2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)最新文献_第6页

Impact of Web 2.0 Technology on Students with Learning Difficulties: A State-of-the-Art and Future Challenges Web 2.0技术对学习困难学生的影响:现状和未来的挑战

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00169

Mohammad Alhabashneh, Bilal Abu-Salih, S. Knight

引用次数: 1

Enhancing QoE Based on Machine Learning and DASH in SDN Networks SDN网络中基于机器学习和DASH的QoE增强

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00095

T. Abar, Asma BEN LETAIFA, S. E. Asmi

引用次数: 12

A Recovery Method for Reducing Storage Usage Considering Number of Neighboring Nodes in VANETs 一种考虑vanet中相邻节点数量的减少存储使用的恢复方法

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00075

Shogo Nakasaki, Y. Yoshino, Makoto Ikeda, L. Barolli

引用次数: 2

How Cloud Computing, IoT and Multicore Systems Affect Software Engineering Principles 云计算、物联网和多核系统如何影响软件工程原理

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00108

Lutz Schubert, Athanasios Tsitsipas, K. Jeffery

引用次数: 1

Experimental Study of Characterizing Frequent Itemsets Using Representation Learning 用表征学习表征频繁项集的实验研究

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00082

S. Kawanobe, Tomonobu Ozaki

{"title":"Experimental Study of Characterizing Frequent Itemsets Using Representation Learning","authors":"S. Kawanobe, Tomonobu Ozaki","doi":"10.1109/WAINA.2018.00082","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00082","url":null,"abstract":"Frequent itemset mining is the most fundamental problem in data mining. In this task, a set of items is adopted as a pattern, and all patterns frequently appearing in a database must be enumerated. While extensive research has been conducted over a long period, including proposals of sophisticated patterns for capturing interesting and meaningful information as well as developments of fast and scalable algorithms, low comprehensibility of obtained patterns is widely recognized as an unsolved essential drawback in frequent itemset mining. In this paper, to cope with this drawback, we propose to use representation learning to characterize each frequent pattern from various perspectives. Concretely speaking, we perform cluster analysis in the obtained vector space to identify representative and outlier patterns because we believe that these representatives and outliers must play important roles to understand the whole patterns. Furthermore, in order to obtain significant patterns having various roles to understand the pattern sets, we utilize the degree of centrality in a pattern network built by drawing edges among similar patterns. Experiments are conducted using a real dataset in Japanese video-sharing site Nicovideo (nicovideo.jp). The results show the effectiveness of the proposed framework for identifying characteristic patterns having various roles.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130982199","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

Ameliorating the Web QoE Using SPA 利用SPA改进Web QoE

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00081

Nawres Abdelwahed, Asma BEN LETAIFA, S. E. Asmi

引用次数: 1

An Integrated Message Suppression Controller with Epidemic and MaxProp Protocols: Performance Evaluation for VDTNs 带有Epidemic和MaxProp协议的集成消息抑制控制器:VDTNs的性能评估

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00080

Y. Yoshino, Shogo Nakasaki, Makoto Ikeda, L. Barolli

引用次数: 1

Cloud Services Categories Identification from Requirements Specifications 从需求规范中识别云服务类别

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00125

B. D. Martino, Jessica Pascarella, Stefania Nacchia, Salvatore Augusto Maisto, P. Iannucci, Fabio Cerri

{"title":"Cloud Services Categories Identification from Requirements Specifications","authors":"B. D. Martino, Jessica Pascarella, Stefania Nacchia, Salvatore Augusto Maisto, P. Iannucci, Fabio Cerri","doi":"10.1109/WAINA.2018.00125","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00125","url":null,"abstract":"In the Cloud Computing field, with the increasing number of Cloud Services available thanks to several cloud providers, looking for a particular service has become very difficult, especially with the evolution of the stakeholders' needs. At the same time requirements specifications have become more and more complex to define in a formal representation and to analyse, since the stakeholders' goals are typically high-level, abstract, and hard-to-measure. For these reasons it would be useful to automate, as much as possible, requirements analysis. In this work we propose an automatic classification and modelling of requirements that are expressed in a natural language form, and an automatic identification of cloud services categories from requirements in order to support the development of a cloud application. Automated requirements analysis is not an easy subject, due to the natural languages variability and ambiguity, that's why different machine/deep learning and natural language processing approaches are used and compared. The target data set is provided by the Open-Security tera-PROMISE repository.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129685101","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

Early Detection of Network Incident Using Open Security Information 利用开放的安全信息早期检测网络事件

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00057

Hiroki Kuzuno, S. Otsuka

{"title":"Early Detection of Network Incident Using Open Security Information","authors":"Hiroki Kuzuno, S. Otsuka","doi":"10.1109/WAINA.2018.00057","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00057","url":null,"abstract":"Network security incident (network incident) is an important topic in the around world. Network operators and security vendors tackle these network incidents consist of many cyber crimes. The types of threats are DDoS, phishing, malware, vulnerability attacks to take control a device, and extortion case. Network operators consider protecting their environment from threats. They have to observe a trend of threat, then could trace suspicious network traffic flows on what network. Some organization and individual persons publish open security information related to past a network incident. In order to identify which network covers on suspicious activity, we collect open security information as the dataset to analyze these for providing a summary of network operators' IP addresses lead to network incident. The result is not only useful information to get a trend of threat pattern, but also we quickly handle a countermeasure to it when real network incident has happened in their environment. In the evaluation, we verify the result of proposed framework could handle the trend of network incident cases. We determine the result whether provides security threat or not based on security vendors reports. The evaluation result shows the proposed framework could identify the SSH brute force attack and other attacks before the security vendor discloses it. It is useful for supporting of network operators and community to observe the latest network incident when it occurs in their environment.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129343340","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

Security Analysis of Open Source Network Access Control in Virtual Networks 虚拟网络中开源网络访问控制的安全性分析

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-01 DOI: 10.1109/WAINA.2018.00131

Mohammed Suhel Inamdar, Ali Tekeoglu

{"title":"Security Analysis of Open Source Network Access Control in Virtual Networks","authors":"Mohammed Suhel Inamdar, Ali Tekeoglu","doi":"10.1109/WAINA.2018.00131","DOIUrl":"https://doi.org/10.1109/WAINA.2018.00131","url":null,"abstract":"Enterprise networks depend on Network Access Control software to restrict access to valuable resources. Significant number of attacks come from internal threats, such as disgruntled employees and infected personal devices brought into the company network. Network Access Control software plays an important role in detecting and protecting against these kind of threats. Most companies maintain huge and complex internal networks that form the backbone of their business and the safe harbor for their intellectual property. Thus, its essential to make sure each machine and user has only the right amount of access to the corporate network. With the widespread use of mobile and IoT devices integrating dynamically to corporate networks, this task gets even more complicated. Virtual Local Area Networks (VLANs) are heavily employed to securely partition the intranet because of the suitability for a corporate setting. In this paper, we have evaluated the security of PacketFence Network Access Control server, installed within GNS3 network emulator. Using an open-source tool named Yersinia to carry out experiments, we proved that attacks are viable and realistic. We showed different possible ways to attack the PacketFence network along with how to prevent.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128907707","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: 3