and scalable mining to big data in detection and prevention of SQLIA. Unfortunately, lack of availability of readymade robust corpus or data set with patterns and historical data items to train a classifier are issues well known in SQLIA research. In this paper, we explore the generation of data set containing extraction from known attack patterns including SQL tokens and symbols present at injection points. Also, as a test case, we build a web application that expects dictionary word list as vector variables to demonstrate massive quantities of learning data. The data set is pre-processed, labelled and feature hashing for supervised learning. The trained classifier to be deployed as a web service that is consumed in a custom dot NET application implementing a web proxy Application Programming Interface (API) to intercept and accurately predict SQLIA in web requests thereby preventing malicious web requests from reaching the protected back-end database. This paper demonstrates a full proof of concept implementation of an ML predictive analytics and deployment of resultant web service that accurately predicts and prevents SQLIA with empirical evaluations presented in Confusion Matrix (CM) and Receiver Operating Curve (ROC).","PeriodicalId":119633,"journal":{"name":"2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131014011","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: 100

Failover time evaluation between checkpoint services in multi-tier stateful applications 多层有状态应用程序中检查点服务之间的故障转移时间评估

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987361

D. Gomes, G. Gonçalves, Moises Bezerra, D. Sadok, P. Endo, C. Curescu

引用次数: 3

FlowVisor vulnerability analysis FlowVisor漏洞分析

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987387

Ying Qian, Wanqing You, K. Qian

引用次数: 5

Managing vulnerabilities in a cloud native world with bluefix 使用bluefix管理云原生环境中的漏洞

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) Pub Date : 2017-05-08 DOI: 10.23919/INM.2017.7987368

Jin Xiao, J. Rofrano

引用次数: 1