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2017 9th International Conference on Communication Systems and Networks (COMSNETS)最新文献

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Why a socialbot is effective in Twitter? A statistical insight 为什么社交机器人在Twitter上是有效的?统计见解
Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945454
Mohd Fazil, M. Abulaish
Twitter, a popular microblogging platform, facilitates users to express views and thoughts on any topic of discussion using short messaging texts limited to 140 characters. Due to its open and real-time information sharing and dissemination nature, it is abused by socialbots for political astroturfing, advertising, spamming, and other illicit activities. To this end, we injected an army of 98 socialbots associated to top six Twitter using countries to study socialbots’ infiltration behaviour. In this paper, we present a statistical insight derived through the analysis of the captured data by our socialbots. Socialbots’ profile features, such as age, gender, etc. and their behavioural impact on infiltration performance are studied and presented, wherein a user's following activity to a socialbot is considered as an infiltration. Experimental results and subsequent statistical analyses show that socialbots’ profiles belonging to India were the successful in duping highest number of users, whereas Indonesian socialbots were least infiltrative. Moreover, among various Twitter activities, following is found to be the most effective activity for infiltrating a user. Among the intruded users, trace of the presence of botnets, spammers, and other malicious users have also been observed and presented in this paper.
Twitter是一个流行的微博平台,用户可以通过140个字符以内的短消息就任何话题表达自己的观点和想法。由于其开放和实时的信息共享和传播性质,它被社交机器人滥用于政治造势、广告、垃圾邮件和其他非法活动。为此,我们注入了一支由98个社交机器人组成的军队,这些社交机器人与排名前六的Twitter使用国家有关,以研究社交机器人的渗透行为。在本文中,我们通过分析我们的社交机器人捕获的数据,提出了一个统计见解。研究并展示了Socialbots的个人资料特征,如年龄、性别等及其对渗透性能的行为影响,其中用户对socialbot的关注活动被视为渗透。实验结果和随后的统计分析表明,印度的社交机器人成功欺骗了最多的用户,而印度尼西亚的社交机器人的渗透性最低。此外,在Twitter的各种活动中,关注是渗透用户最有效的活动。在入侵用户中,还观察到僵尸网络、垃圾邮件发送者和其他恶意用户存在的痕迹,并在本文中进行了介绍。
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引用次数: 19
A weight-based map matching algorithm using minimum input variables for urban road networks 基于权重的城市路网最小输入变量地图匹配算法
Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945429
S. Maity, Soumik Dalal, Sayan Ranu, L. Vanajakshi
Global Positioning System (GPS) has found its application in the field of Intelligent Transportation Systems (ITS) in fleet management, prediction of arrival of public transport vehicles, route identification, route navigation, and many other location based services. Map matching algorithms integrate the positioning data received from the GPS, with digital road networks on existing maps. This includes minimizing the error in locating the vehicle on a route, identifying the correct road segment and locating the vehicle's correct position on the road network. This paper presents a weight based map matching algorithm, which can be applied in real-time, for complex urban road networks. The parameters considered in the evaluation of the candidate segments are distance, direction difference and connectivity with the previously identified segment. A comparison between these parameters for the two best road segments was analyzed to identify probable cases of ambiguity in selection of the best segment and a solution to overcome wrong assignments was included in the algorithm. The most noticeable feature about this algorithm is the high accuracy of 96.55% for segment assignment using minimum input variables of latitude and longitude of the vehicles.
