2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)最新文献_第3页

Privacy Preserved Spectral Analysis Using IoT mHealth Biomedical Data for Stress Estimation 使用物联网移动医疗生物医学数据进行应力估计的隐私保护频谱分析

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00118

Xuping Huang, Hiroaki Kikuchi, Chun-I Fan

引用次数: 2

SDMan: Towards a Software Defined Management Framework SDMan:迈向软件定义的管理框架

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00067

M. Monteiro, R. Villaça, K. Simonassi, R. Tavares, C. Reginato

引用次数: 0

Alarm Mechanism for Anticipated Detection of Network Unavailability in IP Networks Through Time Series Analysis 基于时间序列分析的IP网络不可用预警机制

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00038

Jefferson Rodrigo A. Cavalcante, J. Celestino, Ahmed Patel

{"title":"Alarm Mechanism for Anticipated Detection of Network Unavailability in IP Networks Through Time Series Analysis","authors":"Jefferson Rodrigo A. Cavalcante, J. Celestino, Ahmed Patel","doi":"10.1109/AINA.2018.00038","DOIUrl":"https://doi.org/10.1109/AINA.2018.00038","url":null,"abstract":"With organizations and individuals increasingly depending on the Internet, failures in subnetworks may affect important services such as for economic, health, educational and governmental purposes. Also, as the complexity of the Internet increases, efficient monitoring and automatic preventive measures play vital roles in avoiding network services interruption. In this work, we propose an alarm mechanism based on time series analysis, which monitors entire IP networks with low overhead and anticipates strong degradation of network performance. When applied on 9 operational Internet Protocol (IP) networks with nodes spread worldwide, our mechanism was able to anticipate cases of 100% loss 15 minutes earlier with more than 99% of Accuracy and less than 0.05% of FalsePositive Rate in the vast majority of the networks we tested with months of monitoring. In the worst case scenario we found, with Approximate Entropy (ApEn) indicating severely random behavior of loss measurements, our mechanism reached 96.5% of Accuracy and 2% of False-Positive Rate. Based on such encouraging results, we believe our alarm mechanism will support daily operations in IP networks, resulting in enhanced resiliency and enabling more intelligent service provisioning.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272253","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

Probabilistic Ontology Reasoning in Ambient Assistance: Predicting Human Actions 环境辅助中的概率本体推理:预测人类行为

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00092

Gabriel Machado Lunardi, G. M. Machado, Fadi Al Machot, Vinícius Maran, Alencar Machado, H. Mayr, V. Shekhovtsov, J. Oliveira

{"title":"Probabilistic Ontology Reasoning in Ambient Assistance: Predicting Human Actions","authors":"Gabriel Machado Lunardi, G. M. Machado, Fadi Al Machot, Vinícius Maran, Alencar Machado, H. Mayr, V. Shekhovtsov, J. Oliveira","doi":"10.1109/AINA.2018.00092","DOIUrl":"https://doi.org/10.1109/AINA.2018.00092","url":null,"abstract":"Providing reminders to elderly people in their home environment, while they perform their daily activities, is considered as a user support activity, and thus a relevant topic in Active and Assisted Living (AAL) research and development. Determining such reminders implies decision-making, since the actions' flow (behavior) usually involves probabilistic branches. An automated system needs to decide which of the next actions is the best one for the user in a given situation. Problems of this nature involve uncertainty levels that have to be dealt with. Many approaches to this problem exploit statistical data only, thus ignoring important semantic data as, for instance, are provided by Ontologies. However, ontologies do not support reasoning over uncertainty natively. In this paper, we present a probabilistic semantic model that enables reasoning over uncertainty without losing semantic information. This model will be exemplified by an extension of the Human Behavior Monitoring and Support [HBMS] approach that provides a conceptual model for representing the user's behavior and its context in her/his living environment. The performance of this approach was evaluated using real data collected from a smart home prototype equipped with sensors. The experiments provided promising results which we will discuss regarding limits and challenges to overcome.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133805074","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

A MAC Multi-channel Scheme Based on Learning-Automata for Clustered VANETs 一种基于学习自动机的聚类vanet MAC多通道方案

