虚拟学习社区中的关系网络结构特征分析

关系是虚拟学习社区研究中重要的核心研究对象之一,研究关系型数据需要使用社会网络分析法。本文介绍了虚拟学习社区的网络结构特征,网络结构分析的一般流程、数据处理和部分分析工具等内容。提出社会网络的密度、中心性、凝聚子群、社会位置等都会影响学习者的学习效果,通过分析得出学习者之间的社会网络结构与学习效果是相关的结论。     

局域网即时通信监控系统的研究与实现

针对目前广泛使用的即时通信软件MSN的安全问题,在具体分析其通信协议的基础之上,设计了专门的监控系统。该系统以监控局域网络为目的,主要针对MSN的文本信息进行监控。最后对设计的系统进行了性能测试,测试结果显示该系统具有良好的性能,系统可以在不改变现有网络配置、不影响网络运行效率的前提下,满足局域网对MSN的通信内容进行监控的需求。     

网络信息监控中的MSN Messenger行为模式发现

为了解用户在网络上的行为，网络协议分析和网络行为模式发现是网络监测监控的基本内容之一。本文在阐述了网络行为模式发现的基本方法和实现原理的基础上，以MSN Messenger协议为例，根据捕获的数据包，分析其中有关登录和退出的具体协议内容，找出了此行为模式的特征，据此可以实时发现用户的MSN Messenger行为。本方法已经在实际系统中得到应用。     

流星突发通信数据采集网的研究

本文以边远地区自动水文、气象数据采集网为对象进行流星突发通信系统组网研究,利用流星余迹的空间特性完成了网络内部结构的设计;为提高通信的有效性提出了子群查询,全应答和逐址查询相结合的网络多址协议;将点对点通信系统中用以评价系统性能的平均等待时间等概念在网通信中作了推广。分析与计算的结果表明,本文所设计的系统要优于美国同类SNOTEL系统。     

基于分布式遗传算法的以太无源光网络规划

为使得以太无源光网络中各个光网络单元连接到光分配网络,再将光分配网络连接到光线路终端的全部通信费用为最小,采用分布式遗传算法对以太无源光网络规划进行优化设计.该算法在分群操作的基础上,根据每个子群进化的优劣程度动态地划分子群大小、控制子群间个体的迁移方向.最终仿真结果表明,与传统遗传算法相比,分布式遗传算法使路径搜索更快,更好的收敛于最优.     

即时通信监控系统设计及实现研究

随着网络技术的不断发展,网络技术已经渗透各个领域,即时通信技术为企业对员工行为的有效控制增加了一定的难度,这样就可能出现企业的机密泄露到外界,或者重要资料被窃取等情况,给企业带来不同程度的损失。因此,针对企业对即时通信安全的需求,设计一个有效的监控系统,即协议分析企业所使用的MSN Messenger,基于此,建立一个叫MSNAnalyzer的监控分析系统。利用这个系统能够实时监控企业内部网络,保护企业的信息安全。     

计算机通信网络的日常维护及管理综述

近年来,我国计算机信息产业呈现出了良好的发展态势,且有效带动了其他相关领域的发展。作为计算机通信质量和通信效率的关键影响因素,通信网络的日常维护和管理工作直接决定了网络通信的安全性和可靠性。基于此,本文则以计算机通信网络的日常维护和管理作为主要研究内容,对前人关于此方面内容的相关研究进行论述和分析,以期为营造安全、可靠的计算机通信网络环境提供有价值的参考意见。     

基于动态MSN的软交换多业务环境性能研究

在下一代网络中将提供具有不同性能要求的语音、数据和多媒体业务,研究这些业务性能的相互影响并采用有效的方法保证这些业务的性能指标对下一代网络的成功实施具有重要意义.本文设计了一种多队列的软交换多业务控制框架,在此基础上提出并分析了一种动态最大会话数(MSN,Maximum Session Number)方法来分配系统资源,以有效利用系统资源确保业务性能.仿真结果表明:在软交换多业务环境中,采用动态MSN方法能确保系统的稳定性并有效地满足各种软交换业务的性能要求.     