全球定位系统(GPS)已经在智能交通系统(its)的车队管理、公共交通车辆到达预测、路线识别、路线导航以及许多其他基于位置的服务中找到了它的应用。地图匹配算法将从GPS接收的定位数据与现有地图上的数字道路网络相结合。这包括最大限度地减少在路线上定位车辆的误差,识别正确的路段,以及在道路网络上定位车辆的正确位置。本文提出了一种基于权重的地图匹配算法,可用于复杂城市道路网络的实时匹配。在候选段的评估中考虑的参数是距离、方向差和与先前识别的段的连通性。通过对两种最佳路段参数的比较分析,确定了最佳路段选择中可能存在的模糊情况,并提出了克服错误分配的解决方案。该算法最显著的特点是使用最小的车辆经纬度输入变量进行路段分配,准确率达到96.55%。
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引用次数: 1
An adaptive and elastic cloud based framework for service oriented computing in Internet of Things 物联网面向服务计算的自适应、弹性云框架
Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945433
Arpita Bajpai, B. Choudhury, S. Choudhury
We propose an analytical framework for service oriented computing in Internet of Thing scenarios to derive an optimal performance from an elastic extensible cloud that can serve a request from access, edge and core network. If the number of replicas at different levels (access networks, edge networks and core networks) are maintained according to the values derived from our analysis, then the drop rate and resource utilisation improves significantly without compromising the QoS constraints of the service requests. Under this design, the service consumers devices receive the services from the nearest level of replica(if any) at minimal level of cost which is the most rational form of expectation.
我们提出了一个物联网场景中面向服务计算的分析框架,以从一个可扩展的弹性云中获得最佳性能,该云可以服务于来自接入、边缘和核心网络的请求。如果根据我们的分析得出的值来维护不同级别(接入网、边缘网和核心网)的副本数量,那么在不影响服务请求的QoS约束的情况下,丢包率和资源利用率将显著提高。在这种设计下,服务消费者设备以最小的成本从最近的副本级别(如果有的话)接收服务,这是最合理的期望形式。
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引用次数: 2
Stability and delay analysis of delay tolerant networks with random message arrivals 随机消息到达延迟容忍网络的稳定性和延迟分析
Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945399
S. Yasodharan, V. Sukumaran, C. Singh
We study stability and average delay in single-source single-destination delay tolerant networks with random message arrivals. In particular, we analyze source spray-and-wait routing protocol without feedback. We obtain conditions on arrival rate under which the source queue is stable. We show that the maximum supported arrival rate is linearly proportional to the number of relays and inversely proportional to the spray-and-wait parameter. Further, we obtain an approximate expression for the average queueing delay. We show that it increases with the spray-and-wait parameter. Through simulations, we show that the average delivery delay and average end-to-end delay first decreases and then increases with the spray-and-wait parameter. We also validate our analytical findings through simulations.
研究了具有随机消息到达的单源单目的容忍时延网络的稳定性和平均时延。特别地,我们分析了无反馈的源喷雾等待路由协议。得到了源队列到达率稳定的条件。我们表明,最大支持到达率与继电器数量成线性正比,与喷雾和等待参数成反比。进一步,我们得到了平均排队延迟的近似表达式。我们表明,它随着喷射和等待参数的增加而增加。仿真结果表明,随着喷雾等待参数的增加,平均投递延迟和端到端平均延迟先减小后增大。我们还通过模拟验证了我们的分析结果。
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引用次数: 0
CrowdMap: Crowdsourcing based city traffic map generation CrowdMap:基于众包的城市交通地图生成
Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945459
Rohit Verma
Bus transports in the cities of many developing countries are marred with severe problems, like information unavailability, bad road and bus conditions, lack of proper scheduling and timing, and so on. An information service can become extremely handy for the travelers in countries with emerging economy, where public traffic systems are generally riddled with uncertainty. We have developed CrowdMap an intelligent data logging module for smart-phones and a server side processing mechanism to extract road and bus route information, and to annotate them over the city map.
许多发展中国家城市的公共汽车运输存在着严重的问题,如信息无法获取、道路和公共汽车状况不佳、缺乏适当的调度和时间安排等等。在新兴经济国家,公共交通系统通常充满不确定性,信息服务对旅行者来说非常方便。我们为智能手机开发了智能数据记录模块CrowdMap和服务器端处理机制,提取道路和公交路线信息,并在城市地图上标注。
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引用次数: 3
Dynamic transmission power control in wireless sensor networks using P-I-D feedback control technique 基于P-I-D反馈控制技术的无线传感器网络动态传输功率控制
Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945391
P. Priyesh, Subrat Kart Bharti
Energy consumption of Sensor Nodes is an important issue in Wireless Sensor Network design. Since most of the nodes are minuscule battery operated, increased energy consumption will lead to reduced life time of nodes. One of the mechanism used in WSN for reducing energy consumption is the Transmission Power Control. Transmitting at a constant / highest power level leads to energy wastage and also increases the chances of interference in the network. Hence, by controlling the transmission power, energy can be conserved. In this paper we implement a dynamic transmission power control scheme using PID feedback mechanism. We control the RSSI and LQI using PID mechanism with an aim of reducing the energy consumption without compromising link quality. Performance has been evaluated based on both simulation and experimental results. In addition, we compare it with the well known Adaptive Transmission Power Control Algorithm (ATPC).
