2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)最新文献_第5页

Defining Human Behaviors Using Big Data Analytics in Social Internet of Things 在社交物联网中使用大数据分析定义人类行为

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.104

Awais Ahmad, M. Rathore, Anand Paul, Su-Ryun Rho

{"title":"Defining Human Behaviors Using Big Data Analytics in Social Internet of Things","authors":"Awais Ahmad, M. Rathore, Anand Paul, Su-Ryun Rho","doi":"10.1109/AINA.2016.104","DOIUrl":"https://doi.org/10.1109/AINA.2016.104","url":null,"abstract":"As we delve into the Internet of Things (IoT), we are witnessing the intensive interaction and heterogeneous communication among different devices over the Internet. Consequently, these devices generate a massive volume of Big Data. The potential of these data has been analyzed by the complex network theory, describing a specialized branch, known as 'Human Dynamics.' The potential of these data has been analyzed by the complex network theory, describing a specialized branch, known as 'Human Dynamics.' In this extension, the goal is to describe human behavior in the social area at real-time. These objectives are starting to be practicable through the quantity of data provided by smartphones, social network, and smart cities. These make the environment more intelligent and offer an intelligent space to sense our activities or actions, and the evolution of the ecosystem. To address the aforementioned needs, this paper presents the concept of 'defining human behavior' using Big Data in SIoT by proposing system architecture that processes and analyzes big data in real-time. The proposed architecture consists of three operational domains, i.e., object, SIoT server, application domain. Data from object domain is aggregated at SIoT server domain, where the data is efficiently store and process and intelligently respond to the outer stimuli. The proposed system architecture focuses on the analysis the ecosystem provided by Smart Cities, wearable devices (e.g., body area network) and Big Data to determine the human behaviors as well as human dynamics. Furthermore, the feasibility and efficiency of the proposed system are implemented on Hadoop single node setup on UBUNTU 14.04 LTS coreTMi5 machine with 3.2 GHz processor and 4 GB memory.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114746852","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: 34

A Method for Recognizing Driver's Location Context with a Vehicle Information Device 一种基于车辆信息设备的驾驶员位置上下文识别方法

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.16

Seiji Matsuyama, Takatomo Yamabe, Yuki Nakayama, Yukari Okuwaki, R. Kiyohara

{"title":"A Method for Recognizing Driver's Location Context with a Vehicle Information Device","authors":"Seiji Matsuyama, Takatomo Yamabe, Yuki Nakayama, Yukari Okuwaki, R. Kiyohara","doi":"10.1109/AINA.2016.16","DOIUrl":"https://doi.org/10.1109/AINA.2016.16","url":null,"abstract":"Recently, smartphones have become widely used as vehicle information devices. As a result, several advantages have appeared. First, a smartphone can log driving data such as location, vehicle status information, and so on. The logs do not depend on the car, but on the smartphone user. Second, a smartphone can gather driving-related information via the Internet. We believe that the advantages enable us to recognize several contexts. Therefore, we proposed a system that supports the user in changing provided services based on the context. We have discussed context recognition in order to create the system. One of the discussion outcomes is that the location context holds a very important role in guessing which function is required by a driver. However, it is difficult to recognize the location context using only latitude-longitude logs. In this paper, we propose a method for recognizing location context. The method is separated into three steps. First, values are recorded in a travel history such as a meshed map. The values represent driving experience points in a travelling area. Second, the method searches the travel history for a given driving area. Then, the value of the searched area is compared with a specified threshold. As a result, the location context is recognized. We implemented a prototype system and evaluated the proposed method. The results of the evaluation confirm the effectiveness of both the proposed method and expected future work.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126617117","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

Fuzzy-Based Trust Model for Detection of Selfish Nodes in MANETs 基于模糊的自利节点检测信任模型

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.142

Z. Ullah, Muhammad Saleem Khan, Idrees Ahmed, N. Javaid, M. Khan

{"title":"Fuzzy-Based Trust Model for Detection of Selfish Nodes in MANETs","authors":"Z. Ullah, Muhammad Saleem Khan, Idrees Ahmed, N. Javaid, M. Khan","doi":"10.1109/AINA.2016.142","DOIUrl":"https://doi.org/10.1109/AINA.2016.142","url":null,"abstract":"Cooperation among nodes is mandatory for smooth operation of Mobile Ad Hoc Networks (MANETs) in terms of data routing. A participating node may refuse to deplete its resources for the benefit of others because of not getting any direct advantage for its service. Nodes showing such behavior are called selfish or non-cooperative nodes. Non-cooperative nodes can severely affect the performance of MANETs. Non-cooperative behavior of nodes in the MANETs may lead to network partitioning. In this paper, we address the issue of non-cooperative behavior by incorporating the concept of fuzzy logic closely coupled with the concept of trust. Fuzzy-based analyzer is used to distinguish between the non-cooperative behavior nodes and trustworthy nodes. We propose a fuzzy-based scheme to detect and isolate non-cooperative nodes in MANETs. In the proposed scheme, every node in the network constantly monitors its one-hop neighbors for their actions. Every node computes the trust of the observed neighbors. These trust values are passed on to a fuzzy function which is mapped into different classes. The resulting classes show the trust levels of the observed nodes. On the basis of the calculated trust value, the non-cooperative nodes are detected and isolated from the active routes of the MANET. Proposed fuzzy-based scheme is robust enough in terms of detecting packet drop attack in the network. Results show that proposed scheme detects non-cooperative nodes effectively with low false positives rate. Moreover, proposed scheme increases the packet delivery ratio and throughput in the presence of non-cooperative nodes in the network.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"2005 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125809209","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: 12