大数据在通信网络安全领域的应用探索

随着我国科学技术的不断进步,互联网技术在社会生产生活中发挥出了巨大作用,改变了社会生产模式。大数据时代的到来,给社会带来了巨大的变革,同时通信网络安全也面临着一定的威胁。大数据技术的不断发展和成熟,也给了部分不法分子利用的机会,采用不法手段能够更加快速的对通信网络安全造成破坏,给用户带来巨大的损失。因此,应该不断探索大数据在通信网络安全领域的应用,营造良好的通信网络环境。本文将通过分析数据通信网络与网络安全的基本内容,探索大数据在通信网络安全领域的应用策略。     

GPON技术在通信网络建设中的实践

社会经济的持续健康增长,现代科学技术的不断创新和进步,现代通讯事业取得了良好的发展成果.运用在现代通讯工作中的技术在不断的更新当中,人们对于通信网络技术的需求也在逐渐提升.将GPON技术在通信网络建设过程中,有效顺应了当前的社会潮流趋势.本文主要是从GPON技术的内涵、GPON技术的特征和优势以及GPON技术的组成内容和应用类型方面入手,针对GPON技术的基本情况进行全面细致的分析和说明,同时还针对于GPON技术在通信网络建设中的实践作了详细的介绍.     

异构网络中基于移动社交组网的内容传播研究

Since more and more mobile applications are based on the proliferation of social information, the study of Mobile Social Net-works (MSNs) combines social sciences and wireless communications. Operating wireless networks more efficiently by exploiting social relationships between MSN users is an ap-pealing but challenging option for network operators. An MSN-aided content dissemina-tion technique is presented as a potential ex-tension of conventional cellular wireless net-works in order to satisfy growing data traffic. By allowing the MSN users to create a self-organized ad hoc network for spontane-ously disseminating contents, the network operator may be able to reduce the oper-ational costs and simultaneously achieve an improved network performance. In this paper, we first summarize the basic features of the MSN architecture, followed by a survey of the factors which may affect MSN-aided content dissemination. Using a case study, we demon-strate that one can save resources of the Base Station (BS) while substantially lowering content dissemination delay. Finally, other potential applications of MSN-aided content dissemination are introduced, and a range of future challenges are summarized.     

移动社会网络中用户相似性计算的隐私保护研究

移动社会网络（MSN）增强了虚拟世界与现实世界的联系,它允许移动用户发现其现实世界中附近的用户并与之交流。在MSN应用中,为提供更好的服务,通常会比较两个用户的相似性,但在计算用户相似性的过程中很有可能泄露用户的隐私信息。针对这一问题,设计了两种新的相似性计算协议,这些协议保证了在进行相似性计算时不会泄露用户的任何隐私信息。     

Survey on mobile social networking in proximity (MSNP): approaches,challenges and architecture

Recently, mobile social networks (MSN) have gained tremendous attention, which free users from face-to-monitor life, while still can share information and stay in touch with their friends on the go. However most MSN applications regard mobile terminals just as entry points to existing social networks, in which centralized servers (for storage and processing of all application/context data) and continual Internet connectivity are prerequisites for mobile users to exploit MSN services, even though they are within proximity area (like campus, event spot, and community, etc.), and can directly exchange data through various wireless technologies (e.g., Bluetooth, WiFi Direct, etc.). In this paper, we focus on mobile social networking in proximity (MSNP), which is explicitly defined in our paper as: MSNP is wireless peer-to-peer (P2P) network of spontaneously and opportunistically connected nodes, and uses geo-proximity as the primary filter in determining who is discoverable on the social network. In this paper, first, primary support approaches related to MSNP available in literature, are summarized and compared, including MSN, mobile P2P and opportunistic networks. And then, we offer the special characteristics of MSNP, open issues and potential solutions. A networking technologies and platform independent architecture is proposed for developing MSNP applications, and proof-of-concept implementation of WiFi direct based MSNP application is also provided. Our primary goal is to identify the characteristics, technical challenges and potential solutions for future MSNP applications, capable to flexibly adapt to different application domains and deployment requirements.     