传感器节点的能量消耗是无线传感器网络设计中的一个重要问题。由于大多数节点都是微型电池供电,因此能量消耗的增加将导致节点寿命的缩短。无线传感器网络中用于降低能耗的机制之一是传输功率控制。以恒定/最高功率水平传输会导致能量浪费,也会增加网络中干扰的机会。因此,通过控制传输功率,可以节约能量。本文采用PID反馈机制实现了一种动态传输功率控制方案。我们使用PID机制控制RSSI和LQI,目的是在不影响链路质量的情况下降低能耗。基于仿真和实验结果对其性能进行了评价。此外,我们将其与著名的自适应传输功率控制算法(ATPC)进行了比较。
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引用次数: 11
Predicting social dynamics based on network traffic analysis for CCN/ICN management 基于网络流量分析的CCN/ICN管理社会动态预测
Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945460
Satadal Sengupta
Proliferation of online social networks (OSNs) has resulted in an unprecedented surge in the volume of multimedia content consumed by users on a daily basis. Popular OSNs such as Facebook enable users to view and share embedded videos and images on their feeds, which increases visibility, prompting repeated requests for the same piece of content. Maintaining desirable quality of service for all users becomes challenging in such a scenario, especially when low-bandwidth cellular network is being used for data download. Such problems have prompted the research community to focus heavily on the emerging paradigm of Information-or Content-Centric Networking (ICN/CCN), where in-network content management (e.g., content distribution, caching, etc.) forms the crux of an enhanced user experience. In this abstract, we argue that social dynamics among OSN users can provide concrete hints regarding future popularity of content. We propose a strategy to identify viewing and sharing patterns of Facebook users served by a cellular base station, by analyzing network traffic. We utilize these patterns to infer social dynamics among cellular users (mapped to cellphone numbers). We validate our strategy with proof-of-concept experiments on real data, and extensive simulations on a simulation framework proposed by us.
在线社交网络(osn)的激增导致用户每天消费的多媒体内容数量空前激增。Facebook等流行的osn允许用户查看和分享其订阅源上的嵌入式视频和图像,这增加了可见性,从而促使用户重复请求相同的内容。在这种情况下,为所有用户保持理想的服务质量变得具有挑战性,特别是在使用低带宽蜂窝网络进行数据下载时。这些问题促使研究界将重点放在新兴的以信息或内容为中心的网络(ICN/CCN)范式上,其中网络内内容管理(例如,内容分发、缓存等)是增强用户体验的关键。在这篇摘要中,我们认为OSN用户之间的社会动态可以为未来内容的流行提供具体的暗示。我们提出了一种策略,通过分析网络流量来识别蜂窝基站服务的Facebook用户的观看和共享模式。我们利用这些模式来推断手机用户之间的社会动态(映射到手机号码)。我们通过真实数据的概念验证实验验证了我们的策略,并在我们提出的仿真框架上进行了广泛的仿真。
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引用次数: 1
A novel online social network (Twitter)message (Tweet)classifier based on message diffusion in the network 一种新的基于网络中消息扩散的在线社交网络(Twitter)消息分类器
Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945417
M. Giri, S. Jyothi, C. Vorugunti
Online social message classification is an important task for E-Commerce companies to mine and classify the customer opinions. In this paper, we have proposed a first of its kind of an efficient message classification algorithm which is independent of tweet content and considers the set of followers who will retweet during the retweet peaks. By including the followers who will retweet during retweet peaks will get a better sampling of the followers set and reduces the computation and storage complexities drastically. Also, we have eliminated the heavy weight operations like DTW to perform the comparison task between the test vector and training vector. The preliminary experiment results authorize that the proposed system attains an accuracy of 95.96% in classification of tweet messages.