Accelerating Packet Processing in a Xen Environment with OpenDataPlane 使用OpenDataPlane加速Xen环境下的数据包处理

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.27

Tarek Rabia, Othmen Braham, G. Pujolle

引用次数: 0

Mining and Visualizing Social Data to Inform Marketing Decisions 挖掘和可视化社会数据，为营销决策提供信息

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.130

J. Treboux, Fabian Cretton, Florian Evéquoz, A. Calvé, D. Genoud

{"title":"Mining and Visualizing Social Data to Inform Marketing Decisions","authors":"J. Treboux, Fabian Cretton, Florian Evéquoz, A. Calvé, D. Genoud","doi":"10.1109/AINA.2016.130","DOIUrl":"https://doi.org/10.1109/AINA.2016.130","url":null,"abstract":"Most of today's commercial companies heavily rely on social media and community management tools to interact with their clients and analyze their online behaviour. Nonetheless, these tools still lack evolved data mining and visualization features to tailor the analysis in order to support useful marketing decisions. We present an original methodology that aims at formalizing the marketing need of the company and develop a tool that can support it. The methodology is derived from the Cross-Industry Standard Process for Data Mining (CRISP-DM) and includes additional steps dedicated to the design and development of visualizations of mined data. We followed the methodology in two use cases with Swiss companies. First, we developed a prototype that aims at understanding the needs of tourists based on Flickr and Instagram data. In that use case, we extend the existing literature by enriching hashtags analysis methods with a semantic network based on Linked Data. Second, we analyzed internal customer data of an online discount retailer to help them define guerilla marketing measures. We report on the challenges of integrating Facebook data in the process. Informal feedback from domain experts confirms the strong potential of such advanced analytic features based on social data to inform marketing decisions.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123533278","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

Resistance to Chaff Attack through TCP/IP Packet Cross-Matching and RTT-Based Random Walk 基于TCP/IP包交叉匹配和rtt的随机漫步抵抗箔条攻击

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.17

Jianhua Yang

引用次数: 5

Examination of the Implementation Method of the Cloud Type Virtual Policy Based Network Management Scheme for the Common Use between Plural Organizations 多组织间通用的基于云型虚拟策略的网络管理方案实施方法研究

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.13

Kazuya Odagiri, Shogo Shimizu, N. Ishii, M. Takizawa

{"title":"Examination of the Implementation Method of the Cloud Type Virtual Policy Based Network Management Scheme for the Common Use between Plural Organizations","authors":"Kazuya Odagiri, Shogo Shimizu, N. Ishii, M. Takizawa","doi":"10.1109/AINA.2016.13","DOIUrl":"https://doi.org/10.1109/AINA.2016.13","url":null,"abstract":"In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. The first is the scheme for managing the whole LAN by locating the communication control mechanisms on the course between network servers and clients. The second is the scheme of managing the whole LAN by locating the communication control mechanisms on clients. As the second scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. As the second step of the second phase for the last goal, we examine the implementation method of the cloud type virtual PBNM which can be used by plural organizations in this paper.","PeriodicalId":438655,"journal":{"name":"2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134454233","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

A Fuzzy-Based Reliability System for JXTA-Overlay P2P Platform Considering as New Parameter Sustained Communication Time 考虑持续通信时间新参数的JXTA-Overlay P2P平台模糊可靠性系统

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.44

Yi Liu, Shinji Sakamoto, Evjola Spaho, Keita Matsuo, L. Barolli, F. Xhafa

引用次数: 0

IoT Healthcare Analytics: The Importance of Anomaly Detection 物联网医疗分析:异常检测的重要性

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.158

A. Ukil, S. Bandyopadhyay, Chetanya Puri, A. Pal

引用次数: 129

Preventing Pass-the-Hash and Similar Impersonation Attacks in Enterprise Infrastructures 防止企业基础设施中的传递哈希和类似的模拟攻击

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI: 10.1109/AINA.2016.101

Alexander Oberle, Pedro Larbig, R. Marx, F. Weber, D. Scheuermann, D. Fages, F. Thomas

引用次数: 7