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00023

Emna Daknou, N. Tabbane, Mariem Thaalbi

{"title":"A MAC Multi-channel Scheme Based on Learning-Automata for Clustered VANETs","authors":"Emna Daknou, N. Tabbane, Mariem Thaalbi","doi":"10.1109/AINA.2018.00023","DOIUrl":"https://doi.org/10.1109/AINA.2018.00023","url":null,"abstract":"One of the main challenging issues of Vehicular Ad-Hoc Networks (VANETs) is the design of an efficient multi-channel Medium Access Control (MAC). Achieving efficient high throughput for Non-Safety services while maintaining bounded delay for time-critical road Safety applications is still a matter of investigation. In this paper, we propose a MAC Multi-channel Scheme based on Learning-automata for Clustered VANETs (LMMC). Our proposal relies on clustering approach, using single radio transceiver. Addressing the spectrum scarcity problem, the Cluster Head monitors the intra-cluster transmissions within the cluster according to a smart learning-automata model. The advantage of learning automatons is that the Cluster Head learns the traffic parameters of its cluster members without complication. Consequently, each cluster member is optimally assigned a fraction of TDMA slots proportional to its needs in terms of data transmissions. The major contributions of our LMMC protocol are: i) Optimal channel utilization while exchanging Safety or Non-Safety messages within a cluster. ii) Enhanced logical 100 ms MAC frame structure in a way that ensures bounded end-to-end delay of Safety applications. iii) Maximized throughput for throughput-sensitive transmissions.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115684402","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

A Multi-path Extension to RDV Routing Scheme for Static-node-Assisted Vehicular Networks 静态节点辅助车辆网络RDV路由方案的多路径扩展

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00020

Daichi Araki, Takuya Yoshihiro

{"title":"A Multi-path Extension to RDV Routing Scheme for Static-node-Assisted Vehicular Networks","authors":"Daichi Araki, Takuya Yoshihiro","doi":"10.1109/AINA.2018.00020","DOIUrl":"https://doi.org/10.1109/AINA.2018.00020","url":null,"abstract":"Vehicular Ad-hoc NETworks (VANETs) in sparse vehicles scenarios can be regarded as a kind of Delay Tolerant Networks (DTNs), and how to provide reliable and efficient communications over them has been extensively studied. Past studies such as SADV and RDV showed that the assistance of lowcost unwired static nodes located at intersections, which work as routers to provide distance-vector or link-state routing functions, significantly improves the communication performance such as delivery ratio and delivery delay. Especially, RDV provides any previously configured value of expected packet delivery ratio by creating the required number of duplicated packet copies on the shortest paths. Despite of the high delivery ratio achievement, RDV still has problems, that is, traffic concentration in the shortest paths and its large delivery delay. In this paper, we extend RDV by using multiple paths to avoid packet concentration as well as to improve delivery delay while preserving the function to provide the preconfigured expected delivery ratio. Evaluation results show that the proposed method MP-RDV (Multi-Path RDV) achieves high load-balancing performance to provide better network capacity, lower delivery delay, and higher fault tolerance against topology changes.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116870812","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

Smart Homes Coalition Based on Game Theory 基于博弈论的智能家居联盟

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00125

Adia Khalid, N. Javaid, Abdul Mateen, M. H. Rahim, M. Ilahi

引用次数: 5

Queue State Based Dynamical Routing for Non-geostationary Satellite Networks 基于队列状态的非静止卫星网络动态路由

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00014

Hezhong Li, Heteng Zhang, Liang Qiao, F. Tang, Wenchao Xu, Long Chen, Jie Li

{"title":"Queue State Based Dynamical Routing for Non-geostationary Satellite Networks","authors":"Hezhong Li, Heteng Zhang, Liang Qiao, F. Tang, Wenchao Xu, Long Chen, Jie Li","doi":"10.1109/AINA.2018.00014","DOIUrl":"https://doi.org/10.1109/AINA.2018.00014","url":null,"abstract":"The actual queuing delay in satellite networks is hard to get due to long propagation. So, most existing routing algorithms take the expected queuing delay as the routing metrics so that links with short-time light traffic are often chosen when setting up routing tables, which results in that more packets could be sent to the nodes with short-time light traffic. In this paper, we propose a Queue State based Dynamical Routing (QSDR) mechanism for NGEO satellite networks. Instead of expected queuing delay, we model effective queuing delay through filtering short-time light traffic based on the proposed forgotten factor, which considers not only the traffic load but also their duration. To balance traffic load, we propose a dynamical route updating algorithm based on real-time queue states with route state model, which ensures that each satellite sends out packets as soon as possible and avoids congestion at current node. We develop a NS2-based simulation system to evaluate our QSDR. The results demonstrate that our QSDR outperforms related TLR and ELB in terms of packet drop rate, throughput and end-to-end delay.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122468435","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