在线社交信息分类是电子商务企业对客户意见进行挖掘和分类的一项重要工作。在本文中,我们首次提出了一种独立于推文内容的高效消息分类算法,该算法考虑了在转发高峰期间将转发推文的关注者集合。通过包含在转发高峰期间转发的关注者,可以获得更好的关注者集采样,并大大降低计算和存储复杂性。此外,我们还消除了DTW等重权操作来执行测试向量和训练向量之间的比较任务。初步实验结果表明,该系统对tweet消息的分类准确率达到95.96%。
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引用次数: 0
Enhancing spectral efficiency in LTE-D2D networks 提高LTE-D2D网络的频谱效率
Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945413
S. Kumar, V. Sathya, Sreenath Ramanath
Base Stations (BSs) in LTE networks face heavy traffic demand from User Equipments (UEs) for voice, online gaming, video calls, file transfers, etc., We consider a LTE Device-to-device (D2D) network where LTE UEs have primary access to the spectrum and D2D pairs have secondary access. In order to offload traffic from BS and to enhance spectral efficiency, operators can activate multiple D2D pairs within the serving BS coverage area, by reusing the same radio resources across the primary LTE UEs and different D2D pairs. However the reuse of spectrum by D2D pairs may not be sufficient to offload the entire user traffic demand in the LTE cellular network. In this context, we propose to enable more D2D secondary users in the serving cell, by utilizing neighboring BS spectrum to fairly co-exist with neighboring LTE primary users.
LTE网络中的基站(BSs)面临来自用户设备(ue)的大量流量需求,用于语音,在线游戏,视频通话,文件传输等。我们考虑LTE设备对设备(D2D)网络,其中LTE终端对频谱具有主要访问权限,D2D对具有次要访问权限。为了卸载来自BS的流量并提高频谱效率,运营商可以通过在主要LTE ue和不同D2D对之间重用相同的无线电资源,在服务的BS覆盖区域内激活多个D2D对。然而,D2D对频谱的重用可能不足以卸载LTE蜂窝网络中的全部用户流量需求。在这种情况下,我们建议通过利用邻近的BS频谱与邻近的LTE主用户公平共存,在服务小区中启用更多的D2D辅助用户。
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引用次数: 2
On automatizing recognition of multiple human activities using ultrasonic sensor grid 基于超声传感器网格的人体多活动自动识别研究
Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945440
Arindam Ghosh, Anubrata Sanyal, Amartya Chakraborty, P. K. Sharma, M. Saha, S. Nandi, Sujoy Saha
Human activity recognition is an important problem in health care, ambient-assisted living, surveillance-based security, etc. and has crucial applications in smart environment. A non-invasive, automated system for monitoring human activity using array of heterogeneous ultrasonic sensors has been proposed in this work. Ultrasonic sensors are widely used for distance measurement in many applications. In the proposed system experiments have been conducted using ten volunteers in a controlled laboratory environment. The data collection unit has two kinds of setups of ultrasonic sensors: the former with five HC-SR04 sensors, and the latter with four HC-SR04 ultrasonic sensors and an LV-MaxSonar-EZ0 sensor. The proposed method is found capable of detecting standing, sitting and falling of a person, and also the movements in different directions. Based on the collected data, we have performed classification analysis using multiple machine learning algorithms. The experimental results show 81% to 90% correct detection of different activities of the volunteers.
人类活动识别是医疗保健、环境辅助生活、基于监控的安防等领域的重要问题,在智能环境中有着重要的应用。在这项工作中,提出了一种使用异质超声传感器阵列监测人体活动的非侵入式自动化系统。超声波传感器在距离测量中有着广泛的应用。在提出的系统实验已经进行了使用10名志愿者在一个受控的实验室环境。数据采集单元有两种超声波传感器配置:前者配置5个HC-SR04传感器,后者配置4个HC-SR04超声波传感器和1个LV-MaxSonar-EZ0传感器。该方法能够检测人的站立、坐姿和跌倒,以及不同方向的运动。基于收集到的数据,我们使用多种机器学习算法进行分类分析。实验结果表明,对志愿者不同活动的识别正确率为81% ~ 90%。
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引用次数: 23
期刊
2017 9th International Conference on Communication Systems and Networks (COMSNETS)
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