无线传感器网络的安全技术研究

无线传感器网络（WSN）是通过无线通信方式形成的一个多跳自组织网络,是集信息采集、信息传输、信息处理于一体的智能化信息系统。由于其本身资源方面存在的局限性和脆弱性,使其安全问题成为一大挑战。文中分析了无线传感器网络的安全需求、可能受到的安全攻击,给出了防御方法和解决方案。通过安全加密协议、认证流广播和多种密钥机制实现传感器网络的数据机密性、完整性和系统鲁棒性。     

Online identities and social influence in social media gambling exposure: A four-country study on young people

Social media tends to gather users around social cliques consisting of similar-minded individuals and shared identities. These online group processes can have significant influence on user behavior, which is alarming when considering risky behaviors such as gambling. This study examined how online clique involvement predicts young people’s interest in gambling content and following observed group norms on social media. Survey respondents were 15–25-year-olds from Finland (n = 1200), the United States (n = 1212), South Korea (n = 1192) and Spain (n = 1212). A self-reported measure of online clique involvement and a gambling-related social media vignette experiment were utilized. The results show that online clique involvement was related to higher interest in gambling content. Content liked by a majority gathered more interest, indicating conformity to a group norm. This finding was especially true among participants with past involvement in online cliques, and the association was strongest in South Korea. The tendency to participate in online clique behavior creates a potentially risky setting when encountering online gambling content, because it may accentuate the effect of observed group norms. Interacting with gambling content increases the visibility of such content due to algorithmic filtering technologies, which can fuel gambling-related intentions and behaviors, and normalize gambling.     

自相似环流网状网性能分析

文章对自相似环流网状网的路由协议做了研究,提出了两种选路算法,并且对自相似环流网状网的性能指标(阻塞率与时延)做了仿真分析,并将仿真结果与根据Manhattan网络模型得到的结果做了对比和分析.结果表明我们的模型比曼哈顿街区网(MSN)模型更适合于光分组交换网络.     

Temporal Accountability and Anonymity in Medical Sensor Networks

The increasing number of elderly patients in the world has lead to various new appliances and technologies in the modern tele-healthcare platform. One such application is the medical sensor network (MSN). In this application, patients are deployed with certain medical sensors and wearable devices and are remotely monitored by professionals. Thus, seeing a doctor in person is no longer the only option for those in need of medical care. Since it is also an economical way to reduce healthcare costs and save medical resources, we expect a robust, reliable, and scalable MSN in the near future. However, the time signal and temporal history in the current MSN are vulnerable due to unsecured infrastructure and transmission strategies. Meanwhile, the MSN may leak patients’ identifications or other sensitive information that violates personal privacy. To make sure that the critical time signal is accountable, we propose a new architecture for the MSN that is capable of temporal accountability. In addition, it also preserves privacy ability via a Crowds anonymous system. The analysis results clearly indicate the advantages of being our proposed methods in terms of low-cost and reliable and having scalable features.     

Relocation algorithm for non-uniform distribution in Mobile Sensor Network

Energy is the determinant factor for the survival of Mobile Sensor Networks (MSN). Based on the analysis of the energy distribution in this paper, a two-phase relocation algorithm is proposed based on the balance between the energy provision and energy consumption distribution. Our main objectives are to maximize the coverage percentage and to minimize the total distance of node movements. This algorithm is designed to meet the requirement of non-uniform distribution network applications, to extend the lifetime of MSN and to simplify the design of the routing protocol. In addition, test results show the feasibility of our proposed relocation algorithm.     

一种基于移动用户行为的回路融合社区发现算法

针对现有基于派系的重叠社区发现算法难以对移动社会化网络实施的问题,该文给出一种基于移动用户行为的回路融合社区发现算法。该算法首先通过分析移动用户行为构建移动社会化网络,利用k-EC(k-Elementary Circuit)简单回路发现算法寻找移动社会化网络的k阶回路作为社区核,并按照给定的规则对社区核进行融合,得到初步社区;然后通过计算移动用户行为的相关度将余下的离散节点加入到相应的初步社区,得到最终的社区;最后通过公开数据集和仿真数据集验证了该算法在移动社会化网络社区发现方面的可行性和有效性。