A Flow-Level Performance Evaluation of Elastic Traffic Under Low Latency Queuing System 低延迟排队系统下弹性流量的流级性能评价

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00041

Mohamed El Hedi Boussada, M. Frikha, Jean-Marie Garcia

{"title":"A Flow-Level Performance Evaluation of Elastic Traffic Under Low Latency Queuing System","authors":"Mohamed El Hedi Boussada, M. Frikha, Jean-Marie Garcia","doi":"10.1109/AINA.2018.00041","DOIUrl":"https://doi.org/10.1109/AINA.2018.00041","url":null,"abstract":"Internet tends progressively to be more interactive by supporting real-time communications into this packet-based environment. It is anticipated that online applications will rapidly develop and contribute by a significant amount of traffic in the near future. These applications have strict requirements in terms of delay and throughput which can't be met only if they are prior. However, at high demand of real-time traffic, elastic traffic (which is transported generally by TCP) may not have sufficient resources to be transported with reasonable quality of service (QoS). Therefore, it is primordial to manage properly the resource-network in order to provide the QoS required by both each type of services. In this paper, we present a new fluid model to evaluate the performance of elastic traffic under Low Latency Queuing (LLQ) system combining a priority queue for delay-sensitive applications with a number of Class Based Weighed Fair Queues (CBWFQ) for elastic traffic. The originality of our contribution consists on focusing on the average total number of flows passing through the whole system by approximating it as a lossless best effort system with total load equal to the total carried load of the original system (no blocked load). The core of our analysis is based on some approximations proven for balanced fairness allocation, which provides a reasonable framework for estimating bandwidth sharing among elastic traffic for best effort allocations. Results issued from this allocation are then exploited to deduce the performance of CBWFQ system. Detailed packet level simulations are used to verify the effectiveness and the accuracy of our analysis. The approach presented in this paper allows a rapid performance evaluation of elastic or rate-adaptive traffic circulating in the actual networks.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126780221","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

An Adaptive Analysis Framework for Correlating Cyber-Security-Related Data 网络安全相关数据关联的自适应分析框架

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00134

Xiaohui Jin, Baojiang Cui, Jun Yang, Zishuai Cheng

{"title":"An Adaptive Analysis Framework for Correlating Cyber-Security-Related Data","authors":"Xiaohui Jin, Baojiang Cui, Jun Yang, Zishuai Cheng","doi":"10.1109/AINA.2018.00134","DOIUrl":"https://doi.org/10.1109/AINA.2018.00134","url":null,"abstract":"In recent years, due to the rise of APT attacks and the failure of traditional security facilities, organizations have to collect a large amount of cyber-security-related data and try to unveil the previously unknown attacks by analyzing them. Additionally, a report from Gartner claims, \"Information security is becoming a big data analytics problem, where massive amounts of data will be correlated, analyzed and mined for meaningful patterns\". Generally, the research work of big data analytics for cyber security mainly includes building big data systems, designing efficient processing algorithms and exploring specific analysis methods and applications, such as detecting DDoS attacks, identifying malicious URLs, correlating IDS alert incidents and extracting threat intelligence from certain unstructured data. Of all these work, most is the extension of previous methods in the big data context, by employing big data techniques to improve the storage capacity, accelerate the calculation or carry out correlation analysis in a much longer time window. Instead, only a few cares about the real coordination of these multi-source, heterogeneous data. In this paper, we propose an adaptive analysis framework for correlating different kinds of cyber-security-related data, such as network traffic, alert incidents and external threat intelligence. This framework can help to improve the pertinence of analysis and better discover potential threats.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127248390","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: 5